Currently I research in Information Technology, inside the interdisciplinary field of Computer Aided Diagnosis, Image-based diagnosis and Statistical and Digital Signal Processing. A provisional title for all this research is Computed Aided Diagnosis for the detection of Neurodegenerative Disorders using Medical Imaging.
During this period I have belonged to the Signal Processing and Biomedical Applications (SiPBA) research group, and I have written or contributed to several publications.
Education:
Telecommunications Engineer (2005-2010)
- Grade: 7.225 over 10.
- Best Final Project award for the work Analysis of SPECT brain images for the diagnosis of Alzheimer’s Disease using Factor Analysis and Quadratic Discriminant Functions.
Master on Computer Architecture and Networking (2010-2011)
- Grade: 9.115 over 10.
- Final Project: Functional Activity Maps based on Significance Measures and Independent Component Analysis.
My papers
2023
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J. M. Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J. E. Arco, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S. B. Cho, R. Contreras, J. M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R. J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M. A. Formoso, N. J. Gallego-Molina, J. Gamazo, J. G. González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S. C. F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. de Lope, B. Macas, V. Marrero-Aguiar, J. J. Martinez, F. J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G. J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M. A. Pinninghoff, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P. H. M. P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, A. Tsanas, R. Varela, S. H. Wang, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, and J. M. Ferrández-Vicente, “Computational approaches to explainable artificial intelligence: advances in theory, applications and trends,” Information fusion, vol. 100, 2023. doi:10.1016/j.inffus.2023.101945
[BibTeX] [Download PDF]@ARTICLE{Górriz2023, author={Górriz, J.M. and Álvarez-Illán, I. and Álvarez-Marquina, A. and Arco, J.E. and Atzmueller, M. and Ballarini, F. and Barakova, E. and Bologna, G. and Bonomini, P. and Castellanos-Dominguez, G. and Castillo-Barnes, D. and Cho, S.B. and Contreras, R. and Cuadra, J.M. and Domínguez, E. and Domínguez-Mateos, F. and Duro, R.J. and Elizondo, D. and Fernández-Caballero, A. and Fernandez-Jover, E. and Formoso, M.A. and Gallego-Molina, N.J. and Gamazo, J. and González, J.G. and Garcia-Rodriguez, J. and Garre, C. and Garrigós, J. and Gómez-Rodellar, A. and Gómez-Vilda, P. and Graña, M. and Guerrero-Rodriguez, B. and Hendrikse, S.C.F. and Jimenez-Mesa, C. and Jodra-Chuan, M. and Julian, V. and Kotz, G. and Kutt, K. and Leming, M. and de Lope, J. and Macas, B. and Marrero-Aguiar, V. and Martinez, J.J. and Martinez-Murcia, F.J. and Martínez-Tomás, R. and Mekyska, J. and Nalepa, G.J. and Novais, P. and Orellana, D. and Ortiz, A. and Palacios-Alonso, D. and Palma, J. and Pereira, A. and Pinacho-Davidson, P. and Pinninghoff, M.A. and Ponticorvo, M. and Psarrou, A. and Ramírez, J. and Rincón, M. and Rodellar-Biarge, V. and Rodríguez-Rodríguez, I. and Roelofsma, P.H.M.P. and Santos, J. and Salas-Gonzalez, D. and Salcedo-Lagos, P. and Segovia, F. and Shoeibi, A. and Silva, M. and Simic, D. and Suckling, J. and Treur, J. and Tsanas, A. and Varela, R. and Wang, S.H. and Wang, W. and Zhang, Y.D. and Zhu, H. and Zhu, Z. and Ferrández-Vicente, J.M.}, title={Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends}, journal={Information Fusion}, year={2023}, volume={100}, doi={10.1016/j.inffus.2023.101945}, art_number={101945}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166914338&doi=10.1016%2fj.inffus.2023.101945&partnerID=40&md5=a3a4fa082936e04744d376af77301df3}, document_type={Article}, source={Scopus}, } -
F. Segovia, J. Ramírez, D. Salas-Gonzalez, I. A. Illán, F. J. Martinez-Murcia, J. Rodriguez-Rivero, F. J. Leiva, C. Gaitan, and J. M. Górriz, “Connected system for monitoring electrical power transformers using thermal imaging,” Integrated computer-aided engineering, vol. 30, iss. 4, pp. 353-368, 2023. doi:10.3233/ICA-230712
[BibTeX] [Download PDF]@ARTICLE{Segovia2023353, author={Segovia, F. and Ramírez, J. and Salas-Gonzalez, D. and Illán, I.A. and Martinez-Murcia, F.J. and Rodriguez-Rivero, J. and Leiva, F.J. and Gaitan, C. and Górriz, J.M.}, title={Connected system for monitoring electrical power transformers using thermal imaging}, journal={Integrated Computer-Aided Engineering}, year={2023}, volume={30}, number={4}, pages={353-368}, doi={10.3233/ICA-230712}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171456416&doi=10.3233%2fICA-230712&partnerID=40&md5=4221668dda1db8476456f086a1b84389}, document_type={Article}, source={Scopus}, } -
D. Castillo-Barnes, F. J. Martinez-Murcia, C. Jimenez-Mesa, J. E. Arco, D. Salas-Gonzalez, J. Ramírez, and J. M. Górriz, “Nonlinear weighting ensemble learning model to diagnose parkinson’s disease using multimodal data,” International journal of neural systems, vol. 33, iss. 8, 2023. doi:10.1142/S0129065723500417
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2023, author={Castillo-Barnes, D. and Martinez-Murcia, F.J. and Jimenez-Mesa, C. and Arco, J.E. and Salas-Gonzalez, D. and Ramírez, J. and Górriz, J.M.}, title={Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data}, journal={International Journal of Neural Systems}, year={2023}, volume={33}, number={8}, doi={10.1142/S0129065723500417}, art_number={2350041}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165916916&doi=10.1142%2fS0129065723500417&partnerID=40&md5=c919f974ea16d01f814f6546456ba879}, document_type={Article}, source={Scopus}, } -
N. J. Gallego-Molina, A. Ortiz, F. J. Martínez-Murcia, I. Rodríguez-Rodríguez, and J. L. Luque, “Assessing functional brain network dynamics in dyslexia from fnirs data,” International journal of neural systems, vol. 33, iss. 4, 2023. doi:10.1142/S012906572350017X
[BibTeX] [Download PDF]@ARTICLE{Gallego-Molina2023, author={Gallego-Molina, N.J. and Ortiz, A. and Martínez-Murcia, F.J. and Rodríguez-Rodríguez, I. and Luque, J.L.}, title={Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data}, journal={International Journal of Neural Systems}, year={2023}, volume={33}, number={4}, doi={10.1142/S012906572350017X}, art_number={2350017}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149819657&doi=10.1142%2fS012906572350017X&partnerID=40&md5=d2c63574f52411a8c4df9f02d23ff9bc}, document_type={Article}, source={Scopus}, }
2022
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S. Schönecker, F. J. Martinez-Murcia, B. -S. Rauchmann, N. Franzmeier, C. Prix, E. Wlasich, S. V. Loosli, K. Bochmann, J. -M. Gorriz Saez, R. Laforce, S. Ducharme, M. C. Tartaglia, E. Finger, A. De Mendonça, I. Santana, R. Sanchez-Valle, F. Moreno, S. Sorbi, F. Tagliavini, B. Borroni, M. Otto, M. Synofzik, D. Galimberti, R. Vandenberghe, J. Van Swieten, C. Butler, A. Gerhard, C. Graff, A. Danek, J. D. Rohrer, M. Masellis, J. Rowe, and J. Levin, “Frequency and longitudinal course of motor signs in genetic frontotemporal dementia,” Neurology, vol. 99, iss. 10, p. E1032-E1044, 2022. doi:10.1212/WNL.0000000000200828
[BibTeX] [Download PDF]@ARTICLE{Schönecker2022E1032, author={Schönecker, S. and Martinez-Murcia, F.J. and Rauchmann, B.-S. and Franzmeier, N. and Prix, C. and Wlasich, E. and Loosli, S.V. and Bochmann, K. and Gorriz Saez, J.-M. and Laforce, R. and Ducharme, S. and Tartaglia, M.C. and Finger, E. and De Mendonça, A. and Santana, I. and Sanchez-Valle, R. and Moreno, F. and Sorbi, S. and Tagliavini, F. and Borroni, B. and Otto, M. and Synofzik, M. and Galimberti, D. and Vandenberghe, R. and Van Swieten, J. and Butler, C. and Gerhard, A. and Graff, C. and Danek, A. and Rohrer, J.D. and Masellis, M. and Rowe, J. and Levin, J.}, title={Frequency and Longitudinal Course of Motor Signs in Genetic Frontotemporal Dementia}, journal={Neurology}, year={2022}, volume={99}, number={10}, pages={E1032-E1044}, doi={10.1212/WNL.0000000000200828}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138132410&doi=10.1212%2fWNL.0000000000200828&partnerID=40&md5=2a1026f17d09884e7bddc26077114046}, document_type={Article}, source={Scopus}, } -
D. Castillo-Barnes, C. Jimenez-Mesa, F. J. Martinez-Murcia, D. Salas-Gonzalez, J. Ramírez, and J. M. Górriz, “Quantifying differences between affine and nonlinear spatial normalization of fp-cit spect images,” International journal of neural systems, vol. 32, iss. 5, 2022. doi:10.1142/S0129065722500198
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2022, author={Castillo-Barnes, D. and Jimenez-Mesa, C. and Martinez-Murcia, F.J. and Salas-Gonzalez, D. and Ramírez, J. and Górriz, J.M.}, title={Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images}, journal={International Journal of Neural Systems}, year={2022}, volume={32}, number={5}, doi={10.1142/S0129065722500198}, art_number={2250019}, note={cited By 9}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127914276&doi=10.1142%2fS0129065722500198&partnerID=40&md5=c8c1809089837b83b01fc121475e6388}, document_type={Article}, source={Scopus}, } -
N. J. Gallego-Molina, A. Ortiz, F. J. Martínez-Murcia, M. A. Formoso, and A. Giménez, “Complex network modeling of eeg band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis,” Knowledge-based systems, vol. 240, 2022. doi:10.1016/j.knosys.2021.108098
[BibTeX] [Download PDF]@ARTICLE{Gallego-Molina2022, author={Gallego-Molina, N.J. and Ortiz, A. and Martínez-Murcia, F.J. and Formoso, M.A. and Giménez, A.}, title={Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis}, journal={Knowledge-Based Systems}, year={2022}, volume={240}, doi={10.1016/j.knosys.2021.108098}, art_number={108098}, note={cited By 9}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123284185&doi=10.1016%2fj.knosys.2021.108098&partnerID=40&md5=7029c2dce31b64ad0a9a8deafdbf1fef}, document_type={Article}, source={Scopus}, } -
J. E. Arco, A. Ortiz, J. Ramirez, F. J. Martinez-Murcia, Y. Zhang, J. Broncano, M. A. Berbis, J. Royuela-del-Val, A. Luna, and J. M. Gorriz, “Probabilistic combination of non-linear eigenprojections for ensemble classification,” Ieee transactions on emerging topics in computational intelligence, pp. 1-11, 2022. doi:10.1109/TETCI.2022.3210582
[BibTeX] [Download PDF]@ARTICLE{Arco20221, author={Arco, J.E. and Ortiz, A. and Ramirez, J. and Martinez-Murcia, F.J. and Zhang, Y. and Broncano, J. and Berbis, M.A. and Royuela-del-Val, J. and Luna, A. and Gorriz, J.M.}, title={Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification}, journal={IEEE Transactions on Emerging Topics in Computational Intelligence}, year={2022}, pages={1-11}, doi={10.1109/TETCI.2022.3210582}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139835625&doi=10.1109%2fTETCI.2022.3210582&partnerID=40&md5=f8d4d089c84e727cc77ef28570d54b30}, document_type={Article}, source={Scopus}, } -
J. E. Arco, A. Ortiz, J. Ramírez, F. J. Martínez-Murcia, Y. -D. Zhang, and J. M. Górriz, “Uncertainty-driven ensembles of multi-scale deep architectures for image classification,” Information fusion, vol. 89, pp. 53-65, 2022. doi:10.1016/j.inffus.2022.08.010
[BibTeX] [Download PDF]@ARTICLE{Arco202253, author={Arco, J.E. and Ortiz, A. and Ramírez, J. and Martínez-Murcia, F.J. and Zhang, Y.-D. and Górriz, J.M.}, title={Uncertainty-driven ensembles of multi-scale deep architectures for image classification}, journal={Information Fusion}, year={2022}, volume={89}, pages={53-65}, doi={10.1016/j.inffus.2022.08.010}, note={cited By 12}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136665514&doi=10.1016%2fj.inffus.2022.08.010&partnerID=40&md5=febc2d8a166ff3d331e9900d582ec115}, document_type={Article}, source={Scopus}, } -
F. Segovia, J. Ramírez, D. Salas-Gonzalez, I. A. Illán, F. J. Martinez-Murcia, J. Rodriguez-Rivero, F. J. Leiva, C. Gaitan, and J. M. Górriz, “Temperature control and monitoring system for electrical power transformers using thermal imaging,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 13259 LNCS, pp. 573-582, 2022. doi:10.1007/978-3-031-06527-9_57
[BibTeX] [Download PDF]@ARTICLE{Segovia2022573, author={Segovia, F. and Ramírez, J. and Salas-Gonzalez, D. and Illán, I.A. and Martinez-Murcia, F.J. and Rodriguez-Rivero, J. and Leiva, F.J. and Gaitan, C. and Górriz, J.M.}, title={Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2022}, volume={13259 LNCS}, pages={573-582}, doi={10.1007/978-3-031-06527-9_57}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132117510&doi=10.1007%2f978-3-031-06527-9_57&partnerID=40&md5=ca4b5f9d7f50ff843781a05e7986b867}, document_type={Conference Paper}, source={Scopus}, } -
J. A. Simón-Rodríguez, F. J. Martinez-Murcia, J. Ramírez, D. Castillo-Barnes, and J. M. Gorriz, “Modelling the progression of the symptoms of parkinsons disease using a nonlinear decomposition of 123i fp-cit spect images,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 13258 LNCS, pp. 104-113, 2022. doi:10.1007/978-3-031-06242-1_11
[BibTeX] [Download PDF]@ARTICLE{Simón-Rodríguez2022104, author={Simón-Rodríguez, J.A. and Martinez-Murcia, F.J. and Ramírez, J. and Castillo-Barnes, D. and Gorriz, J.M.}, title={Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2022}, volume={13258 LNCS}, pages={104-113}, doi={10.1007/978-3-031-06242-1_11}, note={cited By 2}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132044130&doi=10.1007%2f978-3-031-06242-1_11&partnerID=40&md5=5d41695624711d601f93d3250881c4f2}, document_type={Conference Paper}, source={Scopus}, } -
N. J. Gallego-Molina, A. Ortiz, F. J. Martínez-Murcia, and I. Rodríguez-Rodríguez, “Unraveling dyslexia-related connectivity patterns in eeg signals by holo-hilbert spectral analysis,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 13258 LNCS, pp. 43-52, 2022. doi:10.1007/978-3-031-06242-1_5
[BibTeX] [Download PDF]@ARTICLE{Gallego-Molina202243, author={Gallego-Molina, N.J. and Ortiz, A. and Martínez-Murcia, F.J. and Rodríguez-Rodríguez, I.}, title={Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2022}, volume={13258 LNCS}, pages={43-52}, doi={10.1007/978-3-031-06242-1_5}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132033620&doi=10.1007%2f978-3-031-06242-1_5&partnerID=40&md5=c6ebc3b514d52f2f9593ae33e6dd5407}, document_type={Conference Paper}, source={Scopus}, } -
C. Reyes-Daneri, F. J. Martínez-Murcia, and A. Ortiz, “Capacity estimation from environmental audio signals using deep learning,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 13258 LNCS, pp. 114-124, 2022. doi:10.1007/978-3-031-06242-1_12
[BibTeX] [Download PDF]@ARTICLE{Reyes-Daneri2022114, author={Reyes-Daneri, C. and Martínez-Murcia, F.J. and Ortiz, A.}, title={Capacity Estimation from Environmental Audio Signals Using Deep Learning}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2022}, volume={13258 LNCS}, pages={114-124}, doi={10.1007/978-3-031-06242-1_12}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132026829&doi=10.1007%2f978-3-031-06242-1_12&partnerID=40&md5=9a629676864ece2232637aac3d5f36fd}, document_type={Conference Paper}, source={Scopus}, } -
M. A. Formoso, A. Ortiz, F. J. Martínez-Murcia, D. A. Brítez, J. J. Escobar, and J. L. Luque, “Temporal phase synchrony disruption in dyslexia: anomaly patterns in auditory processing,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 13258 LNCS, pp. 13-22, 2022. doi:10.1007/978-3-031-06242-1_2
[BibTeX] [Download PDF]@ARTICLE{Formoso202213, author={Formoso, M.A. and Ortiz, A. and Martínez-Murcia, F.J. and Brítez, D.A. and Escobar, J.J. and Luque, J.L.}, title={Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2022}, volume={13258 LNCS}, pages={13-22}, doi={10.1007/978-3-031-06242-1_2}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132010420&doi=10.1007%2f978-3-031-06242-1_2&partnerID=40&md5=74d099c1a27554fd1e8438ca43c13f53}, document_type={Conference Paper}, source={Scopus}, }
2021
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M. A. Formoso, A. Ortiz, F. J. Martinez-Murcia, N. Gallego, and J. L. Luque, “Detecting phase-synchrony connectivity anomalies in eeg signals. application to dyslexia diagnosis,” Sensors, vol. 21, iss. 21, 2021. doi:10.3390/s21217061
[BibTeX] [Download PDF]@ARTICLE{Formoso2021, author={Formoso, M.A. and Ortiz, A. and Martinez-Murcia, F.J. and Gallego, N. and Luque, J.L.}, title={Detecting phase-synchrony connectivity anomalies in eeg signals. Application to dyslexia diagnosis}, journal={Sensors}, year={2021}, volume={21}, number={21}, doi={10.3390/s21217061}, art_number={7061}, note={cited By 4}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117581999&doi=10.3390%2fs21217061&partnerID=40&md5=32b1561ca895de002eb8d2188e581bd6}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. Ramírez, J. M. Górriz, and R. Cruz, “Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy,” Neurocomputing, vol. 452, pp. 424-434, 2021. doi:10.1016/j.neucom.2020.04.148
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2021424, author={Martinez-Murcia, F.J. and Ortiz, A. and Ramírez, J. and Górriz, J.M. and Cruz, R.}, title={Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy}, journal={Neurocomputing}, year={2021}, volume={452}, pages={424-434}, doi={10.1016/j.neucom.2020.04.148}, note={cited By 36}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096187478&doi=10.1016%2fj.neucom.2020.04.148&partnerID=40&md5=8cfcdf0bd655a62a6f773a0c0fb92788}, document_type={Article}, source={Scopus}, } -
J. M. Gorriz, C. Jimenez-Mesa, R. Romero-Garcia, F. Segovia, J. Ramirez, D. Castillo-Barnes, F. J. Martinez-Murcia, A. Ortiz, D. Salas-Gonzalez, I. A. Illan, C. G. Puntonet, D. Lopez-Garcia, M. Gomez-Rio, and J. Suckling, “Statistical agnostic mapping: a framework in neuroimaging based on concentration inequalities,” Information fusion, vol. 66, pp. 198-212, 2021. doi:10.1016/j.inffus.2020.09.008
[BibTeX] [Download PDF]@ARTICLE{Gorriz2021198, author={Gorriz, J.M. and Jimenez-Mesa, C. and Romero-Garcia, R. and Segovia, F. and Ramirez, J. and Castillo-Barnes, D. and Martinez-Murcia, F.J. and Ortiz, A. and Salas-Gonzalez, D. and Illan, I.A. and Puntonet, C.G. and Lopez-Garcia, D. and Gomez-Rio, M. and Suckling, J.}, title={Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities}, journal={Information Fusion}, year={2021}, volume={66}, pages={198-212}, doi={10.1016/j.inffus.2020.09.008}, note={cited By 15}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091802392&doi=10.1016%2fj.inffus.2020.09.008&partnerID=40&md5=776667fb2536861e6bedd93118b36ab7}, document_type={Article}, source={Scopus}, } -
M. A. Formoso, A. Ortiz, F. J. Martínez-Murcia, N. Gallego-Molina, J. L. Luque, J. J. Escobar, and F. G. Montoya, “Modelling brain connectivity networks by graph embedding for dyslexia diagnosis,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 12940 LNCS, pp. 97-106, 2021. doi:10.1007/978-3-030-88163-4_9
[BibTeX] [Download PDF]@ARTICLE{Formoso202197, author={Formoso, M.A. and Ortiz, A. and Martínez-Murcia, F.J. and Gallego-Molina, N. and Luque, J.L. and Escobar, J.J. and Montoya, F.G.}, title={Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2021}, volume={12940 LNCS}, pages={97-106}, doi={10.1007/978-3-030-88163-4_9}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118130351&doi=10.1007%2f978-3-030-88163-4_9&partnerID=40&md5=c123cff9aa979628807d6fb74fc1f169}, document_type={Conference Paper}, source={Scopus}, } -
N. J. Gallego-Molina, M. Formoso, A. Ortiz, F. J. Martínez-Murcia, and J. L. Luque, “Temporal eigenpac for dyslexia diagnosis,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 12862 LNCS, pp. 45-56, 2021. doi:10.1007/978-3-030-85099-9_4
[BibTeX] [Download PDF]@ARTICLE{Gallego-Molina202145, author={Gallego-Molina, N.J. and Formoso, M. and Ortiz, A. and Martínez-Murcia, F.J. and Luque, J.L.}, title={Temporal EigenPAC for Dyslexia Diagnosis}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2021}, volume={12862 LNCS}, pages={45-56}, doi={10.1007/978-3-030-85099-9_4}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115170049&doi=10.1007%2f978-3-030-85099-9_4&partnerID=40&md5=78a0ece4cf4fb117ca62b839e685c9b7}, document_type={Conference Paper}, source={Scopus}, }
2020
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D. Castillo-Barnes, F. J. Martinez-Murcia, J. Ramírez, J. M. Górriz, and D. Salas-Gonzalez, “Expectation–maximization algorithm for finite mixture of α-stable distributions,” Neurocomputing, vol. 413, pp. 210-216, 2020. doi:10.1016/j.neucom.2020.06.114
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2020210, author={Castillo-Barnes, D. and Martinez-Murcia, F.J. and Ramírez, J. and Górriz, J.M. and Salas-Gonzalez, D.}, title={Expectation–Maximization algorithm for finite mixture of α-stable distributions}, journal={Neurocomputing}, year={2020}, volume={413}, pages={210-216}, doi={10.1016/j.neucom.2020.06.114}, note={cited By 15}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088297790&doi=10.1016%2fj.neucom.2020.06.114&partnerID=40&md5=b5b3d4f07d08a37ad72bae8f3dc89f52}, document_type={Article}, source={Scopus}, } -
J. M. Górriz, J. Ramírez, A. Ortíz, F. J. Martínez-Murcia, F. Segovia, J. Suckling, M. Leming, Y. -D. Zhang, J. R. Álvarez-Sánchez, G. Bologna, P. Bonomini, F. E. Casado, D. Charte, F. Charte, R. Contreras, A. Cuesta-Infante, R. J. Duro, A. Fernández-Caballero, E. Fernández-Jover, P. Gómez-Vilda, M. Graña, F. Herrera, R. Iglesias, A. Lekova, J. de Lope, E. López-Rubio, R. Martínez-Tomás, M. A. Molina-Cabello, A. S. Montemayor, P. Novais, D. Palacios-Alonso, J. J. Pantrigo, B. R. Payne, F. de la Paz López, M. A. Pinninghoff, M. Rincón, J. Santos, K. Thurnhofer-Hemsi, A. Tsanas, R. Varela, and J. M. Ferrández, “Artificial intelligence within the interplay between natural and artificial computation: advances in data science, trends and applications,” Neurocomputing, vol. 410, pp. 237-270, 2020. doi:10.1016/j.neucom.2020.05.078
[BibTeX] [Download PDF]@ARTICLE{Górriz2020237, author={Górriz, J.M. and Ramírez, J. and Ortíz, A. and Martínez-Murcia, F.J. and Segovia, F. and Suckling, J. and Leming, M. and Zhang, Y.-D. and Álvarez-Sánchez, J.R. and Bologna, G. and Bonomini, P. and Casado, F.E. and Charte, D. and Charte, F. and Contreras, R. and Cuesta-Infante, A. and Duro, R.J. and Fernández-Caballero, A. and Fernández-Jover, E. and Gómez-Vilda, P. and Graña, M. and Herrera, F. and Iglesias, R. and Lekova, A. and de Lope, J. and López-Rubio, E. and Martínez-Tomás, R. and Molina-Cabello, M.A. and Montemayor, A.S. and Novais, P. and Palacios-Alonso, D. and Pantrigo, J.J. and Payne, B.R. and de la Paz López, F. and Pinninghoff, M.A. and Rincón, M. and Santos, J. and Thurnhofer-Hemsi, K. and Tsanas, A. and Varela, R. and Ferrández, J.M.}, title={Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications}, journal={Neurocomputing}, year={2020}, volume={410}, pages={237-270}, doi={10.1016/j.neucom.2020.05.078}, note={cited By 93}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086822378&doi=10.1016%2fj.neucom.2020.05.078&partnerID=40&md5=fec310f19f563c7f02b6e12ba2c34936}, document_type={Article}, source={Scopus}, } -
D. Castillo-Barnes, F. J. Martinez-Murcia, A. Ortiz, D. Salas-Gonzalez, J. Ramírez, and J. M. Górriz, “Morphological characterization of functional brain imaging by isosurface analysis in parkinson’s disease,” International journal of neural systems, vol. 30, iss. 9, 2020. doi:10.1142/S0129065720500446
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2020, author={Castillo-Barnes, D. and Martinez-Murcia, F.J. and Ortiz, A. and Salas-Gonzalez, D. and Ramírez, J. and Górriz, J.M.}, title={Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease}, journal={International Journal of Neural Systems}, year={2020}, volume={30}, number={9}, doi={10.1142/S0129065720500446}, art_number={2050044}, note={cited By 21}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090870241&doi=10.1142%2fS0129065720500446&partnerID=40&md5=13101622d1b776104ae104dc8853e19a}, document_type={Article}, source={Scopus}, } -
A. Ortiz, F. J. Martinez-Murcia, J. L. Luque, A. Giménez, R. Morales-Ortega, and J. Ortega, “Dyslexia diagnosis by eeg temporal and spectral descriptors: an anomaly detection approach,” International journal of neural systems, vol. 30, iss. 7, 2020. doi:10.1142/S012906572050029X
[BibTeX] [Download PDF]@ARTICLE{Ortiz2020, author={Ortiz, A. and Martinez-Murcia, F.J. and Luque, J.L. and Giménez, A. and Morales-Ortega, R. and Ortega, J.}, title={Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach}, journal={International Journal of Neural Systems}, year={2020}, volume={30}, number={7}, doi={10.1142/S012906572050029X}, art_number={2050029}, note={cited By 18}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086260623&doi=10.1142%2fS012906572050029X&partnerID=40&md5=e25ad8e49d5e68ef98804557bfca0aa2}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. M. Gorriz, J. Ramirez, P. J. Lopez-Abarejo, M. Lopez-Zamora, and J. L. Luque, “Eeg connectivity analysis using denoising autoencoders for the detection of dyslexia,” International journal of neural systems, vol. 30, iss. 7, 2020. doi:10.1142/S0129065720500379
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2020, author={Martinez-Murcia, F.J. and Ortiz, A. and Gorriz, J.M. and Ramirez, J. and Lopez-Abarejo, P.J. and Lopez-Zamora, M. and Luque, J.L.}, title={EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia}, journal={International Journal of Neural Systems}, year={2020}, volume={30}, number={7}, doi={10.1142/S0129065720500379}, art_number={2050037}, note={cited By 19}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086133572&doi=10.1142%2fS0129065720500379&partnerID=40&md5=6c5e42921f117716a1c44a9fac5ad15a}, document_type={Article}, source={Scopus}, } -
D. Castillo-Barnes, L. Su, J. Ramírez, D. Salas-Gonzalez, F. J. Martinez-Murcia, I. A. Illan, F. Segovia, A. Ortiz, C. Cruchaga, M. R. Farlow, C. Xiong, N. R. Graff-Radford, P. R. Schofield, C. L. Masters, S. Salloway, M. Jucker, H. Mori, J. Levin, J. M. Gorriz, and D. I. A. N. (DIAN), “Autosomal dominantly inherited alzheimer disease: analysis of genetic subgroups by machine learning,” Information fusion, vol. 58, pp. 153-167, 2020. doi:10.1016/j.inffus.2020.01.001
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2020153, author={Castillo-Barnes, D. and Su, L. and Ramírez, J. and Salas-Gonzalez, D. and Martinez-Murcia, F.J. and Illan, I.A. and Segovia, F. and Ortiz, A. and Cruchaga, C. and Farlow, M.R. and Xiong, C. and Graff-Radford, N.R. and Schofield, P.R. and Masters, C.L. and Salloway, S. and Jucker, M. and Mori, H. and Levin, J. and Gorriz, J.M. and (DIAN), D.I.A.N.}, title={Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning}, journal={Information Fusion}, year={2020}, volume={58}, pages={153-167}, doi={10.1016/j.inffus.2020.01.001}, note={cited By 14}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077807763&doi=10.1016%2fj.inffus.2020.01.001&partnerID=40&md5=70f5611828ced821f91bc1139be1ab7d}, document_type={Article}, source={Scopus}, } -
J. Rodriguez-Rivero, J. Ramirez, F. J. Martínez-Murcia, F. Segovia, A. Ortiz, D. Salas, D. Castillo-Barnes, I. A. Illan, C. G. Puntonet, C. Jimenez-Mesa, F. J. Leiva, S. Carillo, J. Suckling, and J. M. Gorriz, “Granger causality-based information fusion applied to electrical measurements from power transformers,” Information fusion, vol. 57, pp. 59-70, 2020. doi:10.1016/j.inffus.2019.12.005
[BibTeX] [Download PDF]@ARTICLE{Rodriguez-Rivero202059, author={Rodriguez-Rivero, J. and Ramirez, J. and Martínez-Murcia, F.J. and Segovia, F. and Ortiz, A. and Salas, D. and Castillo-Barnes, D. and Illan, I.A. and Puntonet, C.G. and Jimenez-Mesa, C. and Leiva, F.J. and Carillo, S. and Suckling, J. and Gorriz, J.M.}, title={Granger causality-based information fusion applied to electrical measurements from power transformers}, journal={Information Fusion}, year={2020}, volume={57}, pages={59-70}, doi={10.1016/j.inffus.2019.12.005}, note={cited By 7}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076609027&doi=10.1016%2fj.inffus.2019.12.005&partnerID=40&md5=0b7fb392b31b43c338ca92ff571f7d84}, document_type={Article}, source={Scopus}, } -
P. Manresa-Nebot, F. J. Martinez-Murcia, I. A. Illan, J. M. Górriz, J. Ramírez, and F. Segovia, “Estimating the severity of alzheimer’s disease using convolutional neural networks and magnetic resonance imaging data.” 2020. doi:10.1109/NSS/MIC42677.2020.9507767
[BibTeX] [Download PDF]@CONFERENCE{Manresa-Nebot2020, author={Manresa-Nebot, P. and Martinez-Murcia, F.J. and Illan, I.A. and Górriz, J.M. and Ramírez, J. and Segovia, F.}, title={Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data}, journal={2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020}, year={2020}, doi={10.1109/NSS/MIC42677.2020.9507767}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124707699&doi=10.1109%2fNSS%2fMIC42677.2020.9507767&partnerID=40&md5=62a61f4a0bc92cab1955bb06d51b97fa}, document_type={Conference Paper}, source={Scopus}, } -
A. Ortiz, F. J. Martínez-Murcia, M. A. Formoso, J. L. Luque, and A. Sánchez, “Dyslexia detection from eeg signals using ssa component correlation and convolutional neural networks,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 12344 LNAI, pp. 655-664, 2020. doi:10.1007/978-3-030-61705-9_54
[BibTeX] [Download PDF]@ARTICLE{Ortiz2020655, author={Ortiz, A. and Martínez-Murcia, F.J. and Formoso, M.A. and Luque, J.L. and Sánchez, A.}, title={Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2020}, volume={12344 LNAI}, pages={655-664}, doi={10.1007/978-3-030-61705-9_54}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097099648&doi=10.1007%2f978-3-030-61705-9_54&partnerID=40&md5=5baa91a53ff83893988fb16b75686c3c}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, M. A. Formoso, M. Lopez-Zamora, J. L. Luque, and A. Gimenez, “A neural approach to ordinal regression for the preventive assessment of developmental dyslexia,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 12344 LNAI, pp. 620-630, 2020. doi:10.1007/978-3-030-61705-9_51
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2020620, author={Martinez-Murcia, F.J. and Ortiz, A. and Formoso, M.A. and Lopez-Zamora, M. and Luque, J.L. and Gimenez, A.}, title={A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2020}, volume={12344 LNAI}, pages={620-630}, doi={10.1007/978-3-030-61705-9_51}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097064023&doi=10.1007%2f978-3-030-61705-9_51&partnerID=40&md5=af97f2dc2a3d522ca9d02db858a20d85}, document_type={Conference Paper}, source={Scopus}, } -
C. Jimenez-Mesa, I. A. Illan, A. Martin-Martin, D. Castillo-Barnes, F. J. Martinez-Murcia, J. Ramirez, and J. M. Gorriz, “Optimized one vs one approach in multiclass classification for early alzheimer’s disease and mild cognitive impairment diagnosis,” Ieee access, vol. 8, pp. 96981-96993, 2020. doi:10.1109/ACCESS.2020.2997736
[BibTeX] [Download PDF]@ARTICLE{Jimenez-Mesa202096981, author={Jimenez-Mesa, C. and Illan, I.A. and Martin-Martin, A. and Castillo-Barnes, D. and Martinez-Murcia, F.J. and Ramirez, J. and Gorriz, J.M.}, title={Optimized one vs one approach in multiclass classification for early alzheimer's disease and mild cognitive impairment diagnosis}, journal={IEEE Access}, year={2020}, volume={8}, pages={96981-96993}, doi={10.1109/ACCESS.2020.2997736}, art_number={9099858}, note={cited By 18}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086567364&doi=10.1109%2fACCESS.2020.2997736&partnerID=40&md5=023bab05a44f2a1f5ed1d71ab901bcaa}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. -M. Gorriz, J. Ramirez, and D. Castillo-Barnes, “Studying the manifold structure of alzheimer’s disease: a deep learning approach using convolutional autoencoders,” Ieee journal of biomedical and health informatics, vol. 24, iss. 1, pp. 17-26, 2020. doi:10.1109/JBHI.2019.2914970
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia202017, author={Martinez-Murcia, F.J. and Ortiz, A. and Gorriz, J.-M. and Ramirez, J. and Castillo-Barnes, D.}, title={Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders}, journal={IEEE Journal of Biomedical and Health Informatics}, year={2020}, volume={24}, number={1}, pages={17-26}, doi={10.1109/JBHI.2019.2914970}, art_number={8737996}, note={cited By 103}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077666866&doi=10.1109%2fJBHI.2019.2914970&partnerID=40&md5=4de53981646edc13601c8d4a5baf99c2}, document_type={Article}, source={Scopus}, }
2019
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J. M. Górriz, J. Ramírez, F. Segovia, F. J. Martínez, M. -C. Lai, M. V. Lombardo, S. Baron-Cohen, and J. Suckling, “A machine learning approach to reveal the neurophenotypes of autisms,” International journal of neural systems, vol. 29, iss. 7, 2019. doi:10.1142/S0129065718500582
[BibTeX] [Download PDF]@ARTICLE{Górriz2019, author={Górriz, J.M. and Ramírez, J. and Segovia, F. and Martínez, F.J. and Lai, M.-C. and Lombardo, M.V. and Baron-Cohen, S. and Suckling, J.}, title={A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms}, journal={International Journal of Neural Systems}, year={2019}, volume={29}, number={7}, doi={10.1142/S0129065718500582}, art_number={1850058}, note={cited By 25}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061933717&doi=10.1142%2fS0129065718500582&partnerID=40&md5=bd8ce1b93e7a92c2e5ed86cd5a6e4640}, document_type={Article}, source={Scopus}, } -
A. Ortiz, J. Munilla, F. J. Martínez-Murcia, J. M. Górriz, and J. Ramírez, “Empirical functional pca for 3d image feature extraction through fractal sampling,” International journal of neural systems, vol. 29, iss. 2, 2019. doi:10.1142/S0129065718500405
[BibTeX] [Download PDF]@ARTICLE{Ortiz2019, author={Ortiz, A. and Munilla, J. and Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J.}, title={Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling}, journal={International Journal of Neural Systems}, year={2019}, volume={29}, number={2}, doi={10.1142/S0129065718500405}, art_number={1850040}, note={cited By 13}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055051671&doi=10.1142%2fS0129065718500405&partnerID=40&md5=c5c3df9df452e7f1c260c84be49b17a9}, document_type={Article}, source={Scopus}, } -
A. Ortiz, F. J. Martínez Murcia, J. Munilla, J. M. Górriz, and J. Ramírez, “Label aided deep ranking for the automatic diagnosis of parkinsonian syndromes,” Neurocomputing, vol. 330, pp. 162-171, 2019. doi:10.1016/j.neucom.2018.10.074
[BibTeX] [Download PDF]@ARTICLE{Ortiz2019162, author={Ortiz, A. and Martínez Murcia, F.J. and Munilla, J. and Górriz, J.M. and Ramírez, J.}, title={Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes}, journal={Neurocomputing}, year={2019}, volume={330}, pages={162-171}, doi={10.1016/j.neucom.2018.10.074}, note={cited By 5}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056824600&doi=10.1016%2fj.neucom.2018.10.074&partnerID=40&md5=e9f307d2e7ef41d8bc772440c9d38599}, document_type={Article}, source={Scopus}, } -
I. A. Illan, J. M. Gorriz, J. Ramirez, F. J. Martinez-Murcia, D. Castillo-Barnes, F. Segovia, and D. Salas-Gonzalez, “Support vector machine failure in imbalanced datasets,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11486 LNCS, pp. 412-419, 2019. doi:10.1007/978-3-030-19591-5_42
[BibTeX] [Download PDF]@ARTICLE{Illan2019412, author={Illan, I.A. and Gorriz, J.M. and Ramirez, J. and Martinez-Murcia, F.J. and Castillo-Barnes, D. and Segovia, F. and Salas-Gonzalez, D.}, title={Support Vector Machine Failure in Imbalanced Datasets}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2019}, volume={11486 LNCS}, pages={412-419}, doi={10.1007/978-3-030-19591-5_42}, note={cited By 2}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065892537&doi=10.1007%2f978-3-030-19591-5_42&partnerID=40&md5=85f328d3cb76b84a23ada455b4eb4b03}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, F. J. Martinez-Murcia, F. Segovia, I. A. Illán, D. Salas-Gonzalez, J. M. Górriz, and J. Ramírez, “Comparison between affine and non-affine transformations applied to i [ 123 ] -fp-cit spect images used for parkinson’s disease diagnosis,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11486 LNCS, pp. 379-388, 2019. doi:10.1007/978-3-030-19591-5_39
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2019379, author={Castillo-Barnes, D. and Martinez-Murcia, F.J. and Segovia, F. and Illán, I.A. and Salas-Gonzalez, D. and Górriz, J.M. and Ramírez, J.}, title={Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2019}, volume={11486 LNCS}, pages={379-388}, doi={10.1007/978-3-030-19591-5_39}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065880831&doi=10.1007%2f978-3-030-19591-5_39&partnerID=40&md5=9c8f85d80105c3c1d377319fee97beec}, document_type={Conference Paper}, source={Scopus}, } -
A. Ortiz, P. J. López, J. L. Luque, F. J. Martínez-Murcia, D. A. Aquino-Britez, and J. Ortega, “An anomaly detection approach for dyslexia diagnosis using eeg signals,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11486 LNCS, pp. 369-378, 2019. doi:10.1007/978-3-030-19591-5_38
[BibTeX] [Download PDF]@ARTICLE{Ortiz2019369, author={Ortiz, A. and López, P.J. and Luque, J.L. and Martínez-Murcia, F.J. and Aquino-Britez, D.A. and Ortega, J.}, title={An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2019}, volume={11486 LNCS}, pages={369-378}, doi={10.1007/978-3-030-19591-5_38}, note={cited By 9}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065869286&doi=10.1007%2f978-3-030-19591-5_38&partnerID=40&md5=f2ecf55d7e65b265afe2826650cdefa6}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, R. Morales-Ortega, P. J. López, J. L. Luque, D. Castillo-Barnes, F. Segovia, I. A. Illan, J. Ortega, J. Ramirez, and J. M. Gorriz, “Periodogram connectivity of eeg signals for the detection of dyslexia,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11486 LNCS, pp. 350-359, 2019. doi:10.1007/978-3-030-19591-5_36
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2019350, author={Martinez-Murcia, F.J. and Ortiz, A. and Morales-Ortega, R. and López, P.J. and Luque, J.L. and Castillo-Barnes, D. and Segovia, F. and Illan, I.A. and Ortega, J. and Ramirez, J. and Gorriz, J.M.}, title={Periodogram Connectivity of EEG Signals for the Detection of Dyslexia}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2019}, volume={11486 LNCS}, pages={350-359}, doi={10.1007/978-3-030-19591-5_36}, note={cited By 13}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065860151&doi=10.1007%2f978-3-030-19591-5_36&partnerID=40&md5=d59996cc7edfde341ae166d1a721c582}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, J. M. Górriz, J. Ramírez, F. J. Martínez-Murcia, and D. Castillo-Barnes, “Assisted diagnosis of parkinsonism based on the striatal morphology,” International journal of neural systems, vol. 29, iss. 9, 2019. doi:10.1142/S0129065719500114
[BibTeX] [Download PDF]@ARTICLE{Segovia2019, author={Segovia, F. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J. and Castillo-Barnes, D.}, title={Assisted diagnosis of parkinsonism based on the striatal morphology}, journal={International Journal of Neural Systems}, year={2019}, volume={29}, number={9}, doi={10.1142/S0129065719500114}, art_number={1950011}, note={cited By 24}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065661320&doi=10.1142%2fS0129065719500114&partnerID=40&md5=971464ba4707022f019e3e173016f732}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. M. Gorriz, J. Ramirez, D. Castillo-Barnes, D. Salas-Gonzalez, and F. Segovia, “Deep convolutional autoencoders vs pca in a highly-unbalanced parkinson’s disease dataset: a datscan study,” Advances in intelligent systems and computing, vol. 771, pp. 47-56, 2019. doi:10.1007/978-3-319-94120-2_5
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia201947, author={Martinez-Murcia, F.J. and Ortiz, A. and Gorriz, J.M. and Ramirez, J. and Castillo-Barnes, D. and Salas-Gonzalez, D. and Segovia, F.}, title={Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study}, journal={Advances in Intelligent Systems and Computing}, year={2019}, volume={771}, pages={47-56}, doi={10.1007/978-3-319-94120-2_5}, note={cited By 13}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048639690&doi=10.1007%2f978-3-319-94120-2_5&partnerID=40&md5=c1c2d2cbee235702843c473523fb2378}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, F. Segovia, F. J. Martinez-Murcia, D. Salas-Gonzalez, J. Ramírez, and J. M. Górriz, “Classification improvement for parkinson’s disease diagnosis using the gradient magnitude in datscan spect images,” Advances in intelligent systems and computing, vol. 771, pp. 100-109, 2019. doi:10.1007/978-3-319-94120-2_10
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2019100, author={Castillo-Barnes, D. and Segovia, F. and Martinez-Murcia, F.J. and Salas-Gonzalez, D. and Ramírez, J. and Górriz, J.M.}, title={Classification Improvement for Parkinson’s Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images}, journal={Advances in Intelligent Systems and Computing}, year={2019}, volume={771}, pages={100-109}, doi={10.1007/978-3-319-94120-2_10}, note={cited By 2}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048628061&doi=10.1007%2f978-3-319-94120-2_10&partnerID=40&md5=091bbecc1bfd587e6d5715366d23f5ac}, document_type={Conference Paper}, source={Scopus}, } -
A. Ortiz, J. Ramírez, R. Cruz-Arándiga, M. J. García-Tarifa, F. J. Martínez-Murcia, and J. M. Górriz, “Retinal blood vessel segmentation by multi-channel deep convolutional autoencoder,” Advances in intelligent systems and computing, vol. 771, pp. 37-46, 2019. doi:10.1007/978-3-319-94120-2_4
[BibTeX] [Download PDF]@ARTICLE{Ortiz201937, author={Ortiz, A. and Ramírez, J. and Cruz-Arándiga, R. and García-Tarifa, M.J. and Martínez-Murcia, F.J. and Górriz, J.M.}, title={Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder}, journal={Advances in Intelligent Systems and Computing}, year={2019}, volume={771}, pages={37-46}, doi={10.1007/978-3-319-94120-2_4}, note={cited By 6}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048615529&doi=10.1007%2f978-3-319-94120-2_4&partnerID=40&md5=1a4135f8b885ab2a9ed28997abfccb98}, document_type={Conference Paper}, source={Scopus}, }
2018
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F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, and A. Ortiz, “Convolutional neural networks for neuroimaging in parkinson’s disease: is preprocessing needed?,” International journal of neural systems, vol. 28, iss. 10, 2018. doi:10.1142/S0129065718500351
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2018, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Ortiz, A.}, title={Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?}, journal={International Journal of Neural Systems}, year={2018}, volume={28}, number={10}, doi={10.1142/S0129065718500351}, art_number={1850035}, note={cited By 62}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053563811&doi=10.1142%2fS0129065718500351&partnerID=40&md5=6b0ed8e4e06279ccb8450b19d8a7a687}, document_type={Article}, source={Scopus}, } -
F. Segovia, J. M. Gorriz, J. Ramirez, D. Castillo-Barnes, F. J. Martinez-Murcia, D. Salas-Gonzalez, R. Sanchez-Vano, P. Sopena-Novales, and M. Gomez-Rio, “Improved separation of alzheimer’s disease and related disorders using dual-point amyloid-pet.” 2018. doi:10.1109/NSSMIC.2018.8824703
[BibTeX] [Download PDF]@CONFERENCE{Segovia2018, author={Segovia, F. and Gorriz, J.M. and Ramirez, J. and Castillo-Barnes, D. and Martinez-Murcia, F.J. and Salas-Gonzalez, D. and Sanchez-Vano, R. and Sopena-Novales, P. and Gomez-Rio, M.}, title={Improved separation of Alzheimer's disease and related disorders using dual-point amyloid-PET}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824703}, art_number={8824703}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073118893&doi=10.1109%2fNSSMIC.2018.8824703&partnerID=40&md5=249e42ffea60452a27c58e61f4283f52}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, D. Salas-Gonzalez, J. Ramirez, F. J. Martinez-Murcia, F. Segovia, and J. M. Gorriz, “Analysis of i[123]-ioflupane spect intensity iso-surfaces to assist the diagnosis of parkinsonism.” 2018. doi:10.1109/NSSMIC.2018.8824707
[BibTeX] [Download PDF]@CONFERENCE{Castillo-Barnes2018, author={Castillo-Barnes, D. and Salas-Gonzalez, D. and Ramirez, J. and Martinez-Murcia, F.J. and Segovia, F. and Gorriz, J.M.}, title={Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824707}, art_number={8824707}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073115297&doi=10.1109%2fNSSMIC.2018.8824707&partnerID=40&md5=b9aff467164b456800a7fc3572ef7e8c}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, J. Ramírez, F. J. Martínez-Murcia, F. Segovia, D. Salas-Gonzalez, and J. M. Górriz, “Ensemble classification of heterogeneous biomarkers in the diagnosis of parkinsonism.” 2018. doi:10.1109/NSSMIC.2018.8824408
[BibTeX] [Download PDF]@CONFERENCE{Castillo-Barnes2018, author={Castillo-Barnes, D. and Ramírez, J. and Martínez-Murcia, F.J. and Segovia, F. and Salas-Gonzalez, D. and Górriz, J.M.}, title={Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824408}, art_number={8824408}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073112638&doi=10.1109%2fNSSMIC.2018.8824408&partnerID=40&md5=a901b137327c5c0cc9751cbf54cdefde}, document_type={Conference Paper}, source={Scopus}, } -
M. Molina-Molina, D. Castillo-Barnes, F. J. Martinez-Murcia, F. Segovia, J. M. Gorriz, J. Ramirez, and D. Salas-Gonzalez, “Fp-cit spect brain imaging for parkinson’s diagnosis using contour lines.” 2018. doi:10.1109/NSSMIC.2018.8824575
[BibTeX] [Download PDF]@CONFERENCE{Molina-Molina2018, author={Molina-Molina, M. and Castillo-Barnes, D. and Martinez-Murcia, F.J. and Segovia, F. and Gorriz, J.M. and Ramirez, J. and Salas-Gonzalez, D.}, title={FP-CIT SPECT brain imaging for Parkinson's diagnosis using contour lines}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824575}, art_number={8824575}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073106809&doi=10.1109%2fNSSMIC.2018.8824575&partnerID=40&md5=b607e71c80c5062e619fc5d345f58276}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, D. Castillo-Barnes, F. Segovia, D. Salas-González, and A. Ortiz, “A deep decomposition of mri to explore neurodegeneration in alzheimer’s disease.” 2018. doi:10.1109/NSSMIC.2018.8824320
[BibTeX] [Download PDF]@CONFERENCE{Martínez-Murcia2018, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Castillo-Barnes, D. and Segovia, F. and Salas-González, D. and Ortiz, A.}, title={A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824320}, art_number={8824320}, note={cited By 5}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073103339&doi=10.1109%2fNSSMIC.2018.8824320&partnerID=40&md5=ca22ada18e63ecc20d14c7a480a7a513}, document_type={Conference Paper}, source={Scopus}, } -
J. M. Gorriz, J. A. Gomez, J. Ramirez, F. J. Martinez-Murcia, D. Castillo-Barnes, D. Salas-Gonzalez, and F. Segovia, “Segmentation of molecular neuroimages using hidden markov random fields in order to improve the assisted diagnosis of neurodegenerative diseases.” 2018. doi:10.1109/NSSMIC.2018.8824521
[BibTeX] [Download PDF]@CONFERENCE{Gorriz2018, author={Gorriz, J.M. and Gomez, J.A. and Ramirez, J. and Martinez-Murcia, F.J. and Castillo-Barnes, D. and Salas-Gonzalez, D. and Segovia, F.}, title={Segmentation of Molecular Neuroimages Using Hidden Markov Random Fields in Order to Improve the Assisted Diagnosis of Neurodegenerative Diseases}, journal={2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings}, year={2018}, doi={10.1109/NSSMIC.2018.8824521}, art_number={8824521}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073097344&doi=10.1109%2fNSSMIC.2018.8824521&partnerID=40&md5=fcc5103165dc97a2634aae91778f81d6}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, J. Ramírez, F. Segovia, F. J. Martínez-Murcia, D. Salas-Gonzalez, and J. M. Górriz, “Robust ensemble classification methodology for i123-ioflupane spect images and multiple heterogeneous biomarkers in the diagnosis of parkinson’s disease,” Frontiers in neuroinformatics, vol. 12, 2018. doi:10.3389/fninf.2018.00053
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2018, author={Castillo-Barnes, D. and Ramírez, J. and Segovia, F. and Martínez-Murcia, F.J. and Salas-Gonzalez, D. and Górriz, J.M.}, title={Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease}, journal={Frontiers in Neuroinformatics}, year={2018}, volume={12}, doi={10.3389/fninf.2018.00053}, art_number={53}, note={cited By 38}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054834972&doi=10.3389%2ffninf.2018.00053&partnerID=40&md5=fb31cdb6546bcc5de71e1fac37237f92}, document_type={Article}, source={Scopus}, } -
F. Segovia, J. M. Gorriz, J. Ramirez, F. J. Martinez-Murcia, D. Castillo-Barnes, R. Sanchez-Vano, P. Sopena-Novales, and M. Gomez-Rio, “Using early acquisitions of amyloid-pet as a surrogate of fdg-pet: a machine learning based approach.” 2018. doi:10.1109/PRNI.2018.8423959
[BibTeX] [Download PDF]@CONFERENCE{Segovia2018, author={Segovia, F. and Gorriz, J.M. and Ramirez, J. and Martinez-Murcia, F.J. and Castillo-Barnes, D. and Sanchez-Vano, R. and Sopena-Novales, P. and Gomez-Rio, M.}, title={Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach}, journal={2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018}, year={2018}, doi={10.1109/PRNI.2018.8423959}, art_number={8423959}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051465781&doi=10.1109%2fPRNI.2018.8423959&partnerID=40&md5=571ccb8e64e476766b9f5d1c806dcbc9}, document_type={Conference Paper}, source={Scopus}, } -
J. Ramírez, J. M. Górriz, A. Ortiz, F. J. Martínez-Murcia, F. Segovia, D. Salas-Gonzalez, D. Castillo-Barnes, I. A. Illán, and C. G. Puntonet, “Ensemble of random forests one vs. rest classifiers for mci and ad prediction using anova cortical and subcortical feature selection and partial least squares,” Journal of neuroscience methods, vol. 302, pp. 47-57, 2018. doi:10.1016/j.jneumeth.2017.12.005
[BibTeX] [Download PDF]@ARTICLE{Ramírez201847, author={Ramírez, J. and Górriz, J.M. and Ortiz, A. and Martínez-Murcia, F.J. and Segovia, F. and Salas-Gonzalez, D. and Castillo-Barnes, D. and Illán, I.A. and Puntonet, C.G.}, title={Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares}, journal={Journal of Neuroscience Methods}, year={2018}, volume={302}, pages={47-57}, doi={10.1016/j.jneumeth.2017.12.005}, note={cited By 53}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039074683&doi=10.1016%2fj.jneumeth.2017.12.005&partnerID=40&md5=2c5b57ac2e568b705376dab9fda9e430}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, F. Segovia, D. Salas-Gonzalez, D. Castillo-Barnes, and A. Ortiz, “Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging,” Journal of alzheimer’s disease, vol. 65, iss. 3, pp. 713-729, 2018. doi:10.3233/JAD-170403
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2018713, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Segovia, F. and Salas-Gonzalez, D. and Castillo-Barnes, D. and Ortiz, A.}, title={Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging}, journal={Journal of Alzheimer's Disease}, year={2018}, volume={65}, number={3}, pages={713-729}, doi={10.3233/JAD-170403}, note={cited By 9}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053720480&doi=10.3233%2fJAD-170403&partnerID=40&md5=cfa9198f0a57b4d59bbea8d28a5da877}, document_type={Article}, source={Scopus}, } -
A. Ortiz, F. Lozano, J. M. Górriz, J. Ramírez, and F. J. Martínez Murcia, “Discriminative sparse features for alzheimer’s disease diagnosis using multimodal image data,” Current alzheimer research, vol. 15, iss. 1, pp. 67-79, 2018. doi:10.2174/1567205014666170922101135
[BibTeX] [Download PDF]@ARTICLE{Ortiz201867, author={Ortiz, A. and Lozano, F. and Górriz, J.M. and Ramírez, J. and Martínez Murcia, F.J.}, title={Discriminative sparse features for alzheimer’s disease diagnosis using multimodal image data}, journal={Current Alzheimer Research}, year={2018}, volume={15}, number={1}, pages={67-79}, doi={10.2174/1567205014666170922101135}, note={cited By 17}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042381164&doi=10.2174%2f1567205014666170922101135&partnerID=40&md5=839167003ac67b02df5a7e9f2eef7f45}, document_type={Review}, source={Scopus}, }
2017
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J. M. Gorriz, J. Ramirez, J. Suckling, F. J. Martinez-Murcia, I. A. Illán, F. Segovia, A. Ortiz, D. Salas-González, D. Castillo-Barnés, and C. G. Puntonet, “A semi-supervised learning approach for model selection based on class-hypothesis testing,” Expert systems with applications, vol. 90, pp. 40-49, 2017. doi:10.1016/j.eswa.2017.08.006
[BibTeX] [Download PDF]@ARTICLE{Gorriz201740, author={Gorriz, J.M. and Ramirez, J. and Suckling, J. and Martinez-Murcia, F.J. and Illán, I.A. and Segovia, F. and Ortiz, A. and Salas-González, D. and Castillo-Barnés, D. and Puntonet, C.G.}, title={A semi-supervised learning approach for model selection based on class-hypothesis testing}, journal={Expert Systems with Applications}, year={2017}, volume={90}, pages={40-49}, doi={10.1016/j.eswa.2017.08.006}, note={cited By 12}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026919588&doi=10.1016%2fj.eswa.2017.08.006&partnerID=40&md5=971a94d45ba5f1d7e3d243fa6a0063d0}, document_type={Article}, source={Scopus}, } -
D. Castillo-Barnes, I. Peis, F. J. Martínez-Murcia, F. Segovia, I. A. Illán, J. M. Górriz, J. Ramírez, and D. Salas-Gonzalez, “A heavy tailed expectation maximization hidden markov random field model with applications to segmentation of mri,” Frontiers in neuroinformatics, vol. 11, 2017. doi:10.3389/fninf.2017.00066
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2017, author={Castillo-Barnes, D. and Peis, I. and Martínez-Murcia, F.J. and Segovia, F. and Illán, I.A. and Górriz, J.M. and Ramírez, J. and Salas-Gonzalez, D.}, title={A heavy tailed expectation maximization hidden markov random field model with applications to segmentation of MRI}, journal={Frontiers in Neuroinformatics}, year={2017}, volume={11}, doi={10.3389/fninf.2017.00066}, art_number={66}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036450641&doi=10.3389%2ffninf.2017.00066&partnerID=40&md5=55a0cfcfd118b5ad3dbee5e4b1c7bfcb}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, I. A. Illán, F. Segovia, D. Castillo-Barnes, and D. Salas-Gonzalez, “Functional brain imaging synthesis based on image decomposition and kernel modeling: application to neurodegenerative diseases,” Frontiers in neuroinformatics, vol. 11, 2017. doi:10.3389/fninf.2017.00065
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2017, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Illán, I.A. and Segovia, F. and Castillo-Barnes, D. and Salas-Gonzalez, D.}, title={Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases}, journal={Frontiers in Neuroinformatics}, year={2017}, volume={11}, doi={10.3389/fninf.2017.00065}, art_number={65}, note={cited By 14}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036518066&doi=10.3389%2ffninf.2017.00065&partnerID=40&md5=9e54ab95a08fe2a754ab19bc4d082c95}, document_type={Article}, source={Scopus}, } -
U. Vidal-Sanz, F. J. Martinez-Murcia, J. M. Gorriz, J. Ramirez, I. A. Illan, F. Segovia, and D. Salas-Gonzalez, “Simulating functional brain images in alzheimer’s disease.” 2017. doi:10.1109/NSSMIC.2016.8069420
[BibTeX] [Download PDF]@CONFERENCE{Vidal-Sanz2017, author={Vidal-Sanz, U. and Martinez-Murcia, F.J. and Gorriz, J.M. and Ramirez, J. and Illan, I.A. and Segovia, F. and Salas-Gonzalez, D.}, title={Simulating functional brain images in Alzheimer's disease}, journal={2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016}, year={2017}, volume={2017-January}, doi={10.1109/NSSMIC.2016.8069420}, art_number={8069420}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041706204&doi=10.1109%2fNSSMIC.2016.8069420&partnerID=40&md5=7e8949186ca30e0fd9fd2fa3f02e9a25}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, I. A. Illán, D. Salas-Gonzalez, F. J. Martínez-Murcia, A. Ortiz, J. M. Górriz, and J. Ramírez, “Petra: a web-based system supporting computer aided diagnosis of alzheimer’s disease.” 2017. doi:10.1109/NSSMIC.2016.8069433
[BibTeX] [Download PDF]@CONFERENCE{Segovia2017, author={Segovia, F. and Illán, I.A. and Salas-Gonzalez, D. and Martínez-Murcia, F.J. and Ortiz, A. and Górriz, J.M. and Ramírez, J.}, title={PETRA: A web-based system supporting computer aided diagnosis of Alzheimer's disease}, journal={2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016}, year={2017}, volume={2017-January}, doi={10.1109/NSSMIC.2016.8069433}, art_number={8069433}, note={cited By 1}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041699179&doi=10.1109%2fNSSMIC.2016.8069433&partnerID=40&md5=44dc10c6b8789e0ab5354997cc245210}, document_type={Conference Paper}, source={Scopus}, } -
A. Dominguez, J. Ramirez, J. M. Górriz, F. Segovia, D. Salas-Gonzalez, F. J. Martinez-Murcia, and I. A. Illán, “Statistical feature selection and classification models for alzheimer’s disease progression assessment.” 2017. doi:10.1109/NSSMIC.2016.8069560
[BibTeX] [Download PDF]@CONFERENCE{Dominguez2017, author={Dominguez, A. and Ramirez, J. and Górriz, J.M. and Segovia, F. and Salas-Gonzalez, D. and Martinez-Murcia, F.J. and Illán, I.A.}, title={Statistical feature selection and classification models for Alzheimer's disease progression assessment}, journal={2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016}, year={2017}, volume={2017-January}, doi={10.1109/NSSMIC.2016.8069560}, art_number={8069560}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041538186&doi=10.1109%2fNSSMIC.2016.8069560&partnerID=40&md5=6c66d81f124f5b75b9dbe5ed413fba4f}, document_type={Conference Paper}, source={Scopus}, } -
I. Peis, I. A. Illan, F. J. Martinez-Murcia, F. Segovia, J. M. Gorriz, J. Ramirez, E. W. Lang, and D. Salas-Gonzalez, “Mri brain segmentation using hidden markov random fields with alpha-stable distributions.” 2017. doi:10.1109/NSSMIC.2016.8069422
[BibTeX] [Download PDF]@CONFERENCE{Peis2017, author={Peis, I. and Illan, I.A. and Martinez-Murcia, F.J. and Segovia, F. and Gorriz, J.M. and Ramirez, J. and Lang, E.W. and Salas-Gonzalez, D.}, title={MRI brain segmentation using hidden Markov random fields with alpha-stable distributions}, journal={2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016}, year={2017}, volume={2017-January}, doi={10.1109/NSSMIC.2016.8069422}, art_number={8069422}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041040427&doi=10.1109%2fNSSMIC.2016.8069422&partnerID=40&md5=9de2d9bd5cf1c11a3bc6dfb2b50255e9}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, J. M. Górriz, J. Ramírez, F. J. Martínez-Murcia, and D. Salas-Gonzalez, “Preprocessing of 18f-dmfp-pet data based on hidden markov random fields and the gaussian distribution,” Frontiers in aging neuroscience, vol. 9, iss. OCT, 2017. doi:10.3389/fnagi.2017.00326
[BibTeX] [Download PDF]@ARTICLE{Segovia2017, author={Segovia, F. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J. and Salas-Gonzalez, D.}, title={Preprocessing of 18F-DMFP-PET data based on Hidden Markov random fields and the Gaussian distribution}, journal={Frontiers in Aging Neuroscience}, year={2017}, volume={9}, number={OCT}, doi={10.3389/fnagi.2017.00326}, art_number={326}, note={cited By 7}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031122118&doi=10.3389%2ffnagi.2017.00326&partnerID=40&md5=fb56a95ef9052f5b6ebbac70100813cc}, document_type={Article}, source={Scopus}, } -
F. Segovia, J. M. Górriz, J. Ramírez, F. J. Martínez-Murcia, J. Levin, M. Schuberth, M. Brendel, A. Rominger, K. Bötzel, G. Garraux, and C. Phillips, “Multivariate analysis of 18f-dmfp pet data to assist the diagnosis of parkinsonism,” Frontiers in neuroinformatics, vol. 11, 2017. doi:10.3389/fninf.2017.00023
[BibTeX] [Download PDF]@ARTICLE{Segovia2017, author={Segovia, F. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J. and Levin, J. and Schuberth, M. and Brendel, M. and Rominger, A. and Bötzel, K. and Garraux, G. and Phillips, C.}, title={Multivariate analysis of 18F-DMFP PET data to assist the diagnosis of parkinsonism}, journal={Frontiers in Neuroinformatics}, year={2017}, volume={11}, doi={10.3389/fninf.2017.00023}, art_number={23}, note={cited By 26}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021365180&doi=10.3389%2ffninf.2017.00023&partnerID=40&md5=34e2c5647e5a59985061592fb1359800}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, M. -C. Lai, J. M. Górriz, J. Ramírez, A. M. H. Young, S. C. L. Deoni, C. Ecker, M. V. Lombardo, S. Baron-Cohen, D. G. M. Murphy, E. T. Bullmore, J. Suckling, A. J. Bailey, P. F. Bolton, S. Carrington, M. Catani, B. Chakrabarti, M. C. Craig, E. M. Daly, F. Happé, J. Henty, P. Jezzard, P. Johnston, D. K. Jones, A. Madden, D. Mullins, C. M. Murphy, G. Pasco, A. N. V. Ruigrok, S. A. Sadek, D. Spain, R. Stewart, S. J. Wheelwright, and S. C. Williams, “On the brain structure heterogeneity of autism: parsing out acquisition site effects with significance-weighted principal component analysis,” Human brain mapping, vol. 38, iss. 3, pp. 1208-1223, 2017. doi:10.1002/hbm.23449
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia20171208, author={Martinez-Murcia, F.J. and Lai, M.-C. and Górriz, J.M. and Ramírez, J. and Young, A.M.H. and Deoni, S.C.L. and Ecker, C. and Lombardo, M.V. and Baron-Cohen, S. and Murphy, D.G.M. and Bullmore, E.T. and Suckling, J. and Bailey, A.J. and Bolton, P.F. and Carrington, S. and Catani, M. and Chakrabarti, B. and Craig, M.C. and Daly, E.M. and Happé, F. and Henty, J. and Jezzard, P. and Johnston, P. and Jones, D.K. and Madden, A. and Mullins, D. and Murphy, C.M. and Pasco, G. and Ruigrok, A.N.V. and Sadek, S.A. and Spain, D. and Stewart, R. and Wheelwright, S.J. and Williams, S.C.}, title={On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis}, journal={Human Brain Mapping}, year={2017}, volume={38}, number={3}, pages={1208-1223}, doi={10.1002/hbm.23449}, note={cited By 32}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996508212&doi=10.1002%2fhbm.23449&partnerID=40&md5=ed7e61534bcfb681d94257a9e90309ce}, document_type={Article}, source={Scopus}, } -
J. Ramirez, J. M. Gorriz, F. J. Martinez-Murcia, F. Segovia, and D. Salas-Gonzalez, “Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques.” 2017. doi:10.1109/MMSP.2016.7813393
[BibTeX] [Download PDF]@CONFERENCE{Ramirez2017, author={Ramirez, J. and Gorriz, J.M. and Martinez-Murcia, F.J. and Segovia, F. and Salas-Gonzalez, D.}, title={Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques}, journal={2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016}, year={2017}, doi={10.1109/MMSP.2016.7813393}, art_number={7813393}, note={cited By 2}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013188089&doi=10.1109%2fMMSP.2016.7813393&partnerID=40&md5=44826947d2f8f1cbe02576aa15800cef}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, J. M. Górriz, J. Ramírez, F. J. Martínez-Murcia, D. Castillo-Barnes, I. A. Illán, A. Ortiz, and D. Salas-Gonzalez, “Automatic separation of parkinsonian patients and control subjects based on the striatal morphology,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 10337 LNCS, pp. 345-352, 2017. doi:10.1007/978-3-319-59740-9_34
[BibTeX] [Download PDF]@ARTICLE{Segovia2017345, author={Segovia, F. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J. and Castillo-Barnes, D. and Illán, I.A. and Ortiz, A. and Salas-Gonzalez, D.}, title={Automatic separation of parkinsonian patients and control subjects based on the striatal morphology}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2017}, volume={10337 LNCS}, pages={345-352}, doi={10.1007/978-3-319-59740-9_34}, note={cited By 4}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027072037&doi=10.1007%2f978-3-319-59740-9_34&partnerID=40&md5=499ff1fb3ca79dd18bb79516e9a2e6bc}, document_type={Conference Paper}, source={Scopus}, } -
D. Castillo-Barnes, C. Arenas, F. Segovia, F. J. Martínez-Murcia, I. A. Illán, J. M. Górriz, J. Ramírez, and D. Salas-Gonzalez, “On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 10337 LNCS, pp. 298-304, 2017. doi:10.1007/978-3-319-59740-9_29
[BibTeX] [Download PDF]@ARTICLE{Castillo-Barnes2017298, author={Castillo-Barnes, D. and Arenas, C. and Segovia, F. and Martínez-Murcia, F.J. and Illán, I.A. and Górriz, J.M. and Ramírez, J. and Salas-Gonzalez, D.}, title={On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2017}, volume={10337 LNCS}, pages={298-304}, doi={10.1007/978-3-319-59740-9_29}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027014128&doi=10.1007%2f978-3-319-59740-9_29&partnerID=40&md5=5611ed56fde8cf3fedf46f958e08b471}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. M. Górriz, J. Ramírez, F. Segovia, D. Salas-Gonzalez, D. Castillo-Barnes, and I. A. Illán, “A 3d convolutional neural network approach for the diagnosis of parkinson’s disease,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 10337 LNCS, pp. 324-333, 2017. doi:10.1007/978-3-319-59740-9_32
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2017324, author={Martinez-Murcia, F.J. and Ortiz, A. and Górriz, J.M. and Ramírez, J. and Segovia, F. and Salas-Gonzalez, D. and Castillo-Barnes, D. and Illán, I.A.}, title={A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2017}, volume={10337 LNCS}, pages={324-333}, doi={10.1007/978-3-319-59740-9_32}, note={cited By 35}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027010206&doi=10.1007%2f978-3-319-59740-9_32&partnerID=40&md5=95893432f2ce41d0c7e06c8c50252577}, document_type={Conference Paper}, source={Scopus}, } -
J. M. Górriz, J. Ramírez, F. J. Martinez-Murcia, I. A. Illán, F. Segovia, D. Salas-González, and A. Ortiz, “Case-based statistical learning: a non parametric implementation applied to spect images,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 10337 LNCS, pp. 305-313, 2017. doi:10.1007/978-3-319-59740-9_30
[BibTeX] [Download PDF]@ARTICLE{Górriz2017305, author={Górriz, J.M. and Ramírez, J. and Martinez-Murcia, F.J. and Illán, I.A. and Segovia, F. and Salas-González, D. and Ortiz, A.}, title={Case-based statistical learning: A non parametric implementation applied to SPECT images}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2017}, volume={10337 LNCS}, pages={305-313}, doi={10.1007/978-3-319-59740-9_30}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026997548&doi=10.1007%2f978-3-319-59740-9_30&partnerID=40&md5=313a579e6a76a825a9c5bfdf51bcf6cf}, document_type={Conference Paper}, source={Scopus}, } -
J. M. Gorriz, J. Ramirez, J. Suckling, I. A. Illan, A. Ortiz, F. J. Martinez-Murcia, F. Segovia, D. Salas-Gonzalez, and S. Wang, “Case-based statistical learning: a non-parametric implementation with a conditional-error rate svm,” Ieee access, vol. 5, pp. 11468-11478, 2017. doi:10.1109/ACCESS.2017.2714579
[BibTeX] [Download PDF]@ARTICLE{Gorriz201711468, author={Gorriz, J.M. and Ramirez, J. and Suckling, J. and Illan, I.A. and Ortiz, A. and Martinez-Murcia, F.J. and Segovia, F. and Salas-Gonzalez, D. and Wang, S.}, title={Case-Based Statistical Learning: A Non-Parametric Implementation with a Conditional-Error Rate SVM}, journal={IEEE Access}, year={2017}, volume={5}, pages={11468-11478}, doi={10.1109/ACCESS.2017.2714579}, art_number={7945239}, note={cited By 28}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026915858&doi=10.1109%2fACCESS.2017.2714579&partnerID=40&md5=547f54abb62315bec2fe907e0bac69c3}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, F. Segovia, D. Salas-Gonzalez, D. Castillo-Barnes, I. A. Illán, and A. Ortiz, “Evaluating alzheimer’s disease diagnosis using texture analysis,” Communications in computer and information science, vol. 723, pp. 470-481, 2017. doi:10.1007/978-3-319-60964-5_41
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2017470, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Segovia, F. and Salas-Gonzalez, D. and Castillo-Barnes, D. and Illán, I.A. and Ortiz, A.}, title={Evaluating Alzheimer’s disease diagnosis using texture analysis}, journal={Communications in Computer and Information Science}, year={2017}, volume={723}, pages={470-481}, doi={10.1007/978-3-319-60964-5_41}, note={cited By 6}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022215521&doi=10.1007%2f978-3-319-60964-5_41&partnerID=40&md5=0ef0edd8b229b39b259ae848c19a43e9}, document_type={Conference Paper}, source={Scopus}, } -
J. M. Górriz, J. Ramírez, M. Moreno-Caballero, F. J. Martinez-Murcia, A. Ortiz, I. A. Illán, F. Segovia, D. Salas-González, and M. Gomez-Rio, “Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes,” Communications in computer and information science, vol. 723, pp. 459-469, 2017. doi:10.1007/978-3-319-60964-5_40
[BibTeX] [Download PDF]@ARTICLE{Górriz2017459, author={Górriz, J.M. and Ramírez, J. and Moreno-Caballero, M. and Martinez-Murcia, F.J. and Ortiz, A. and Illán, I.A. and Segovia, F. and Salas-González, D. and Gomez-Rio, M.}, title={Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes}, journal={Communications in Computer and Information Science}, year={2017}, volume={723}, pages={459-469}, doi={10.1007/978-3-319-60964-5_40}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022203078&doi=10.1007%2f978-3-319-60964-5_40&partnerID=40&md5=f6d218544dcd6dc3b005cd7a0140eb59}, document_type={Conference Paper}, source={Scopus}, } -
A. Ortiz, J. Munilla, F. J. Martínez-Murcia, J. M. Górriz, and J. Ramírez, “Learning longitudinal mri patterns by sice and deep learning: assessing the alzheimer’s disease progression,” Communications in computer and information science, vol. 723, pp. 413-424, 2017. doi:10.1007/978-3-319-60964-5_36
[BibTeX] [Download PDF]@ARTICLE{Ortiz2017413, author={Ortiz, A. and Munilla, J. and Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J.}, title={Learning longitudinal MRI patterns by SICE and deep learning: Assessing the Alzheimer’s disease progression}, journal={Communications in Computer and Information Science}, year={2017}, volume={723}, pages={413-424}, doi={10.1007/978-3-319-60964-5_36}, note={cited By 20}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022185124&doi=10.1007%2f978-3-319-60964-5_36&partnerID=40&md5=e3a4ce749f76933a5dad21dd546ced31}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, D. Salas-Gonzalez, J. M. Górriz, J. Ramírez, and F. J. Martínez-Murcia, “Analysis of 18f-dmfp-pet data using hidden markov random field and the gaussian distribution to assist the diagnosis of parkinsonism.” 2017. doi:10.1117/12.2250281
[BibTeX] [Download PDF]@CONFERENCE{Segovia2017, author={Segovia, F. and Salas-Gonzalez, D. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J.}, title={Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism}, journal={Progress in Biomedical Optics and Imaging - Proceedings of SPIE}, year={2017}, volume={10134}, doi={10.1117/12.2250281}, art_number={101342B}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020284116&doi=10.1117%2f12.2250281&partnerID=40&md5=8512bd9778c3992d97069eb9292737d0}, document_type={Conference Paper}, source={Scopus}, } -
J. M. Górriz, J. Ramírez, I. A. Illán, F. J. Martínez-Murcia, F. Segovia, D. Salas-Gonzalez, and A. Ortiz, “Case-based statistical learning applied to spect image classification.” 2017. doi:10.1117/12.2253853
[BibTeX] [Download PDF]@CONFERENCE{Górriz2017, author={Górriz, J.M. and Ramírez, J. and Illán, I.A. and Martínez-Murcia, F.J. and Segovia, F. and Salas-Gonzalez, D. and Ortiz, A.}, title={Case-based statistical learning applied to SPECT image classification}, journal={Progress in Biomedical Optics and Imaging - Proceedings of SPIE}, year={2017}, volume={10134}, doi={10.1117/12.2253853}, art_number={101342D}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020245413&doi=10.1117%2f12.2253853&partnerID=40&md5=cc2cfbdb7fa07478400ba211b82ef7fd}, document_type={Conference Paper}, source={Scopus}, } -
F. Segovia, M. García-Pérez, J. M. Górriz, J. Ramírez, and F. J. Martínez-Murcia, “Assisting the diagnosis of neurodegenerative disorders using principal component analysis and tensorflow,” Advances in intelligent systems and computing, vol. 527, p. 43, 2017. doi:10.1007/978-3-319-47364-2_5
[BibTeX] [Download PDF]@ARTICLE{Segovia201743, author={Segovia, F. and García-Pérez, M. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J.}, title={Assisting the diagnosis of neurodegenerative disorders using principal component analysis and tensorflow}, journal={Advances in Intelligent Systems and Computing}, year={2017}, volume={527}, pages={43}, doi={10.1007/978-3-319-47364-2_5}, note={cited By 4}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992472521&doi=10.1007%2f978-3-319-47364-2_5&partnerID=40&md5=9a87a4534fa336ee259730fd6e885a57}, document_type={Conference Paper}, source={Scopus}, }
2016
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F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, and A. Ortiz, “A structural parametrization of the brain using hidden markov models-based paths in alzheimer’s disease,” International journal of neural systems, vol. 26, iss. 7, 2016. doi:10.1142/S0129065716500246
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2016, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Ortiz, A.}, title={A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease}, journal={International Journal of Neural Systems}, year={2016}, volume={26}, number={7}, doi={10.1142/S0129065716500246}, art_number={1650024}, note={cited By 25}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976528019&doi=10.1142%2fS0129065716500246&partnerID=40&md5=a2ce99f48429d724522426a61908cbc8}, document_type={Article}, source={Scopus}, } -
D. Salas-Gonzalez, F. Segovia, F. J. Martínez-Murcia, E. W. Lang, J. M. Górriz, and J. Ramírez, “An optimal approach for selecting discriminant regions for the diagnosis of alzheimer’s disease,” Current alzheimer research, vol. 13, iss. 7, pp. 838-844, 2016. doi:10.2174/1567205013666160415154852
[BibTeX] [Download PDF]@ARTICLE{Salas-Gonzalez2016838, author={Salas-Gonzalez, D. and Segovia, F. and Martínez-Murcia, F.J. and Lang, E.W. and Górriz, J.M. and Ramírez, J.}, title={An optimal approach for selecting discriminant regions for the diagnosis of alzheimer's disease}, journal={Current Alzheimer Research}, year={2016}, volume={13}, number={7}, pages={838-844}, doi={10.2174/1567205013666160415154852}, note={cited By 8}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964090183&doi=10.2174%2f1567205013666160415154852&partnerID=40&md5=a33f3ae88888975fddf954255307cc3e}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, and A. Ortiz, “A spherical brain mapping of mr images for the detection of alzheimer’s disease,” Current alzheimer research, vol. 13, iss. 5, pp. 575-588, 2016. doi:10.2174/1567205013666160314145158
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2016575, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Ortiz, A.}, title={A spherical brain mapping of MR images for the detection of Alzheimer’s disease}, journal={Current Alzheimer Research}, year={2016}, volume={13}, number={5}, pages={575-588}, doi={10.2174/1567205013666160314145158}, note={cited By 26}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964068157&doi=10.2174%2f1567205013666160314145158&partnerID=40&md5=96f0909db6c9e2183a459e73e2d6272d}, document_type={Article}, source={Scopus}, } -
A. Ortiz, F. J. Martínez-Murcia, M. J. García-Tarifa, F. Lozano, J. M. Górriz, and J. Ramírez, “Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features,” Smart innovation, systems and technologies, vol. 60, pp. 249-258, 2016. doi:10.1007/978-3-319-39687-3_24
[BibTeX] [Download PDF]@ARTICLE{Ortiz2016249, author={Ortiz, A. and Martínez-Murcia, F.J. and García-Tarifa, M.J. and Lozano, F. and Górriz, J.M. and Ramírez, J.}, title={Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features}, journal={Smart Innovation, Systems and Technologies}, year={2016}, volume={60}, pages={249-258}, doi={10.1007/978-3-319-39687-3_24}, note={cited By 16}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979088367&doi=10.1007%2f978-3-319-39687-3_24&partnerID=40&md5=fff4fd60917eaa280797667273cedb85}, document_type={Conference Paper}, source={Scopus}, } -
J. Ramírez, J. M. Górriz, A. Ortiz, P. Padilla, and F. J. Martínez-Murcia, “Ensemble tree learning techniques for magnetic resonance image analysis,” Smart innovation, systems and technologies, vol. 45, pp. 395-404, 2016. doi:10.1007/978-3-319-23024-5_36
[BibTeX] [Download PDF]@ARTICLE{Ramírez2016395, author={Ramírez, J. and Górriz, J.M. and Ortiz, A. and Padilla, P. and Martínez-Murcia, F.J.}, title={Ensemble tree learning techniques for magnetic resonance image analysis}, journal={Smart Innovation, Systems and Technologies}, year={2016}, volume={45}, pages={395-404}, doi={10.1007/978-3-319-23024-5_36}, note={cited By 5}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945931316&doi=10.1007%2f978-3-319-23024-5_36&partnerID=40&md5=c72ef3b5bfe199a3ea4a14047ff9974e}, document_type={Conference Paper}, source={Scopus}, }
2015
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D. Salas-Gonzalez, J. M. Górriz, J. Ramírez, I. A. Illán, P. Padilla, F. J. Martínez-Murcia, and E. W. Lang, “Building a fp-cit spect brain template using a posterization approach,” Neuroinformatics, vol. 13, iss. 4, pp. 391-402, 2015. doi:10.1007/s12021-015-9262-9
[BibTeX] [Download PDF]@ARTICLE{Salas-Gonzalez2015391, author={Salas-Gonzalez, D. and Górriz, J.M. and Ramírez, J. and Illán, I.A. and Padilla, P. and Martínez-Murcia, F.J. and Lang, E.W.}, title={Building a FP-CIT SPECT Brain Template Using a Posterization Approach}, journal={Neuroinformatics}, year={2015}, volume={13}, number={4}, pages={391-402}, doi={10.1007/s12021-015-9262-9}, note={cited By 27}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945446201&doi=10.1007%2fs12021-015-9262-9&partnerID=40&md5=5661b36a4dd5e2a866b51d7677313125}, document_type={Article}, source={Scopus}, } -
F. J. Martinez-Murcia, A. Ortiz, J. Manuel Górriz, J. Ramírez, and I. A. Illán, “A volumetric radial lbp projection of mri brain images for the diagnosis of alzheimer’s disease,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9107, pp. 19-28, 2015. doi:10.1007/978-3-319-18914-7_3
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia201519, author={Martinez-Murcia, F.J. and Ortiz, A. and Manuel Górriz, J. and Ramírez, J. and Illán, I.A.}, title={A volumetric radial lbp projection of mri brain images for the diagnosis of alzheimer’s disease}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2015}, volume={9107}, pages={19-28}, doi={10.1007/978-3-319-18914-7_3}, note={cited By 5}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937421446&doi=10.1007%2f978-3-319-18914-7_3&partnerID=40&md5=072bccb2952a35cd79247603c8ef758d}, document_type={Conference Paper}, source={Scopus}, }
2014
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A. Ortiz, J. M. Górriz, J. Ramírez, and F. J. Martinez-Murcia, “Automatic roi selection in structural brain mri using som 3d projection,” Plos one, vol. 9, iss. 4, 2014. doi:10.1371/journal.pone.0093851
[BibTeX] [Download PDF]@ARTICLE{Ortiz2014, author={Ortiz, A. and Górriz, J.M. and Ramírez, J. and Martinez-Murcia, F.J.}, title={Automatic ROI selection in structural brain MRI using SOM 3D projection}, journal={PLoS ONE}, year={2014}, volume={9}, number={4}, doi={10.1371/journal.pone.0093851}, art_number={e93851}, note={cited By 32}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899649749&doi=10.1371%2fjournal.pone.0093851&partnerID=40&md5=b3abc0aed542be8a8bbe988ce75f5afb}, document_type={Article}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, I. A. Illán, and A. Ortiz, “Automatic detection of parkinsonism using significance measures and component analysis in datscan imaging,” Neurocomputing, vol. 126, pp. 58-70, 2014. doi:10.1016/j.neucom.2013.01.054
[BibTeX] [Download PDF]@ARTICLE{Martínez-Murcia201458, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Illán, I.A. and Ortiz, A.}, title={Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging}, journal={Neurocomputing}, year={2014}, volume={126}, pages={58-70}, doi={10.1016/j.neucom.2013.01.054}, note={cited By 45}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887615816&doi=10.1016%2fj.neucom.2013.01.054&partnerID=40&md5=5a852d6f4eef0c6cefeef94092efc48c}, document_type={Article}, source={Scopus}, } -
A. Ortiz, D. Fajardo, J. M. Górriz, J. Ramírez, and F. J. Martínez-Murcia, “Multimodal image data fusion for alzheimer’s disease diagnosis by sparse representation,” Studies in health technology and informatics, vol. 207, pp. 11-18, 2014. doi:10.3233/978-1-61499-474-9-11
[BibTeX] [Download PDF]@ARTICLE{Ortiz201411, author={Ortiz, A. and Fajardo, D. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J.}, title={Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation}, journal={Studies in Health Technology and Informatics}, year={2014}, volume={207}, pages={11-18}, doi={10.3233/978-1-61499-474-9-11}, note={cited By 5}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918833224&doi=10.3233%2f978-1-61499-474-9-11&partnerID=40&md5=851e659e4485220f4a0e74e1c93b04d2}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, I. Álvarez Illán, D. Salas-González, and F. Segovia, “Projecting mri brain images for the detection of alzheimer’s disease,” Studies in health technology and informatics, vol. 207, pp. 225-233, 2014. doi:10.3233/978-1-61499-474-9-225
[BibTeX] [Download PDF]@ARTICLE{Martínez-Murcia2014225, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Álvarez Illán, I. and Salas-González, D. and Segovia, F.}, title={Projecting MRI brain images for the detection of Alzheimer's Disease}, journal={Studies in Health Technology and Informatics}, year={2014}, volume={207}, pages={225-233}, doi={10.3233/978-1-61499-474-9-225}, note={cited By 6}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918806150&doi=10.3233%2f978-1-61499-474-9-225&partnerID=40&md5=b56201058d7a6b7811eb137aa3ad5be0}, document_type={Conference Paper}, source={Scopus}, } -
D. Salas-Gonzalez, J. M. Górriz, J. Ramírez, I. A. Illán, P. Padilla, F. J. Martínez-Murcia, and E. W. Lang, “Affine registration of [123i]fp-cit spect brain images,” Studies in health technology and informatics, vol. 207, pp. 65-73, 2014. doi:10.3233/978-1-61499-474-9-65
[BibTeX] [Download PDF]@ARTICLE{Salas-Gonzalez201465, author={Salas-Gonzalez, D. and Górriz, J.M. and Ramírez, J. and A. Illán, I. and Padilla, P. and Martínez-Murcia, F.J. and Lang, E.W.}, title={Affine registration of [123I]FP-CIT SPECT brain images}, journal={Studies in Health Technology and Informatics}, year={2014}, volume={207}, pages={65-73}, doi={10.3233/978-1-61499-474-9-65}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918788128&doi=10.3233%2f978-1-61499-474-9-65&partnerID=40&md5=c28d318d1c3e328b1fa2d2cd528edf5f}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martinez-Murcia, J. M. Górriz, J. Ramírez, M. Moreno-Caballero, and M. Gómez-Río, “Parametrization of textural patterns in 123i-ioflupane imaging for the automatic detection of parkinsonism,” Medical physics, vol. 41, iss. 1, 2014. doi:10.1118/1.4845115
[BibTeX] [Download PDF]@ARTICLE{Martinez-Murcia2014, author={Martinez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Moreno-Caballero, M. and Gómez-Río, M.}, title={Parametrization of textural patterns in 123I-ioflupane imaging for the automatic detection of Parkinsonism}, journal={Medical Physics}, year={2014}, volume={41}, number={1}, doi={10.1118/1.4845115}, art_number={012502}, note={cited By 45}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892150936&doi=10.1118%2f1.4845115&partnerID=40&md5=2bdc2a442cde2c3f56e64f9cfba94f20}, document_type={Article}, source={Scopus}, }
2013
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I. A. Illán, J. M. Górriz, J. Ramirez, D. Salas-González, F. J. Martínez-Murcia, F. Segovia, and C. G. Puntonet, “Automatic orientation of functional brain images for multiplataform software,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 7930 LNCS, iss. PART 1, pp. 406-411, 2013. doi:10.1007/978-3-642-38637-4_42
[BibTeX] [Download PDF]@ARTICLE{Illán2013406, author={Illán, I.A. and Górriz, J.M. and Ramirez, J. and Salas-González, D. and Martínez-Murcia, F.J. and Segovia, F. and Puntonet, C.G.}, title={Automatic orientation of functional brain images for multiplataform software}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2013}, volume={7930 LNCS}, number={PART 1}, pages={406-411}, doi={10.1007/978-3-642-38637-4_42}, note={cited By 0}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885779918&doi=10.1007%2f978-3-642-38637-4_42&partnerID=40&md5=a12fb911bed8dfaf5f5b01387bce8eed}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, I. A. Illán, and C. G. Puntonet, “Texture features based detection of parkinson’s disease on datscan images,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 7931 LNCS, iss. PART 2, pp. 266-277, 2013. doi:10.1007/978-3-642-38622-0_28
[BibTeX] [Download PDF]@ARTICLE{Martínez-Murcia2013266, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Illán, I.A. and Puntonet, C.G.}, title={Texture features based detection of Parkinson's disease on DaTSCAN images}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2013}, volume={7931 LNCS}, number={PART 2}, pages={266-277}, doi={10.1007/978-3-642-38622-0_28}, note={cited By 11}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885716380&doi=10.1007%2f978-3-642-38622-0_28&partnerID=40&md5=8d8ba01713c379df45e9815f3c2bb8f5}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, C. G. Puntonet, and I. A. Illán, “Functional activity maps based on significance measures and independent component analysis,” Computer methods and programs in biomedicine, vol. 111, iss. 1, pp. 255-268, 2013. doi:10.1016/j.cmpb.2013.03.015
[BibTeX] [Download PDF]@ARTICLE{Martínez-Murcia2013255, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Puntonet, C.G. and Illán, I.A.}, title={Functional activity maps based on significance measures and Independent Component Analysis}, journal={Computer Methods and Programs in Biomedicine}, year={2013}, volume={111}, number={1}, pages={255-268}, doi={10.1016/j.cmpb.2013.03.015}, note={cited By 23}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878476409&doi=10.1016%2fj.cmpb.2013.03.015&partnerID=40&md5=57b599553b94a9c2600dd37ea6248bed}, document_type={Article}, source={Scopus}, } -
A. Rojas, J. M. Górriz, J. Ramírez, I. A. Illán, F. J. Martínez-Murcia, A. Ortiz, M. Gómez Río, and M. Moreno-Caballero, “Application of empirical mode decomposition (emd) on datscan spect images to explore parkinson disease,” Expert systems with applications, vol. 40, iss. 7, pp. 2756-2766, 2013. doi:10.1016/j.eswa.2012.11.017
[BibTeX] [Download PDF]@ARTICLE{Rojas20132756, author={Rojas, A. and Górriz, J.M. and Ramírez, J. and Illán, I.A. and Martínez-Murcia, F.J. and Ortiz, A. and Gómez Río, M. and Moreno-Caballero, M.}, title={Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease}, journal={Expert Systems with Applications}, year={2013}, volume={40}, number={7}, pages={2756-2766}, doi={10.1016/j.eswa.2012.11.017}, note={cited By 58}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873141246&doi=10.1016%2fj.eswa.2012.11.017&partnerID=40&md5=75f6a1b16b8e97ea4fbacbe1ac63bf72}, document_type={Article}, source={Scopus}, } -
A. Ortiz, J. M. Górriz, J. Ramírez, and F. J. Martínez-Murcia, “Lvq-svm based cad tool applied to structural mri for the diagnosis of the alzheimer’s disease,” Pattern recognition letters, vol. 34, iss. 14, pp. 1725-1733, 2013. doi:10.1016/j.patrec.2013.04.014
[BibTeX] [Download PDF]@ARTICLE{Ortiz20131725, author={Ortiz, A. and Górriz, J.M. and Ramírez, J. and Martínez-Murcia, F.J.}, title={LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease}, journal={Pattern Recognition Letters}, year={2013}, volume={34}, number={14}, pages={1725-1733}, doi={10.1016/j.patrec.2013.04.014}, note={cited By 82}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885602719&doi=10.1016%2fj.patrec.2013.04.014&partnerID=40&md5=ad81a91aec106501421d4be6e5d7cfd5}, document_type={Article}, source={Scopus}, }
2012
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D. Salas-Gonzalez, J. M. Górriz, J. Ramírez, F. J. Martínez, R. Chaves, F. Segovia, and I. A. Illan, “Intensity normalization of fp-cit spect in patients with parkinsonism using the α-stable distribution.” 2012, pp. 3944-3946. doi:10.1109/NSSMIC.2012.6551904
[BibTeX] [Download PDF]@CONFERENCE{Salas-Gonzalez20123944, author={Salas-Gonzalez, D. and Górriz, J.M. and Ramírez, J. and Martínez, F.J. and Chaves, R. and Segovia, F. and Illan, I.A.}, title={Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution}, journal={IEEE Nuclear Science Symposium Conference Record}, year={2012}, pages={3944-3946}, doi={10.1109/NSSMIC.2012.6551904}, art_number={6551904}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881606189&doi=10.1109%2fNSSMIC.2012.6551904&partnerID=40&md5=98625910b91f1001c2846c10591519ce}, document_type={Conference Paper}, source={Scopus}, } -
F. J. Martínez-Murcia, J. M. Górriz, J. Ramírez, C. G. Puntonet, and D. Salas-González, “Computer aided diagnosis tool for alzheimer’s disease based on mann-whitney-wilcoxon u-test,” Expert systems with applications, vol. 39, iss. 10, pp. 9676-9685, 2012. doi:10.1016/j.eswa.2012.02.153
[BibTeX] [Download PDF]@ARTICLE{Martínez-Murcia20129676, author={Martínez-Murcia, F.J. and Górriz, J.M. and Ramírez, J. and Puntonet, C.G. and Salas-González, D.}, title={Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test}, journal={Expert Systems with Applications}, year={2012}, volume={39}, number={10}, pages={9676-9685}, doi={10.1016/j.eswa.2012.02.153}, note={cited By 82}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859216745&doi=10.1016%2fj.eswa.2012.02.153&partnerID=40&md5=70a9dfddd4e810040dde05563ac508f0}, document_type={Article}, source={Scopus}, }
2011
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F. J. Martínez, D. Salas-González, J. M. Górriz, J. Ramírez, C. G. Puntonet, and M. Gómez-Río, “Analysis of spect brain images using wilcoxon and relative entropy criteria and quadratic multivariate classifiers for the diagnosis of alzheimer’s disease,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6687 LNCS, iss. PART 2, pp. 41-48, 2011. doi:10.1007/978-3-642-21326-7_5
[BibTeX] [Download PDF]@ARTICLE{Martínez201141, author={Martínez, F.J. and Salas-González, D. and Górriz, J.M. and Ramírez, J. and Puntonet, C.G. and Gómez-Río, M.}, title={Analysis of spect brain images using wilcoxon and relative entropy criteria and quadratic multivariate classifiers for the diagnosis of Alzheimer's disease}, journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, year={2011}, volume={6687 LNCS}, number={PART 2}, pages={41-48}, doi={10.1007/978-3-642-21326-7_5}, note={cited By 3}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79956327077&doi=10.1007%2f978-3-642-21326-7_5&partnerID=40&md5=e04c5519faa94b779592e9c417197094}, document_type={Conference Paper}, source={Scopus}, }