Juan Manuel Gorriz

Dikutip oleh

	Semua	Sejak 2020
Kutipan	16742	9929
indeks-h	68	49
indeks-i10	265	172

2600

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203 artikel

69 artikel

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Javier RamírezUniversity of Granada, SpainEmail yang diverifikasi di ugr.es
Diego Salas-GonzalezDpto. Teoría de la Señal, Telemática y Comunicaciones, Universidad de GranadaEmail yang diverifikasi di ugr.es
Ignacio Alvarez IllanUniversidad de GranadaEmail yang diverifikasi di ugr.es
Fermín SegoviaDepartment of Signal Theory, Networking and Communications, University of Granada, SPAINEmail yang diverifikasi di ugr.es
Francisco Jesus Martinez MurciaUGR - Institute on Data Science & Computational Intelligence. Dpt. of Signal Theory, Networking andEmail yang diverifikasi di ugr.es
Andrés OrtizFull Professor at University of Málaga. BioSiP LabEmail yang diverifikasi di ic.uma.es
Yudong ZhangUniversity of Leicester, HFWLA/FIET/FEAI/FBCS/SMIEEE/SMACM/DSACM, Clarivate Highly Cited ResearcherEmail yang diverifikasi di le.ac.uk
Diego Castillo-BarnesPosdoctoral researcher at University of Malaga (Spain)Email yang diverifikasi di ic.uma.es
Afshin ShoeibiAI Researcher, School of Computing, Macquarie University, AustraliaEmail yang diverifikasi di mq.edu.au
Shuihua WangXi'an Jiaotong-Liverpool UniversityEmail yang diverifikasi di xjtlu.edu.cn
Carmen Jiménez-MesaPostdoctoral researcher at University of GranadaEmail yang diverifikasi di ugr.es
John SucklingDepartment of Psychiatry, University of cambridgeEmail yang diverifikasi di cam.ac.uk
Ana Maria TomeUniversidade AveiroEmail yang diverifikasi di ua.pt
Christophe PhillipsFRS-FNRS Research Director, University of LiègeEmail yang diverifikasi di ulg.ac.be
Anke Meyer-BaeseProfessor of Scientific Computing, Florida State UniversityEmail yang diverifikasi di fsu.edu
Fabian J TheisHelmholtz Munich, Technical University of MunichEmail yang diverifikasi di helmholtz-muenchen.de
Johannes LevinProfessor for Clinical Neurodegeneration, Ludwig-Maximilians-Universität München; CMO MODAG GmbHEmail yang diverifikasi di med.uni-muenchen.de
Deniz ErdogmusProfessor of ECE, Northeastern UniversityEmail yang diverifikasi di ece.neu.edu
Ignacio J. Turias DominguezCatedrático de Universidad - Full ProfessorEmail yang diverifikasi di gm.uca.es
Sergio CrucesProfessor, Universidad de Sevilla (University of Seville)Email yang diverifikasi di us.es

Ikuti

Juan Manuel Gorriz

Full Professor at University of Granada

Email yang diverifikasi di ugr.es - Beranda

Biomedical signal processing Machine Learning Computer Aided Diagnosis Neuroimaging Neuroscience


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Ensembles of deep learning architectures for the early diagnosis of the Alzheimer’s disease A Ortiz, J Munilla, JM Gorriz, J Ramirez International journal of neural systems 26 (07), 1650025, 2016	450	2016
Voice activity detection. fundamentals and speech recognition system robustness J Ramirez, JM Górriz, JC Segura Robust speech recognition and understanding 6 (9), 1-22, 2007	421	2007
Advances in multimodal data fusion in neuroimaging: overview, challenges, and novel orientation YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, ... Information Fusion 64, 149-187, 2020	401	2020
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang Information Fusion 67, 208-229, 2021	362	2021
Improved breast cancer classification through combining graph convolutional network and convolutional neural network YD Zhang, SC Satapathy, DS Guttery, JM Górriz, SH Wang Information Processing & Management 58 (2), 102439, 2021	338	2021
Early diagnosis of Alzheimer׳ s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images L Khedher, J Ramírez, JM Górriz, A Brahim, F Segovia, ... Neurocomputing 151, 139-150, 2015	322	2015
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia, F Segovia, J Suckling, ... Neurocomputing 410, 237-270, 2020	307	2020
Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, ... Neurocomputing, 127317, 2024	284	2024
Deep learning in food category recognition Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou, S Lu, S Sun, Z Zhu, ... Information Fusion 98, 101859, 2023	281	2023
Brain connectivity analysis: a short survey EW Lang, AM Tomé, IR Keck, JM Górriz-Sáez, CG Puntonet Computational intelligence and neuroscience 2012 (1), 412512, 2012	248	2012
Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features J Ramírez, JM Górriz, D Salas-Gonzalez, A Romero, M López, I Álvarez, ... Information Sciences 237, 59-72, 2013	236	2013
NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer's disease P Padilla, M López, JM Górriz, J Ramirez, D Salas-Gonzalez, I Alvarez IEEE Transactions on medical imaging 31 (2), 207-216, 2011	236	2011
Studying the manifold structure of Alzheimer's disease: a deep learning approach using convolutional autoencoders FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes IEEE journal of biomedical and health informatics 24 (1), 17-26, 2019	229	2019
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, ... Neurocomputing 74 (8), 1260-1271, 2011	208	2011
Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ... Information Fusion 76, 376-421, 2021	206	2021
18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis IA Illán, JM Górriz, J Ramírez, D Salas-Gonzalez, MM López, F Segovia, ... Information Sciences 181 (4), 903-916, 2011	193	2011
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, ... Computers in Biology and Medicine 136, 104697, 2021	181	2021
SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting R Chaves, J Ramírez, JM Górriz, M López, D Salas-Gonzalez, I Alvarez, ... Neuroscience letters 461 (3), 293-297, 2009	176	2009
Multivariate approach for Alzheimer’s disease detection using stationary wavelet entropy and predator-prey particle swarm optimization Y Zhang, S Wang, Y Sui, M Yang, B Liu, H Cheng, J Sun, W Jia, P Phillips, ... Journal of Alzheimer's Disease 65 (3), 855-869, 2018	173	2018
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, ... Computers in Biology and Medicine 146, 105554, 2022	164	2022

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