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ORCIDJuan Manuel Górriz
Juan Manuel Górriz Sáez – J. M. Górriz
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- affiliation: University of Granada, Spain
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2020 – today
- 2023
[j131]Juan Eloy Arco, Andrés Ortiz
, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. Appl. Soft Comput. 134: 109991 (2023)- [j130]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of multi-scale deep architectures for image classification. Inf. Fusion 89: 53-65 (2023) - [j129]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz:
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Inf. Fusion 91: 598-611 (2023) - [j128]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz:
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93: 85-117 (2023) - [j127]Yu-Dong Zhang, Juan Manuel Górriz, Yi Pan, Oscar Cordón:
Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 2-4 (2023) - [j126]Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang:
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 5-14 (2023) - 2022
- [j125]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. 73: 103417 (2022) - [j124]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j123]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j122]David López-García, José M. G. Peñalver, Juan Manuel Górriz, María Ruz:
MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data. Comput. Methods Programs Biomed. 214: 106549 (2022) - [j121]Danial Katoozian, Hossein Hosseini-Nejad, Mohammad-Reza Abolghasemi Dehaqani, Afshin Shoeibi, Juan Manuel Górriz:
A hardware efficient intra-cortical neural decoding approach based on spike train temporal information. Integr. Comput. Aided Eng. 29(4): 431-445 (2022) - [j120]Siyuan Lu, Ziquan Zhu, Juan Manuel Górriz, Shui-Hua Wang, Yu-Dong Zhang:
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. Int. J. Intell. Syst. 37(2): 1572-1598 (2022) - [j119]Nazanin Ahmadi-Dastgerdi, Hossein Hosseini-Nejad, Hadi Amiri, Afshin Shoeibi, Juan Manuel Górriz:
A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems. Int. J. Neural Syst. 32(3): 2250001:1-2250001:16 (2022) - [j118]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz:
Tiled Sparse Coding in Eigenspaces for Image Classification. Int. J. Neural Syst. 32(3): 2250007:1-2250007:22 (2022) - [j117]Diego Castillo-Barnes, Carmen Jimenez-Mesa, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz:
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images. Int. J. Neural Syst. 32(5): 2250019:1-2250019:16 (2022) - [j116]Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510: 159-171 (2022) - [j115]Yudong Zhang, Juan Manuel Górriz, Shuihua Wang:
Modern Forms and New Challenges in Medical Sensors and Body Area Networks. J. Sens. Actuator Networks 11(4): 79 (2022) - [j114]J. M. Górriz, Carmen Jimenez-Mesa, Fermín Segovia, Javier Ramírez, John Suckling:
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model. IEEE J. Biomed. Health Informatics 26(11): 5332-5343 (2022) - [c161]Hengde Zhu, Jian Wang, Shui-Hua Wang, Yudong Zhang, Juan Manuel Górriz:
ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection. IWINAC (1) 2022: 3-12 - [c160]Diego Castillo-Barnes, J. Merino-Chica, R. Garcia-Diaz, Carmen Jimenez-Mesa, Juan Eloy Arco, Javier Ramírez, J. M. Górriz:
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. IWINAC (1) 2022: 23-33 - [c159]Carmen Jimenez-Mesa, Juan Eloy Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, Andrés Ortiz, M. Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, T. del Ser-Quijano, C. Carnero-Pardo, Juan Manuel Górriz:
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) 2022: 34-42 - [c158]Afshin Shoeibi, Mitra Rezaei, Navid Ghassemi, Zahra Namadchian, Assef Zare, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model. IWINAC (1) 2022: 63-73 - [c157]Behnam Gholami, Mohammad Hossein Behboudi, Ali Khadem, Afshin Shoeibi, Juan Manuel Górriz:
Sleep Apnea Diagnosis Using Complexity Features of EEG Signals. IWINAC (1) 2022: 74-83 - [c156]David López-García, J. M. González-Peñalver, J. M. Górriz, María Ruz:
Representational Similarity Analysis: A Preliminary Step to fMRI-EEG Data Fusion in MVPAlab. IWINAC (1) 2022: 84-94 - [c155]Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) 2022: 95-103 - [c154]Jose Antonio Simón-Rodríguez, Francisco Jesús Martínez-Murcia, Javier Ramírez, Diego Castillo-Barnes, Juan Manuel Górriz:
Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images. IWINAC (1) 2022: 104-113 - [c153]Wei Wang, Shui-Hua Wang, Juan Manuel Górriz, Yudong Zhang:
Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO. IWINAC (1) 2022: 125-135 - [c152]Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan Manuel Górriz, Yudong Zhang:
RDNet: ResNet-18 with Dropout for Blood Cell Classification. IWINAC (1) 2022: 136-144 - [c151]Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Mitra Rezaei, Juan Manuel Górriz:
Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models. IWINAC (1) 2022: 145-155 - [c150]Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. IWINAC (1) 2022: 156-165 - [c149]Carmen Jimenez-Mesa, Diego Castillo-Barnes, Juan Eloy Arco, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz:
Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. IWINAC (1) 2022: 166-175 - [c148]Diego Castillo-Barnes, Juan Eloy Arco, Carmen Jimenez-Mesa, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez:
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. IWINAC (1) 2022: 176-186 - [c147]Fermín Segovia, Javier Ramírez, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Francisco Jesús Martínez-Murcia, Jacob Rodriguez-Rivero, F. J. Leiva, C. Gaitan, J. M. Górriz:
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging. IWINAC (1) 2022: 573-582 - [i23]J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. CoRR abs/2202.04397 (2022) - [i22]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, Juan Manuel Górriz, Amir Hossein Chale-Chale, Ali Khadem, U. Rajendra Acharya:
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression. CoRR abs/2205.15858 (2022) - [i21]Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - [i20]Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - [i19]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR abs/2210.14909 (2022) - 2021
- [j113]Yu-Dong Zhang, Zhengchao Dong, Juan Manuel Górriz, Yizhang Jiang, Ming Yang, Shui-Hua Wang:
IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering. IEEE Access 9: 74038-74043 (2021) - [j112]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j111]Juan Eloy Arco, Javier Ramírez, Juan Manuel Górriz, María Ruz:
Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease. Expert Syst. Appl. 185: 115549 (2021) - [j110]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j109]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz:
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. Neurocomputing 452: 424-434 (2021) - [j108]Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling:
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66: 198-212 (2021) - [j107]Shui-Hua Wang, Vishnu Varthanan Govindaraj, Juan Manuel Górriz, Xin Zhang, Yu-Dong Zhang:
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. Inf. Fusion 67: 208-229 (2021) - [j106]Yudong Zhang, Juan Manuel Górriz, Zhengchao Dong:
Advances in multimodality data fusion in neuroimaging. Inf. Fusion 76: 87-88 (2021) - [j105]Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Miguel Martinez-Garcia, Yingli Tian, Juan Manuel Górriz, Ivan Tyukin:
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Inf. Fusion 76: 376-421 (2021) - [j104]Yu-Dong Zhang, Suresh Chandra Satapathy, David S. Guttery, Juan Manuel Górriz, Shui-Hua Wang:
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network. Inf. Process. Manag. 58(2): 102439 (2021) - [j103]Yudong Zhang, Juan Manuel Górriz, Zhengchao Dong:
Deep Learning in Medical Image Analysis. J. Imaging 7(4): 74 (2021) - [j102]Ali Akbar Kekha Javan, Mahboobeh Jafari, Afshin Shoeibi, Assef Zare, Marjane Khodatars, Navid Ghassemi, Roohallah Alizadehsani, Juan Manuel Górriz:
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. Sensors 21(11): 3925 (2021) - [j101]Yu-Dong Zhang, Juan Manuel Górriz, Zhengchao Dong:
Introduction to the Special Issue on Explainable Deep Learning for Medical Image Computing. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 99:1-99:2 (2021) - [j100]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [i18]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i17]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz:
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. CoRR abs/2103.02961 (2021) - [i16]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi:
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR abs/2103.03081 (2021) - [i15]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN):
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR abs/2103.16685 (2021) - [i14]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i13]Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, Juan Manuel Górriz:
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning. CoRR abs/2104.11949 (2021) - [i12]Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - [i11]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i10]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR abs/2105.14278 (2021) - [i9]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz:
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. CoRR abs/2106.14724 (2021) - [i8]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - [i7]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR abs/2109.04364 (2021) - [i6]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - 2020
- [j99]Carmen Jimenez-Mesa, Ignacio Álvarez Illán, Alberto Martín-Martín, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Javier Ramírez, Juan Manuel Górriz:
Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis. IEEE Access 8: 96981-96993 (2020) - [j98]Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba:
Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics 14: 573974 (2020) - [j97]José Manuel Ferrández, Diego Andina, Juan Manuel Górriz:
Introduction. Int. J. Neural Syst. 30(7): 2002001:1 (2020) - [j96]Matthew Leming, Juan Manuel Górriz, John Suckling:
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. Int. J. Neural Syst. 30(7): 2050012:1-2050012:16 (2020) - [j95]David López-García, Alberto Sobrado, José M. G. Peñalver, Juan Manuel Górriz, María Ruz:
Multivariate Pattern Analysis Techniques for Electroencephalography Data to Study Flanker Interference Effects. Int. J. Neural Syst. 30(7): 2050024:1-2050024:16 (2020) - [j94]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Abarejo, Miguel Lopez-Zamora, Juan Luis Luque:
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. Int. J. Neural Syst. 30(7): 2050037:1-2050037:17 (2020) - [j93]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz García, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz:
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. Int. J. Neural Syst. 30(9): 2050044:1-2050044:15 (2020) - [j92]Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández:
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410: 237-270 (2020) - [j91]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez:
Expectation-Maximization algorithm for finite mixture of α-stable distributions. Neurocomputing 413: 210-216 (2020) - [j90]Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Manuel Gómez-Río, P. Sopena-Novales, Christophe Phillips, Yudong Zhang, J. M. Górriz:
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease. Neurocomputing 417: 1-9 (2020) - [j89]Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz:
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57: 59-70 (2020) - [j88]Diego Castillo-Barnes, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN):
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Inf. Fusion 58: 153-167 (2020) - [j87]Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz:
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf. Fusion 64: 149-187 (2020) - [j86]Abdelhamid Helali, Haythem Ameur, J. M. Górriz, Javier Ramírez, Hassen Maaref:
Hardware implementation of real-time pedestrian detection system. Neural Comput. Appl. 32(16): 12859-12871 (2020) - [j85]José Manuel Ferrández, Emilia I. Barakova, J. M. Górriz:
Neural Computation links Neuroscience: a synergistic approach. Neural Comput. Appl. 32(17): 13173-13174 (2020) - [j84]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes:
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. IEEE J. Biomed. Health Informatics 24(1): 17-26 (2020) - [i5]Matthew Leming, Juan Manuel Górriz, John Suckling:
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. CoRR abs/2002.07874 (2020) - [i4]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. CoRR abs/2011.14894 (2020) - [i3]Juan Manuel Górriz, John Suckling:
A connection between the pattern classification problem and the General Linear Model for statistical inference. CoRR abs/2012.08903 (2020)
2010 – 2019
- 2019
- [j83]Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez:
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. Frontiers Neuroinformatics 13: 48 (2019) - [j82]Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramírez, Juan Manuel Górriz:
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression. Integr. Comput. Aided Eng. 26(4): 411-426 (2019) - [j81]Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. Int. J. Neural Syst. 29(2): 1850040:1-1850040:22 (2019) - [j80]Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, John Suckling:
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms. Int. J. Neural Syst. 29(7): 1850058:1-1850058:22 (2019) - [j79]Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes:
Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology. Int. J. Neural Syst. 29(9): 1950011:1-1950011:13 (2019) - [j78]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez:
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. Neurocomputing 330: 162-171 (2019) - [j77]Juan Manuel Górriz, Javier Ramírez, MRC AIMS Consortium, John Suckling:
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging. Pattern Recognit. 93: 1-13 (2019) - [c146]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Roberto Cesar Morales-Ortega, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Diego Castillo-Barnes, Fermín Segovia, Ignacio A. Illán, Julio Ortega, Javier Ramírez, Juan Manuel Górriz:
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. IWINAC (1) 2019: 350-359 - [c145]Manuel Martínez-Ibañez, Andrés Ortiz, Jorge Munilla, Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez:
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis. IWINAC (1) 2019: 360-368 - [c144]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Fermín Segovia, Ignacio A. Illán, Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez:
Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis. IWINAC (1) 2019: 379-388 - [c143]David López-García, Alberto Sobrado, J. M. González-Peñalver, Juan Manuel Górriz, María Ruz:
Multivariate Pattern Analysis of Electroencephalography Data in a Demand-Selection Task. IWINAC (1) 2019: 403-411 - [c142]Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Fermín Segovia, Diego Salas-González:
Support Vector Machine Failure in Imbalanced Datasets. IWINAC (1) 2019: 412-419 - [i2]Juan Manuel Górriz, et al.:
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities. CoRR abs/1912.12274 (2019) - 2018
- [j76]Diego Castillo-Barnes, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Juan Manuel Górriz:
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease. Frontiers Neuroinformatics 12: 53 (2018) - [j75]Fermín Segovia, J. M. Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Marcelo García-Pérez:
Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders. Log. J. IGPL 26(6): 618-628 (2018) - [j74]Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez Perez de Inestrosa, Andrés Ortiz