World's Best Scientists 2026 revealed!
Juan Manuel Górriz

Juan Manuel Górriz

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
15090
World Ranking
2225
National Ranking
27

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Juan Manuel Górriz is affiliated with the University of Granada in Spain. Their research contributions span multiple disciplines, including Medicine, Computer Science, and Neuroscience, with significant outputs in several specialized subfields.

The main fields of study include:

  • Medicine
  • Computer Science
  • Neuroscience

The subfields where Juan Manuel Górriz has focused research efforts include:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Neurology
  • Computer Vision and Pattern Recognition

The key topics covered in their work consist of:

  • COVID-19 diagnosis using AI
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Anomaly Detection Techniques and Applications

Juan Manuel Górriz has published extensively in various scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Information Fusion
  • International Journal of Neural Systems
  • Neurocomputing
  • Computers in Biology and Medicine

Recent notable papers from the researcher are:

  • Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020), published in Information Fusion
  • Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network (2020), published in Information Fusion
  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network (2020), published in Information Processing & Management
  • Deep learning in food category recognition (2023), published in Information Fusion
  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications (2020), published in Neurocomputing

The researcher collaborates frequently with a group of co-authors, among whom are:

  • Javier Ramírez
  • Yudong Zhang
  • Afshin Shoeibi
  • Roohallah Alizadehsani
  • Francisco J. Martínez-Murcia

Best Publications

  • Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

    Yu-Dong Zhang;Yu-Dong Zhang;Zhengchao Dong;Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Xiang Yu

  • Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

    Andrés Ortiz;Jorge Munilla;Juan Manuel Górriz;Javier Ramírez

  • Voice Activity Detection. Fundamentals and Speech Recognition System Robustness

    J. Ramírez;J. M. Górriz;J. C. Segura

  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Yu-Dong Zhang;Yu-Dong Zhang;Suresh Chandra Satapathy;David S. Guttery;Juan Manuel Górriz

  • Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network.

    Shui Hua Wang;Shui Hua Wang;Shui Hua Wang;Vishnu Varthanan Govindaraj;Juan Manuel Górriz;Juan Manuel Górriz;Xin Zhang

  • Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

    Laila Khedher;Javier Ramírez;Juan Manuel Górriz;Abdelbasset Brahim

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Juan M. Górriz;Juan M. Górriz;Javier Ramírez;Andrés Ortíz;Francisco J. Martínez-Murcia

  • Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    Francisco J. Martinez-Murcia;Andres Ortiz;Juan-Manuel Gorriz;Javier Ramirez

  • Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features

    J. RamíRez;J. M. GóRriz;D. Salas-Gonzalez;A. Romero

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects

    Shuihua Wang;M. Emre Celebi;Yu-Dong Zhang;Xiang Yu

  • NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease

    P. Padilla;M. Lopez;J. M. Gorriz;J. Ramirez

  • Brain connectivity analysis: a short survey

    E. W. Lang;A. M. Tomé;I. R. Keck;J. M. Górriz-Sáez

  • 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

    I. A. Illán;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

    M. López;J. Ramírez;J. M. Górriz;I. Álvarez

  • Multivariate Approach for Alzheimer's Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization.

    Yudong Zhang;Shuihua Wang;Yuxiu Sui;Ming Yang

  • Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

    Afshin Shoeibi;Marjane Khodatars;Mahboobeh Jafari;Parisa Moridian

  • SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

    R. Chaves;J. Ramírez;J.M. Górriz;M. López

  • Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

    Afshin Shoeibi;Delaram Sadeghi;Parisa Moridian;Navid Ghassemi

  • A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

    J.M. Gorriz;J. Ramirez;S. Cruces-Alvarez;C.G. Puntonet

  • NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network

    Siyuan Lu;Ziquan Zhu;Juan Manuel Gorriz;Shui-Hua Wang

  • An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works.

    Delaram Sadeghi;Afshin Shoeibi;Navid Ghassemi;Parisa Moridian

  • SVM-based CAD System for Early Detection of the Alzheimer's Disease Using Kernel PCA and LDA

    M.M. López;J. Ramírez;J.M. Górriz;I. Álvarez

  • Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification

    J. Ramírez;J.M. Górriz;F. Segovia;R. Chaves

Frequent Co-Authors

Javier Ramírez
Javier Ramírez University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Diego Salas-Gonzalez
Diego Salas-Gonzalez University of Granada
Elmar Lang
Elmar Lang University of Regensburg
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Yudong Zhang
Yudong Zhang University of Leicester
Christophe Phillips
Christophe Phillips University of Liège
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Fabian J. Theis
Fabian J. Theis Technical University of Munich
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University

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