J
Juan Manuel Górriz
Researcher at University of Granada
Publications - 403
Citations - 8595
Juan Manuel Górriz is an academic researcher from University of Granada. The author has contributed to research in topics: Support vector machine & Computer science. The author has an hindex of 43, co-authored 360 publications receiving 6429 citations. Previous affiliations of Juan Manuel Górriz include University of Cádiz & University of Cambridge.
Papers
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Book ChapterDOI
Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis
TL;DR: This study proposes automatic measures for reproducible evaluation on the DCE-MRI breast-diagnosis TCIA-database, based on edge detection and clustering algorithms, and provides a rank of the methods according to these measures.
Proceedings ArticleDOI
Simulating functional brain images in Alzheimer's disease
U. Vidal-Sanz,Francisco Jesús Martínez-Murcia,Juan Manuel Górriz,Javier Ramírez,Ignacio A. Illán,Fermín Segovia,Diego Salas-Gonzalez +6 more
TL;DR: A new algorithm intended to generate a new set of functional images with similar characteristics to an original one, in this case, a subset of the PET ADNI database, providing better generalizable results.
Journal ArticleDOI
Optimization Algorithms and Machine Learning Techniques in Medical Image Analysis.
TL;DR: In this paper , the authors proposed a method to solve the problem of the problem: the one-dimensional graph. .
Journal ArticleDOI
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
Juan E. Arco,Andrés Ortiz,Javier Ramírez,Francisco Jesús Martínez-Murcia,Yudong Zhang,Jordi Broncano,Manuel Álvaro Berbís,Javier Royuela-del-Val,Antonio Luna,Juan Manuel Górriz +9 more
TL;DR: In this paper , an ensemble classifier based on probabilistic Support Vector Machine (SVM) was proposed to identify relevant patterns while providing information about the reliability of the classification, which achieved an accuracy of 97.86%.
Journal ArticleDOI
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
TL;DR: In this paper , a siamese neural network is used to fuse information from MRI and PET to evaluate the relevance of each brain region at different stages of the development of Alzheimer's disease.