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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Journal ArticleDOI
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
TL;DR: In this paper, deep belief networks are applied on brain regions defined by the Automated Anatomical Labeling (AAL) atlas and the final prediction is determined by a voting scheme, where discriminative features are computed in an unsupervised fashion.
Book ChapterDOI
Voice Activity Detection. Fundamentals and Speech Recognition System Robustness
TL;DR: This chapter shows a comprehensive approximation to the main challenges in voice activity detection, the different solutions that have been reported in a complete review of the state of the art and the evaluation frameworks that are normally used.
Journal ArticleDOI
Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network.
Shuihua Wang,Shuihua Wang,Shuihua Wang,Vishnuvarthanan Govindaraj,Juan Manuel Górriz,Juan Manuel Górriz,Xin Zhang,Yudong Zhang,Yudong Zhang +8 more
TL;DR: The proposed FGCNet model can assist radiologists to rapidly detect COVID-19 from chest CT images and gives better performance than all 15 state-of-the-art methods.
Journal ArticleDOI
Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images
TL;DR: A new CAD system that allows the early AD diagnosis using tissue-segmented brain images and is based on several multivariate approaches, such as partial least squares (PLS) and principal component analysis (PCA), which aims to discriminate between AD, mild cognitive impairment (MCI) and elderly normal control (NC) subjects.
Journal ArticleDOI
Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
Yudong Zhang,Yudong Zhang,Suresh Chandra Satapathy,David S. Guttery,Juan Manuel Górriz,Shuihua Wang,Shuihua Wang +6 more
TL;DR: The BDR-CNN-GCN showed improved performance compared to five proposed neural network models and 15 state-of-the-art breast cancer detection approaches, proving to be an effective method for data augmentation and improved detection of malignant breast masses.