Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images. - Andrea Rueda; John Edison Arevalo Ovalle; Angel Cruz-Roa; Eduardo Romero 001; Fabio A. González 001 (CIARP, 2012)

BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. - Raúl Ramos-Pollán; Fabio A. González 001; Juan C. Caicedo; Angel Cruz-Roa; Jorge E. Camargo; Jorge A. Vanegas; Santiago A. Perez; José David Bermeo; Juan Sebastian Otálora Montenegro; Paola K. Rozo; John Edison Arevalo Ovalle (eScience, 2012)

A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. - Angel Alfonso Cruz-Roa; John Edison Arevalo Ovalle; Anant Madabhushi; Fabio Augusto González Osorio (MICCAI (2), 2013)

Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources. - John Edison Arevalo Ovalle; Raúl Ramos-Pollán; Fabio A. González 001 (CARLA, 2014)

Unsupervised feature learning for content-based histopathology image retrieval. - Jorge A. Vanegas; John Edison Arevalo Ovalle; Fabio A. González 001 (CBMI, 2014)

MindLab at ImageCLEF 2014: Scalable Concept Image Annotation. - Jorge A. Vanegas; John Edison Arevalo Ovalle; Juan Sebastian Otálora Montenegro; Fabian Páez; Santiago A. Pérez-Rubiano; Fabio A. González 001 (CLEF (Working Notes), 2014)

INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation. - Luis Pellegrin; Jorge A. Vanegas; John Edison Arevalo Ovalle; Viviana Beltrán; Hugo Jair Escalante; Manuel Montes-y-Gómez; Fabio A. González 001 (CLEF (Working Notes), 2015)

Convolutional neural networks for mammography mass lesion classification. - John Edison Arevalo Ovalle; Fabio A. González 001; Raúl Ramos-Pollán; José Luís Oliveira; Miguel Ángel Guevara-López (EMBC, 2015)

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. - Sebastian Otálora; Angel Cruz-Roa; John Edison Arevalo Ovalle; Manfredo Atzori; Anant Madabhushi; Alexander R. Judkins; Fabio A. González 001; Henning Müller; Adrien Depeursinge (MICCAI (1), 2015)

An unsupervised feature learning framework for basal cell carcinoma image analysis. - John Edison Arevalo Ovalle; Angel Cruz-Roa; Viviana Arias; Eduardo Romero 001; Fabio A. González 001 (Artif. Intell. Medicine, 2015)

A Two-Step Retrieval Method for Image Captioning. - Luis Pellegrin; Jorge A. Vanegas; John Edison Arevalo Ovalle; Viviana Beltrán; Hugo Jair Escalante; Manuel Montes-y-Gómez; Fabio A. González 001 (CLEF, 2016)

Representation learning for mammography mass lesion classification with convolutional neural networks. - John Edison Arevalo Ovalle; Fabio A. González 001; Raúl Ramos-Pollán; José Luís Oliveira; Miguel Ángel Guevara-López (Comput. Methods Programs Biomed., 2016)

A Multi-task Approach to Predict Likability of Books. - Suraj Maharjan; John Edison Arevalo Ovalle; Manuel Montes-y-Gómez; Fabio A. González 001; Thamar Solorio (EACL (1), 2017)

Gated Multimodal Units for Information Fusion. - John Edison Arevalo Ovalle; Thamar Solorio; Manuel Montes-y-Gómez; Fabio A. González 001 (ICLR (Workshop), 2017)

Combining morphometric features and convolutional networks fusion for glaucoma diagnosis. - Oscar J. Perdomo; John Edison Arevalo Ovalle; Fabio A. González 001 (SIPAIM, 2017)

Gated multimodal networks. - John Edison Arevalo Ovalle; Thamar Solorio; Manuel Montes-y-Gómez; Fabio A. González 001 (Neural Comput. Appl., 2020)