John Arevalo
John Arevalo
Computer Science Ph.D.
Verified email at - Homepage
Cited by
Cited by
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
AA Cruz-Roa, J Arevalo, A Madabhushi, FAG Osorio
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 403-410, 2013
Representation learning for mammography mass lesion classification with convolutional neural networks
J Arevalo, FA González, R Ramos-Pollán, JL Oliveira, MAG Lopez
Computer methods and programs in biomedicine 127, 248-257, 2016
Convolutional neural networks for mammography mass lesion classification
J Arevalo, FA González, R Ramos-Pollán, JL Oliveira, MAG Lopez
2015 37th Annual international conference of the IEEE engineering in …, 2015
Gated Multimodal Units for Information Fusion
J Arevalo, T Solorio, M Montes-y-Gómez, FA González
5th International conference on learning representations 2017 workshop, 2017
An unsupervised feature learning framework for basal cell carcinoma image analysis
J Arevalo, A Cruz-Roa, V Arias, E Romero, FA González
Artificial intelligence in medicine 64 (2), 131-145, 2015
Bag of features for automatic classification of Alzheimer’s disease in magnetic resonance images
A Rueda, J Arevalo, A Cruz, E Romero, FA González
Iberoamerican Congress on Pattern Recognition, 559-566, 2012
Combining unsupervised feature learning and riesz wavelets for histopathology image representation: Application to identifying anaplastic medulloblastoma
S Otálora, A Cruz-Roa, J Arevalo, M Atzori, A Madabhushi, AR Judkins, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
A novel machine learning model based on exudate localization to detect diabetic macular edema
O Perdomo, S Otalora, F Rodríguez, J Arevalo, FA González
University of Iowa, 2016
Histopathology image representation for automatic analysis: A state-of-the-art review
J Arevalo, A Cruz-Roa, FA GONZÁLEZ O
Revista Med 22 (2), 79-91, 2014
A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning
A Cruz-Roa, J Arévalo, A Judkins, A Madabhushi, F González
11th International Symposium on Medical Information Processing and Analysis …, 2015
Convolutional network to detect exudates in eye fundus images of diabetic subjects
O Perdomo, J Arevalo, FA González
12th International Symposium on Medical Information Processing and Analysis …, 2017
A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation
A Cruz-Roa, J Arévalo, A Basavanhally, A Madabhushi, F González
10th International Symposium on Medical Information Processing and Analysis …, 2015
Hybrid image representation learning model with invariant features for basal cell carcinoma detection
J Arevalo, A Cruz-Roa, FA González
IX international seminar on medical information processing and analysis 8922 …, 2013
A multi-task approach to predict likability of books
S Maharjan, J Arevalo, M Montes, FA González, T Solorio
Proceedings of the 15th Conference of the European Chapter of the …, 2017
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources
R Ramos-Pollán, FA Gonzalez, JC Caicedo, A Cruz-Roa, JE Camargo, ...
E-Science (e-Science), 2012 IEEE 8th International Conference on, 1-8, 2012
Unsupervised feature learning for content-based histopathology image retrieval
JA Vanegas, J Arevalo, FA González
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2014
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis
O Perdomo, J Arevalo, FA González
13th International Conference on Medical Information Processing and Analysis …, 2017
MindLab at ImageCLEF 2014: Scalable Concept Image Annotation
JA Vanegas, J Arevalo, S Otálora, F Páez, SA Pérez-Rubiano, ...
CLEF 2014 Evaluation Labs and Workshop, Online Working Notes. Sheffield, UK …, 2014
Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
JI Lee, SI Fried, M Im
INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation.
L Pellegrin, JA Vanegas, JEA Ovalle, V Beltrán, HJ Escalante, ...
CLEF (Working Notes), 2015
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