John Arevalo
John Arevalo
Broad Institute of MIT and Harvard
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
A novel machine learning model based on exudate localization to detect diabetic macular edema
O Perdomo, S Otalora, F Rodríguez, J Arevalo, FA González
Ophthalmic Medical Image Analysis International Workshop 3 (2016), 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
Gated multimodal networks
J Arevalo, T Solorio, M Montes-y-Gomez, FA González
Neural Computing and Applications 32 (14), 10209-10228, 2020
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 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 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
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
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
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
Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources
J Arevalo, R Ramos-Pollan, FA González
High Performance Computing, 43-53, 2014
Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations
SN Chandrasekaran, BA Cimini, A Goodale, L Miller, M Kost-Alimova, ...
bioRxiv, 2022
Cell Painting predicts impact of lung cancer variants
JC Caicedo, J Arevalo, F Piccioni, MA Bray, CL Hartland, X Wu, ...
Molecular Biology of the Cell 33 (6), ar49, 2022
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