Takip et
John Arevalo
John Arevalo
Broad Institute of MIT and Harvard
broadinstitute.org üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
5212016
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
4892013
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
3302017
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
2152015
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
1102015
A novel machine learning model based on exudate localization to detect diabetic macular edema
O Perdomo, S Otalora, F Rodríguez, J Arevalo, FA González
Proceedings of the ophthalmic medical image analysis international workshop …, 2016
662016
Gated multimodal networks
J Arevalo, T Solorio, M Montes-y-Gomez, FA González
Neural Computing and Applications 32, 10209-10228, 2020
642020
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
562014
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
452017
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
382015
Bag of features for automatic classification of Alzheimer’s disease in magnetic resonance images
A Rueda, J Arevalo, A Cruz, E Romero, FA González
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012
382012
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
342017
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, ...
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
332015
JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations
SN Chandrasekaran, J Ackerman, E Alix, DM Ando, J Arevalo, M Bennion, ...
Biorxiv, 2023.03. 23.534023, 2023
272023
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, 2022.01. 05.475090, 2022
272022
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
262022
A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation
A Cruz-Roa, J Arevalo, A Basavanhally, A Madabhushi, F González
10th International Symposium on Medical Information Processing and Analysis …, 2015
232015
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
192013
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
182014
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
162012
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