| 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 | 576 | 2016 |
| 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 | 529 | 2013 |
| 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 | 450 | 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 | 231 | 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 | 120 | 2015 |
| Gated multimodal networks J Arevalo, T Solorio, M Montes-y-Gomez, FA González Neural Computing and Applications 32, 10209-10228, 2020 | 99 | 2020 |
| 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 | 73 | 2016 |
| 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, ... Nature Methods, 1-8, 2024 | 71 | 2024 |
| 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 | 66 | 2023 |
| 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 | 62 | 2014 |
| 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 | 56 | 2017 |
| 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 | 46 | 2022 |
| 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 | 45 | 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 Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 41 | 2012 |
| 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 | 40 | 2017 |
| 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 | 36 | 2015 |
| 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 | 25 | 2015 |
| Evaluating batch correction methods for image-based cell profiling J Arevalo, E Su, JD Ewald, R van Dijk, AE Carpenter, S Singh Nature Communications 15 (1), 6516, 2024 | 23 | 2024 |
| 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 | 20 | 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 | 19 | 2014 |
Fabio GonzalezFull Professor, Comp. Systems and Industrial Eng. Dept, National University of Colombiaunal.edu.co의 이메일 확인됨