Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks A Cruz-Roa, A Basavanhally, F González, H Gilmore, M Feldman, ... Medical Imaging 2014: Digital Pathology 9041, 904103, 2014 | 709 | 2014 |
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, ... Scientific reports 7 (1), 46450, 2017 | 528 | 2017 |
Assessment of algorithms for mitosis detection in breast cancer histopathology images M Veta, PJ Van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ... Medical image analysis 20 (1), 237-248, 2015 | 507 | 2015 |
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection AA Cruz-Roa, JE Arevalo Ovalle, A Madabhushi, FA González Osorio Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 507 | 2013 |
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ... Journal of Medical Imaging 1 (3), 034003-034003, 2014 | 415 | 2014 |
Histopathology image classification using bag of features and kernel functions JC Caicedo, A Cruz, FA Gonzalez Artificial Intelligence in Medicine: 12th Conference on Artificial …, 2009 | 250 | 2009 |
Visual pattern mining in histology image collections using bag of features A Cruz-Roa, JC Caicedo, FA González Artificial intelligence in medicine 52 (2), 91-106, 2011 | 185 | 2011 |
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, N Shih, ... PloS one 13 (5), e0196828, 2018 | 143 | 2018 |
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ... Medical Imaging 2014: Digital Pathology 9041, 66-75, 2014 | 141 | 2014 |
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 | 112 | 2015 |
Automatic detection of mitosis using handcrafted and convolutional neural network features A Madabhushi, H Wang, A Cruz-Roa, F Gonzalez US Patent 9,430,829, 2016 | 84 | 2016 |
Histopathology image representation for automatic analysis: A state-of-the-art review J Arévalo, A Cruz-Roa, F González Revista Med 22 (2), 79-91, 2014 | 58 | 2014 |
Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization A Cruz-Roa, G Díaz, E Romero, FA González Journal of pathology informatics 2 (2), 4, 2012 | 49 | 2012 |
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 | 41 | 2015 |
Bag of Features for Automatic Classification of Alzheimer’s Disease in Magnetic Resonance Images A Rueda, J Arevalo, A Cruz, E Romero, F González Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 39 | 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, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 33 | 2015 |
A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides A Cruz-Roa, F González, J Galaro, AR Judkins, D Ellison, J Baccon, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 32 | 2012 |
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 | 23 | 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 | 20 | 2013 |
Clasificación y mapeo automático de coberturas del suelo en imágenes satelitales utilizando Redes Neuronales Convolucionales AS Suárez, AF Jiménez, M Castro-Franco, A Cruz-Roa Orinoquia 21, 64-75, 2017 | 17 | 2017 |