| 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 | 320 | 2015 |
| 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 | 308 | 2014 |
| A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection AA Cruz-Roa, JEA Ovalle, A Madabhushi, FAG Osorio International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 291 | 2013 |
| Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features H Wang, AC Roa, AN Basavanhally, HL Gilmore, N Shih, M Feldman, ... Journal of Medical Imaging 1 (3), 034003, 2014 | 227 | 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, 46450, 2017 | 226 | 2017 |
| Histopathology image classification using bag of features and kernel functions JC Caicedo, A Cruz, FA Gonzalez Conference on Artificial Intelligence in Medicine in Europe, 126-135, 2009 | 204 | 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 | 156 | 2011 |
| 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, 90410B, 2014 | 89 | 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 | 72 | 2015 |
| 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 | 43 | 2018 |
| 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, 2011 | 40 | 2011 |
| 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 | 34 | 2016 |
| 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 | 31 | 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 | 28 | 2015 |
| 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 | 24 | 2014 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 23 | 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 | 22 | 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 | 17 | 2013 |
| 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 | 16 | 2015 |
| Visual pattern analysis in histopathology images using bag of features A Cruz-Roa, JC Caicedo, FA González Iberoamerican Congress on Pattern Recognition, 521-528, 2009 | 14 | 2009 |
Fabio GonzalezAssociate Professor, Comp. Systems and Industrial Eng. Dept, National University of ColombiaBestätigte E-Mail-Adresse bei unal.edu.co
