Angel Cruz-Roa
Title
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Cited by
Year
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
3032015
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
2902014
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
2822013
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
2162014
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
2022009
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
2012017
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
1552011
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
852014
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
652015
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
422018
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
392011
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
332016
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
312012
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
272015
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
252014
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
232012
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
212015
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
162015
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
162013
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
142009
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Articles 1–20