Takip et
Angel Cruz-Roa
Angel Cruz-Roa
School of Engineering, Universidad de los Llanos
unillanos.edu.co üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
7642014
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
5692017
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
5292013
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
5272015
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
4332014
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
2542009
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
1922011
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
1552018
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
1472014
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
1202015
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
892016
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
622014
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
502012
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
452015
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
412012
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
362015
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
322012
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
252015
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
202013
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
182017
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Makaleler 1–20