Le Hou
TitleCited byYear
Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
L Hou, D Samaras, T Kurc, Y Gao, J Davis, J Saltz
Computer Vision and Pattern Recognition, 2016
2072016
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
J Saltz, R Gupta, L Hou, T Kurc, P Singh, V Nguyen, D Samaras, ...
Cell reports 23 (1), 181-193. e7, 2018
972018
Large-scale training of shadow detectors with noisily-annotated shadow examples
TFY Vicente, L Hou, CP Yu, M Hoai, D Samaras
European Conference on Computer Vision, 816-832, 2016
442016
Squared earth mover's distance-based loss for training deep neural networks
L Hou, CP Yu, D Samaras
arXiv preprint arXiv:1611.05916, 2016
332016
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification
L Hou, D Samaras, T Kurc, Y Gao, J Davis, J Saltz
arXiv, 2015
222015
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
L Hou, V Nguyen, AB Kanevsky, D Samaras, TM Kurc, T Zhao, RR Gupta, ...
Pattern recognition 86, 188-200, 2019
202019
Unsupervised histopathology image synthesis
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
arXiv preprint arXiv:1712.05021, 2017
182017
Center-focusing multi-task CNN with injected features for classification of glioma nuclear images
V Murthy, L Hou, D Samaras, TM Kurc, JH Saltz
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 834-841, 2017
162017
Convnets with smooth adaptive activation functions for regression
L Hou, D Samaras, TM Kurc, Y Gao, JH Saltz
Proceedings of machine learning research 54, 430, 2017
152017
Automatic histopathology image analysis with CNNs
L Hou, K Singh, D Samaras, TM Kurc, Y Gao, RJ Seidman, JH Saltz
2016 New York Scientific Data Summit (NYSDS), 1-6, 2016
142016
Neural networks with smooth adaptive activation functions for regression
L Hou, D Samaras, TM Kurc, Y Gao, JH Saltz
arXiv preprint arXiv:1608.06557, 2016
112016
Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images
S Wen, TM Kurc, L Hou, JH Saltz, RR Gupta, R Batiste, T Zhao, V Nguyen, ...
AMIA Summits on Translational Science Proceedings 2018, 227, 2018
102018
Efficient multiple instance convolutional neural networks for gigapixel resolution image classification. 2015
L Hou, D Samaras, TM Kurc, Y Gao, JE Davis, JH Saltz
arXiv preprint arXiv:1504.07947, 0
5
Label super-resolution networks
K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ...
International Conference on Learning Representations (ICLR), 2019
42019
Squared Earth Mover’s Distance Loss for Training Deep Neural Networks on Ordered-Classes
L Hou, CP Yu, D Samaras
NIPS workshop Learning on Distributions, Functions, Graphs and Groups, 0
4*
Large scale shadow annotation and detection using lazy annotation and stacked CNNs
L Hou, TFY Vicente, M Hoai, D Samaras
IEEE transactions on pattern analysis and machine intelligence, 2019
32019
Using Machine Methods to Score Tumor-Infiltrating Lymphocytes in Lung Cancer
T Zhao, L Hou, V Nguyen, Y Gao, D Samaras, T Kurc, J Saltz
United States and Canadian Academy of Pathology, 2017
32017
Robust Histopathology Image Analysis: to Label or to Synthesize?
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
Computer Vision and Pattern Recognition (CVPR), 2019
22019
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
C Robinson, L Hou, K Malkin, R Soobitsky, J Czawlytko, B Dilkina, N Jojic
Computer Vision and Pattern Recognition (CVPR), 2019
12019
Exascale Deep Learning to Accelerate Cancer Research
RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ...
arXiv preprint arXiv:1909.12291, 2019
2019
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Articles 1–20