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
2242016
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
1182018
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
482016
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
44*
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
282019
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
232015
Unsupervised histopathology image synthesis
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
arXiv preprint arXiv:1712.05021, 2017
192017
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
192017
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
172017
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
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
112018
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
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
62019
Label super-resolution networks
K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ...
International Conference on Learning Representations (ICLR), 2019
62019
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
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
42019
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
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types
S Abousamra, L Hou, R Gupta, C Chen, D Samaras, T Kurc, R Batiste, ...
arXiv preprint arXiv:1907.03960, 2019
12019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
H Le, R Gupta, L Hou, S Abousamra, D Fassler, T Kurc, D Samaras, ...
arXiv preprint arXiv:1905.10841, 2019
12019
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Articles 1–20