Le Hou
Le Hou
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Title
Cited by
Cited by
Year
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
3012016
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
2032018
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
692016
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
56*
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
452019
Unsupervised histopathology image synthesis
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
arXiv preprint arXiv:1712.05021, 2017
292017
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
272015
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
252017
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
182017
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
182016
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
172019
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
162019
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
142018
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
Label super-resolution networks
K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ...
International Conference on Learning Representations (ICLR), 2019
102019
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, L Torre-Healy, RA Moffitt, ...
The American Journal of Pathology, 2020
42020
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
42019
High resolution medical image analysis with spatial partitioning
L Hou, Y Cheng, N Shazeer, N Parmar, Y Li, P Korfiatis, TM Drucker, ...
arXiv preprint arXiv:1909.03108, 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
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
3
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Articles 1–20