Le Hou
Le Hou
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Cited by
Cited by
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
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
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
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
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
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
Unsupervised histopathology image synthesis
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
arXiv preprint arXiv:1712.05021, 2017
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
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
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 190 (7), 1491-1504, 2020
Convnets with smooth adaptive activation functions for regression
L Hou, D Samaras, T Kurc, Y Gao, J Saltz
Artificial Intelligence and Statistics, 430-439, 2017
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
2007 IEEE Conference on computer vision and pattern recognition
X Hou, L Zhang
IEEE Computer Society, 2007
Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types
L Hou, R Gupta, JSV Arnam, Y Zhang, K Sivalenka, D Samaras, TM Kurc, ...
Scientific data, 2020
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
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
Tensorflow model garden
H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ...
Recuperado de https://github. com/tensorflow/models, 2020
Label super-resolution networks
K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ...
International Conference on Learning Representations (ICLR), 2019
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
Talking-heads attention
N Shazeer, Z Lan, Y Cheng, N Ding, L Hou
arXiv preprint arXiv:2003.02436, 2020
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