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MixSiam: A Mixture-based Approach to Self-supervised Representation Learning


Nov 04, 2021
Xiaoyang Guo, Tianhao Zhao, Yutian Lin, Bo Du

* 9 pages 

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Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types


Jul 09, 2019
Shahira Abousamra, Le Hou, Rajarsi Gupta, Chao Chen, Dimitris Samaras, Tahsin Kurc, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel Saltz


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Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer


May 29, 2019
Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel Saltz

* Nature Scientific Reports Submission 

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Methods for Segmentation and Classification of Digital Microscopy Tissue Images


Oct 31, 2018
Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin Kurc, Keyvan Farahani, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz


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3D Facial Expression Reconstruction using Cascaded Regression


Aug 17, 2018
Fanzi Wu, Songnan Li, Tianhao Zhao, King Ngi Ngan, Lv Sheng


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Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images


Apr 10, 2017
Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, Tianhao Zhao, Joel H. Saltz


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