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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge


Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/ 

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Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images


Oct 11, 2016
Manan Shah, Christopher Rubadue, David Suster, Dayong Wang


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Deep Learning for Identifying Metastatic Breast Cancer


Jun 18, 2016
Dayong Wang, Aditya Khosla, Rishab Gargeya, Humayun Irshad, Andrew H. Beck


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Clustering Millions of Faces by Identity


Apr 04, 2016
Charles Otto, Dayong Wang, Anil K. Jain


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Face Search at Scale: 80 Million Gallery


Jul 28, 2015
Dayong Wang, Charles Otto, Anil K. Jain

* 14 pages, 16 figures 

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A Framework of Sparse Online Learning and Its Applications


Jul 25, 2015
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi

* 13 pages, 14 figures 

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