Manan A. Shah

According to our database, Manan A. Shah authored at least 4 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

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

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim

Medical Image Anal., 2019

2018

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

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. 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

CoRR, 2018

2017

Deep learning assessment of tumor proliferation in breast cancer histological images.

Manan A. Shah, Dayong Wang, Christopher Rubadue, David Suster, Andrew H. Beck

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images.

Manan A. Shah, Christopher Rubadue, David Suster, Dayong Wang

CoRR, 2016