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Babak Ehteshami Bejnordi

FrameExit: Conditional Early Exiting for Efficient Video Recognition


Apr 27, 2021
Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian

* CVPR 2021 | Oral paper 

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Skip-Convolutions for Efficient Video Processing


Apr 23, 2021
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi

* CVPR 2021 

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TimeGate: Conditional Gating of Segments in Long-range Activities


Apr 03, 2020
Noureldien Hussein, Mihir Jain, Babak Ehteshami Bejnordi


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Conditional Channel Gated Networks for Task-Aware Continual Learning


Mar 31, 2020
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

* CVPR 2020 (oral) 

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Batch-Shaped Channel Gated Networks


Jul 15, 2019
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling


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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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A Survey on Deep Learning in Medical Image Analysis


Jun 04, 2017
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez

* Revised survey includes expanded discussion section and reworked introductory section on common deep architectures. Added missed papers from before Feb 1st 2017 

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The importance of stain normalization in colorectal tissue classification with convolutional networks


May 23, 2017
Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak

* Published in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) 2017 

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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images


May 10, 2017
Babak Ehteshami Bejnordi, Guido Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak


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Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images


Feb 19, 2017
Babak Ehteshami Bejnordi, Jimmy Linz, Ben Glass, Maeve Mullooly, Gretchen L Gierach, Mark E Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H Beck

* 5 pages, 2 figures, ISBI 2017 Submission 

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