Babak Ehteshami Bejnordi

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Histopathology Images

Automatic Detection

Top Venues

Medical Imaging: Digital Pathology

IEEE Trans. Medical Imaging

Publications

Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR (2024)
Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR (2024)
Rishabh Tiwari, Arnav Chavan, Deepak Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) (2023)
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis
Computational Pathology: A Survey Review and The Way Forward. CoRR (2023)
Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
Revisiting Single-gated Mixtures of Experts. CoRR (2023)
Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
Scalarization for Multi-Task and Multi-Domain Learning at Scale. NeurIPS (2023)
Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
Scalarization for Multi-Task and Multi-Domain Learning at Scale. CoRR (2023)
Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers. ICCV (Workshops) (2023)
Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers. CoRR (2023)
Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
Revisiting single-gated Mixtures of Experts. BMVC (2022)
Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection. CoRR (2022)
Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection. ECCV (10) (2022)
Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian
FrameExit: Conditional Early Exiting for Efficient Video Recognition. CoRR (2021)
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
Skip-Convolutions for Efficient Video Processing. CoRR (2021)
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
Skip-Convolutions for Efficient Video Processing. CVPR (2021)
Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian
FrameExit: Conditional Early Exiting for Efficient Video Recognition. CVPR (2021)
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
Conditional Channel Gated Networks for Task-Aware Continual Learning. CoRR (2020)
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
Batch-shaping for learning conditional channel gated networks. ICLR (2020)
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
Conditional Channel Gated Networks for Task-Aware Continual Learning. CVPR (2020)
Noureldien Hussein, Mihir Jain, Babak Ehteshami Bejnordi
TimeGate: Conditional Gating of Segments in Long-range Activities. CoRR (2020)
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
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54 (2019)
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
Batch-Shaped Channel Gated Networks. CoRR (2019)
Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38 (2) (2019)
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
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With
Stain normalization of histopathology images using generative adversarial networks. ISBI (2018)
Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. ISBI (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
The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI (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
A survey on deep learning in medical image analysis. Medical Image Anal. 42 (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
The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR (2017)
Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. CoRR (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
A Survey on Deep Learning in Medical Image Analysis. CoRR (2017)
Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR (2017)
Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging 35 (2) (2016)
Babak Ehteshami Bejnordi, Maschenka Balkenhol, Geert Litjens, Roland Holland, Peter Bult, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans. Medical Imaging 35 (9) (2016)
Thomy Mertzanidou, John H. Hipwell, Sara Reis, Babak Ehteshami Bejnordi, Meyke Hermsen, Mehmet Dalmis, Suzan Vreemann, Bram Platel, Jeroen van der Laak, Nico Karssemeijer, Ritse Mann, Peter Bult, David J. Hawkes
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM (2016)
Sil C. van de Leemput, Frank Dorssers, Babak Ehteshami Bejnordi
A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis (2015)
Geert Litjens, Babak Ehteshami Bejnordi, Nadya Timofeeva, G. Swadi, Iringo Kovacs, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak
Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens. Medical Imaging: Digital Pathology (2015)
Babak Ehteshami Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. Medical Imaging: Digital Pathology (2015)
Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Quantitative analysis of stain variability in histology slides and an algorithm for standardization. Medical Imaging: Digital Pathology (2014)
Babak Ehteshami Bejnordi, Ramin Moshavegh, K. Sujathan, Patrik Malm, Ewert Bengtsson, Andrew Mehnert
Novel chromatin texture features for the classification of pap smears. Medical Imaging: Digital Pathology (2013)
Ramin Moshavegh, Babak Ehteshami Bejnordi, Andrew Mehnert, K. Sujathan, Patrik Malm, Ewert Bengtsson
Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis. EMBC (2012)