Babak Ehteshami Bejnordi

50 papers A* 6A 2Journal 28Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Reasoning on the Edge. CoRR Yelysei Bondarenko, Thomas Hehn, Rob Hesselink, Romain Lepert, Fabio Valerio Massoli, Evgeny Mironov, Leyla Mirvakhabova, Tribhuvanesh Orekondy, Spyridon Stasis, Andrey Kuzmin, Anna Kuzina, Markus Nagel, Ankita Nayak, Corrado Rainone, Ork de Rooij, Paul N. Whatmough, Arash Behboodi, Babak Ehteshami Bejnordi
2025	J	`jnl`	Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs. CoRR Leyla Mirvakhabova, Babak Ehteshami Bejnordi, Gaurav Kumar, Hanxue Liang, Wanru Zhao, Paul N. Whatmough
2025	J	`jnl`	KaVa: Latent Reasoning via Compressed KV-Cache Distillation. CoRR Anna Kuzina, Maciej Pioro, Paul N. Whatmough, Babak Ehteshami Bejnordi
2025	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. Trans. Mach. Learn. Res. Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2024	A	`conf`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. BMVC Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2024	J	`jnl`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2024	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. CoRR Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2024	A*	`conf`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi
2023	J	`jnl`	Computational Pathology: A Survey Review and The Way Forward. CoRR 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
2023	J	`jnl`	MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers. CoRR Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
2023	—	`conf`	MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers. ICCV (Workshops) Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
2023	—	`conf`	RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) Rishabh Tiwari, Arnav Chavan, Deepak K. 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
2023	J	`jnl`	Revisiting Single-gated Mixtures of Experts. CoRR Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
2023	A*	`conf`	Scalarization for Multi-Task and Multi-Domain Learning at Scale. NeurIPS Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
2023	J	`jnl`	Scalarization for Multi-Task and Multi-Domain Learning at Scale. CoRR Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
2022	A	`conf`	Revisiting single-gated Mixtures of Experts. BMVC Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
2022	—	`conf`	SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection. ECCV (10) Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati
2022	J	`jnl`	SALISA: Saliency-based Input Sampling for Efficient Video Object Detection. CoRR Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati
2021	A*	`conf`	FrameExit: Conditional Early Exiting for Efficient Video Recognition. CVPR Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian
2021	J	`jnl`	FrameExit: Conditional Early Exiting for Efficient Video Recognition. CoRR Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian
2021	A*	`conf`	Skip-Convolutions for Efficient Video Processing. CVPR Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
2021	J	`jnl`	Skip-Convolutions for Efficient Video Processing. CoRR Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
2020	A*	`conf`	Batch-shaping for learning conditional channel gated networks. ICLR Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
2020	A*	`conf`	Conditional Channel Gated Networks for Task-Aware Continual Learning. CVPR Davide Abati, Jakub M. Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
2020	J	`jnl`	Conditional Channel Gated Networks for Task-Aware Continual Learning. CoRR Davide Abati, Jakub M. Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
2020	J	`jnl`	TimeGate: Conditional Gating of Segments in Long-range Activities. CoRR Noureldien Hussein, Mihir Jain, Babak Ehteshami Bejnordi
2019	J	`jnl`	Batch-Shaped Channel Gated Networks. CoRR Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
2019	J	`jnl`	From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 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
2019	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 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
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR 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
2018	—	`conf`	Stain normalization of histopathology images using generative adversarial networks. ISBI Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With
2017	J	`jnl`	A Survey on Deep Learning in Medical Image Analysis. CoRR 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
2017	J	`jnl`	A survey on deep learning in medical image analysis. Medical Image Anal. 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
2017	J	`jnl`	Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak
2017	—	`conf`	Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. ISBI Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
2017	J	`jnl`	Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. CoRR Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
2017	—	`—`	Histopathological diagnosis of breast cancer using machine learning. Babak Ehteshami Bejnordi
2017	—	`conf`	The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2017	J	`jnl`	The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2016	J	`jnl`	Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans. Medical Imaging Babak Ehteshami Bejnordi, Maschenka Balkenhol, Geert Litjens, Roland Holland, Peter Bult, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2016	J	`jnl`	Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2016	—	`conf`	Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM 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
2015	—	`conf`	A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. Digital Pathology Babak Ehteshami Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2015	—	`conf`	A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans. Computer-Aided Diagnosis Sil C. van de Leemput, Frank Dorssers, Babak Ehteshami Bejnordi
2015	—	`conf`	Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens. Digital Pathology Geert Litjens, Babak Ehteshami Bejnordi, Nadya Timofeeva, G. Swadi, Iringo Kovacs, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak
2014	—	`conf`	Quantitative analysis of stain variability in histology slides and an algorithm for standardization. Digital Pathology Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2013	—	`conf`	Novel chromatin texture features for the classification of pap smears. Digital Pathology Babak Ehteshami Bejnordi, Ramin Moshavegh, K. Sujathan, Patrik Malm, Ewert Bengtsson, Andrew Mehnert
2012	—	`conf`	Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis. EMBC Ramin Moshavegh, Babak Ehteshami Bejnordi, Andrew Mehnert, K. Sujathan, Patrik Malm, Ewert Bengtsson