Boris Babenko - RankMe

24 papers A* 5Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting. CoRR Shreya Agrawal, Mohammed Alewi Hassen, Emmanuel Asiedu Brempong, Boris Babenko, Fred Zyda, Olivia Graham, Di Li, Samier Merchant, Santiago Hincapie Potes, Tyler Russell, Danny Cheresnick, Aditya Prakash Kakkirala, Stephan Rasp, Avinatan Hassidim, Yossi Matias, Nal Kalchbrenner, Pramod Gupta, Jason Hickey, Aaron Bell
2024	J	`jnl`	Interdisciplinary Expertise to Advance Equitable Explainable AI. CoRR Chloe R. Bennett, Heather Cole-Lewis, Stephanie Farquhar, Naama Haamel, Boris Babenko, Oran Lang, Mat Fleck, Ilana Traynis, Charles Lau, Ivor Horn, Courtney Lyles
2024	—	`conf`	PathAlign: A vision-language model for whole slide images in histopathology. COMPAY@MICCAI Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Gregory S. Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn
2024	J	`jnl`	PathAlign: A vision-language model for whole slide images in histopathology. CoRR Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Greg Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn
2023	J	`jnl`	Using generative AI to investigate medical imagery models and datasets. CoRR Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko
2022	J	`jnl`	Discovering novel systemic biomarkers in photos of the external eye. CoRR Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu
2022	J	`jnl`	Robust and Efficient Medical Imaging with Self-Supervision. CoRR Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
2020	J	`jnl`	Detecting hidden signs of diabetes in external eye photographs. CoRR Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y. Maa, Jorge Cuadros, Greg Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu
2020	J	`jnl`	Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi
2019	J	`jnl`	Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. CoRR Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
2017	J	`jnl`	Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico. CoRR Boris Babenko, Jonathan Hersh, David Newhouse, Anusha Ramakrishnan, Tom Swartz
2012	—	`—`	Training discriminative computer vision models with weak supervision. Boris Babenko
2011	A*	`conf`	End-to-end scene text recognition. ICCV Kai Wang, Boris Babenko, Serge J. Belongie
2011	A*	`conf`	Multiple Instance Learning with Manifold Bags. ICML Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie
2011	J	`jnl`	Robust Object Tracking with Online Multiple Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
2010	—	`conf`	Automated Analysis of PIN-4 Stained Prostate Needle Biopsies. Prostate Cancer Imaging Bikash Sabata, Boris Babenko, Robert Monroe, Chukka Srinivas
2010	—	`conf`	Visual Recognition with Humans in the Loop. ECCV (4) Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, Serge J. Belongie
2009	—	`conf`	A family of online boosting algorithms. ICCV Workshops Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
2009	A*	`conf`	Similarity metrics for categorization: From monolithic to category specific. ICCV Boris Babenko, Steve Branson, Serge J. Belongie
2009	A*	`conf`	Visual tracking with online Multiple Instance Learning. CVPR Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
2008	—	`conf`	Multiple Component Learning for Object Detection. ECCV (2) Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu
2008	—	`conf`	Weakly Supervised Object Localization with Stable Segmentations. ECCV (1) Carolina Galleguillos, Boris Babenko, Andrew Rabinovich, Serge J. Belongie
2007	A*	`conf`	Task Specific Local Region Matching. ICCV Boris Babenko, Piotr Dollár, Serge J. Belongie
2006	—	`conf`	ImprovingWeb-based Image Search via Content Based Clustering. CVPR Workshops Nadav Ben-Haim, Boris Babenko, Serge J. Belongie