Shekoofeh Azizi

44 papers A* 3Misc 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TxGemma: Efficient and Agentic LLMs for Therapeutics. CoRR Eric Wang, Samuel Schmidgall, Paul F. Jaeger, Fan Zhang, Rory Pilgrim, Yossi Matias, Joelle K. Barral, David J. Fleet, Shekoofeh Azizi
2024	J	`jnl`	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah DeWitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
2024	J	`jnl`	Advancing Multimodal Medical Capabilities of Gemini. CoRR Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024	J	`jnl`	Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models. CoRR Yanchen Wang, Adam Turnbull, Tiange Xiang, Yunlong Xu, Sa Zhou, Adnan Masoud, Shekoofeh Azizi, Feng Vankee Lin, Ehsan Adeli
2024	J	`jnl`	Health AI Developer Foundations. CoRR Atilla P. Kiraly, Sebastien Baur, Kenneth Philbrick, Fereshteh Mahvar, Liron Yatziv, Tiffany L. Chen, Bram Sterling, Nick George, Fayaz Jamil, Jing Tang, Kai Bailey, Faruk Ahmed, Akshay Goel, Abbi Ward, Lin Yang, Andrew Sellergren, Yossi Matias, Avinatan Hassidim, Shravya Shetty, Daniel Golden, Shekoofeh Azizi, David F. Steiner, Yun Liu, Tim Thelin, Rory Pilgrim, Can Kirmizibayrak
2024	J	`jnl`	Towards Conversational Diagnostic AI. CoRR Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan
2024	J	`jnl`	Tx-LLM: A Large Language Model for Therapeutics. CoRR Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, Eeshit Dhaval Vaishnav, Byron Lee, S. Sara Mahdavi, Christopher Semturs, David J. Fleet, Vivek Natarajan, Shekoofeh Azizi
2023	J	`jnl`	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
2023	J	`jnl`	Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
2023	J	`jnl`	Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023	J	`jnl`	Synthetic Data from Diffusion Models Improves ImageNet Classification. Trans. Mach. Learn. Res. Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023	J	`jnl`	Towards Accurate Differential Diagnosis with Large Language Models. CoRR Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan
2023	J	`jnl`	Towards Expert-Level Medical Question Answering with Large Language Models. CoRR Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
2023	J	`jnl`	Towards Generalist Biomedical AI. CoRR Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan
2022	J	`jnl`	Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2022	J	`jnl`	IJCARS - IPCAI 2022 special issue: 13th international conference on information processing in computer-assisted interventions 2022 - part 1. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Alexander Seitel
2022	J	`jnl`	Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
2022	J	`jnl`	Large Language Models Encode Clinical Knowledge. CoRR Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
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
2021	A*	`conf`	Big Self-Supervised Models Advance Medical Image Classification. ICCV Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	J	`jnl`	Big Self-Supervised Models Advance Medical Image Classification. CoRR Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
2021	J	`jnl`	Deep Bregman Divergence for Contrastive Learning of Visual Representations. CoRR Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
2021	J	`jnl`	Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2020	A*	`conf`	Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. CVPR Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu
2020	J	`jnl`	Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. CoRR Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu
2019	A*	`conf`	A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
2019	J	`jnl`	A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
2019	J	`jnl`	Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. Alireza Sedghi, Mehran Pesteie, Golara Javadi, Shekoofeh Azizi, Pingkun Yan, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi
2019	Misc	`conf`	Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier. PSB Blake Pyman, Alireza Sedghi, Shekoofeh Azizi, Kathrin Tyryshkin, Neil Renwick, Parvin Mousavi
2018	—	`conf`	3D tissue mimicking biophantoms for ultrasound imaging: bioprinting and image analysis. Image-Guided Procedures Shekoofeh Azizi, Sharareh Bayat, Ajay Rajaram, Emran Mohammad Abu Anas, Tamer Mohamed, Konrad Walus, Purang Abolmaesumi, Parvin Mousavi
2018	J	`jnl`	Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2018	J	`jnl`	Hierarchical watermarking framework based on analysis of local complexity variations. Multim. Tools Appl. Majid Mohrekesh, Shekoofeh Azizi, Shahram Shirani, Nader Karimi, Shadrokh Samavi
2018	—	`conf`	Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi
2018	J	`jnl`	Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Nathan Van Woudenberg, Samira Sojoudi, Ming Li, Sheng Xu, Emran Mohammad Abu Anas, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2017	J	`jnl`	Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir M. Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi, Parvin Mousavi
2017	J	`jnl`	Hierarchical Watermarking Framework Based on Analysis of Local Complexity Variations. CoRR Majid Mohrekesh, Shekoofeh Azizi, Shahram Shirani, Nader Karimi, Shadrokh Samavi
2017	J	`jnl`	Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Parvin Mousavi, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi
2016	—	`conf`	Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2016	J	`jnl`	Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Farhad Imani, Sahar Ghavidel, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2015	—	`conf`	Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
2014	—	`conf`	Stereo image watermarking method based on binocular just noticeable difference. ISCISC Sepideh Akhavan Bitaghsir, Nader Karimi, Shekoofeh Azizi, Shadrokh Samavi
2013	—	`conf`	Cascaded transform space watermarking based on analysis of local entropy variation. ICME Workshops Shekoofeh Azizi, Shadrokh Samavi, Majid Mohrekesh, Shahram Shirani