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Shekoofeh Azizi
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2020 – today
- 2024
- [i20]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:
Towards Conversational Diagnostic AI. CoRR abs/2401.05654 (2024) - [i19]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:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - [i18]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:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i17]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:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024) - [i16]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:
Tx-LLM: A Large Language Model for Therapeutics. CoRR abs/2406.06316 (2024) - 2023
- [j11]Mina Rezaei
, Farzin Soleymani
Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. 235: 103801 (2023) - [j10]Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet:
Synthetic Data from Diffusion Models Improves ImageNet Classification. Trans. Mach. Learn. Res. 2023 (2023) - [i15]Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet:
Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR abs/2304.08466 (2023) - [i14]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:
Generative models improve fairness of medical classifiers under distribution shifts. CoRR abs/2304.09218 (2023) - [i13]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
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR abs/2305.09617 (2023) - [i12]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:
Towards Generalist Biomedical AI. CoRR abs/2307.14334 (2023) - [i11]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:
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR abs/2311.18260 (2023) - [i10]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:
Towards Accurate Differential Diagnosis with Large Language Models. CoRR abs/2312.00164 (2023) - 2022
- [j9]Shekoofeh Azizi, Alexander Seitel
IJCARS - IPCAI 2022 special issue: 13th international conference on information processing in computer-assisted interventions 2022 - part 1. Int. J. Comput. Assist. Radiol. Surg. 17(5): 823-824 (2022) - [j8]Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. 75: 102274 (2022) - [i9]Shekoofeh Azizi
Robust and Efficient Medical Imaging with Self-Supervision. CoRR abs/2205.09723 (2022) - [i8]Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei:
Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR abs/2209.06941 (2022) - [i7]Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl
Large Language Models Encode Clinical Knowledge. CoRR abs/2212.13138 (2022) - 2021
- [c10]Shekoofeh Azizi
Big Self-Supervised Models Advance Medical Image Classification. ICCV 2021: 3458-3468 - [i6]Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi:
Big Self-Supervised Models Advance Medical Image Classification. CoRR abs/2101.05224 (2021) - [i5]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:
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR abs/2104.03829 (2021) - [i4]Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi:
Deep Bregman Divergence for Contrastive Learning of Visual Representations. CoRR abs/2109.07455 (2021) - 2020
- [c9]Zili Yi, Qiang Tang, Shekoofeh Azizi
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. CVPR 2020: 7505-7514 - [i3]Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu:
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. CoRR abs/2005.09704 (2020)
2010 – 2019
- 2019
- [j7]Alireza Sedghi
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1009-1016 (2019) - [c8]Saeid Asgari Taghanaki, Kumar Abhishek
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR 2019: 11340-11349 - [c7]Blake Pyman, Alireza Sedghi, Shekoofeh Azizi, Kathrin Tyryshkin, Neil Renwick, Parvin Mousavi:
Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier. PSB 2019: 160-171 - [i2]Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR abs/1903.01015 (2019) - 2018
- [j6]Shekoofeh Azizi
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1201-1209 (2018) - [j5]Majid Mohrekesh, Shekoofeh Azizi
Hierarchical watermarking framework based on analysis of local complexity variations. Multim. Tools Appl. 77(23): 30865-30890 (2018) - [j4]Shekoofeh Azizi
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging 37(12): 2695-2703 (2018) - [c6]Shekoofeh Azizi
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) 2018: 21-29 - [c5]Shekoofeh Azizi
3D tissue mimicking biophantoms for ultrasound imaging: bioprinting and image analysis. Medical Imaging: Image-Guided Procedures 2018: 105761T - 2017
- [j3]Shekoofeh Azizi
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1111-1121 (2017) - [j2]Shekoofeh Azizi
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1293-1305 (2017) - [i1]Majid Mohrekesh, Shekoofeh Azizi, Shahram Shirani, Nader Karimi, Shadrokh Samavi:
Hierarchical Watermarking Framework Based on Analysis of Local Complexity Variations. CoRR abs/1709.03020 (2017) - 2016
- [j1]Shekoofeh Azizi
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 11(6): 947-956 (2016) - [c4]Shekoofeh Azizi
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) 2016: 653-661 - 2015
- [c3]Shekoofeh Azizi
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 2015: 70-77 - 2014
- [c2]Sepideh Akhavan Bitaghsir, Nader Karimi
Stereo image watermarking method based on binocular just noticeable difference. ISCISC 2014: 33-38 - 2013
- [c1]Shekoofeh Azizi
Cascaded transform space watermarking based on analysis of local entropy variation. ICME Workshops 2013: 1-6
Coauthor Index
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