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ORCIDJasjeet S. Sekhon
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2020 – today
- 2024
[c4]Niroop Channa Rajashekar
, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffrè, Colleen E. Chan, Theo Saarinen, Allen Hsiao, Jasjeet S. Sekhon, Ambrose H. Wong, Leigh V. Evans, René F. Kizilcec, Loren Laine, Terika McCall, Dennis L. Shung:
Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. CHI 2024: 442:1-442:20- [c3]Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan:
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CVPR 2024: 26140-26150 - [i6]Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan:
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR abs/2403.07241 (2024) - 2023
- [c2]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) 2023: 194-205 - [i5]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR abs/2304.02689 (2023) - [i4]Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon:
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator. CoRR abs/2309.15769 (2023) - [i3]Colleen E. Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René F. Kizilcec, Jasjeet S. Sekhon, Dennis L. Shung:
Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk. CoRR abs/2312.10072 (2023) - 2022
- [j1]Sören R. Künzel, Theo Saarinen, Edward W. Liu, Jasjeet S. Sekhon:
Linear Aggregation in Tree-Based Estimators. J. Comput. Graph. Stat. 31(3): 917-934 (2022)
2010 – 2019
- 2019
- [c1]Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon:
Shrinkage Estimators in Online Experiments. KDD 2019: 2914-2922 - [i2]Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins:
Hybridized Threshold Clustering for Massive Data. CoRR abs/1907.02907 (2019) - 2018
- [i1]Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel:
Transfer Learning for Estimating Causal Effects using Neural Networks. CoRR abs/1808.07804 (2018)
Coauthor Index
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