Jasjeet S. Sekhon

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Medical Image Segmentation

Decision Support

Cardiac Surgery

Top Venues

J. Comput. Graph. Stat.

Publications

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 (2024)
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)
Colleen Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René Kizilcec, Jasjeet S. Sekhon, Dennis Shung
Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk. CoRR (2023)
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 (2023)
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)
Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator. CoRR (2023)
Sören R. Künzel, Theo Saarinen, Edward W. Liu, Jasjeet S. Sekhon
Linear Aggregation in Tree-Based Estimators. J. Comput. Graph. Stat. 31 (3) (2022)
Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins
Hybridized Threshold Clustering for Massive Data. CoRR (2019)
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 (2018)