MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models - Aofei Chang; Le Huang; Parminder Bhatia; Taha A. Kass-Hout; Fenglong Ma; Cao Xiao (CoRR, 2025)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation - Aishik Konwer; Zhijian Yang; Erhan Bas; Cao Xiao; Prateek Prasanna; Parminder Bhatia; Taha A. Kass-Hout (CoRR, 2025)

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval - Pengcheng Jiang; Cao Xiao; Minhao Jiang; Parminder Bhatia; Taha A. Kass-Hout; Jimeng Sun; Jiawei Han (CoRR, 2024)

Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images - Longchao Da; Rui Wang; Xiaojian Xu; Parminder Bhatia; Taha A. Kass-Hout; Hua Wei; Cao Xiao (CoRR, 2024)

Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs - Shuyang Yu; Runxue Bao; Parminder Bhatia; Taha A. Kass-Hout; Jiayu Zhou; Cao Xiao (CoRR, 2024)

Deep Linear Hawkes Processes - Yuxin Chang; Alex Boyd; Cao Xiao; Taha A. Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington (CoRR, 2024)

SonoSAM - Segment Anything on Ultrasound Images - Hariharan Ravishankar; Rohan Patil; Vikram Melapudi; Parminder Bhatia; Taha A. Kass-Hout; Pavan Annangi (CoRR, 2023)

One-shot Localization and Segmentation of Medical Images with Foundation Models - Deepa Anand; Gurunath Reddy M; Vanika Singhal; Dattesh D. Shanbhag; K. S. Shriram; Uday Patil; Chitresh Bhushan; Kavitha Manickam; Dawei Gui; Rakesh Mullick; Avinash Gopal; Parminder Bhatia; et al. (CoRR, 2023)

The Biomedical Research Hub: a federated platform for patient research data - Craig Barnes; Binam Bajracharya; Matthew Cannalte; Zakir Gowani; Will Haley; Taha A. Kass-Hout; Kyle Hernandez; Michael Ingram; Hara Prasad Juvvala; Gina Kuffel; Plamen Martinov; J. Montgomery Maxwell; et al. (J. Am. Medical Informatics Assoc., 2022)

Improving Early Sepsis Prediction with Multi Modal Learning - Fred Qin; Vivek Madan; Ujjwal Ratan; Zohar Karnin; Vishaal Kapoor; Parminder Bhatia; Taha A. Kass-Hout (CoRR, 2021)

AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19 - Parminder Bhatia; Kristjan Arumae; Nima Pourdamghani; Suyog Deshpande; Ben Snively; Mona Mona; Colby Wise; George Price; Shyam Ramaswamy; Taha A. Kass-Hout (CoRR, 2020)

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning - Mengqi Jin; Mohammad Taha Bahadori; Aaron Colak; Parminder Bhatia; Busra Celikkaya; Ram Bhakta; Selvan Senthivel; Mohammed Khalilia; Daniel Navarro; Borui Zhang; Tiberiu Doman; Arun Ravi; et al. (CoRR, 2018)

Use of data mining at the Food and Drug Administration - Hesha J. Duggirala; Joseph M. Tonning; Ella Smith; Roselie A. Bright; John D. Baker; Robert Ball; Carlos Bell; Susan J. Bright-Ponte; Taxiarchis Botsis; Khaled Bouri; Marc Boyer; Keith Burkhart; et al. (J. Am. Medical Informatics Assoc., 2016)

OpenFDA: an innovative platform providing access to a wealth of FDA's publicly available data - Taha A. Kass-Hout; Zhiheng Xu; Matthew Mohebbi; Hans Nelsen; Adam Baker; Jonathan Levine; Elaine Johanson; Roselie A. Bright (J. Am. Medical Informatics Assoc., 2016)

Self-reported fever and measured temperature in emergency department records used for syndromic surveillance - Taha A. Kass-Hout; David L. Buckeridge; John S. Brownstein; Zhiheng Xu; Paul McMurray; Charles K. T. Ishikawa; Julia E. Gunn; Barbara L. Massoudi (J. Am. Medical Informatics Assoc., 2012)

Application of change point analysis to daily influenza-like illness emergency department visits - Taha A. Kass-Hout; Zhiheng Xu; Paul McMurray; Soyoun Park; David L. Buckeridge; John S. Brownstein; Lyn Finelli; Samuel L. Groseclose (J. Am. Medical Informatics Assoc., 2012)