Taha A. Kass-Hout

According to our database, Taha A. Kass-Hout authored at least 28 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decipher-MR: a vision-language foundation model for 3D MRI representations.

Zhijian Yang, Noel DSouza, István Megyeri, Xiaojian Xu, Amin Honarmandi Shandiz, Farzin Haddadpour, Krisztian Koos, László Ruskó, Emanuele Valeriano, Bharadwaj Swaminathan, Lei Wu, Parminder Bhatia, Taha A. Kass-Hout, Erhan Bas

npj Digit. Medicine, 2026

2025

ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training.

Chenliang Li, Adel Elmahdy, Alex Boyd, Zhongruo Wang, Alfredo García, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Mingyi Hong

CoRR, November, 2025

Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes.

Alex Boyd, Andrew Warrington, Taha A. Kass-Hout, Parminder Bhatia, Danica Xiao

CoRR, November, 2025

MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images.

Sicheng Zhou, Lei Wu, Cao Xiao, Parminder Bhatia, Taha A. Kass-Hout

CoRR, October, 2025

Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations.

Zhijian Yang, Noel DSouza, István Megyeri, Xiaojian Xu, Amin Honarmandi Shandiz, Farzin Haddadpour, Krisztian Koos, László Ruskó, Emanuele Valeriano, Bharadwaj Swaninathan, Lei Wu, Parminder Bhatia, Taha A. Kass-Hout, Erhan Bas

CoRR, September, 2025

Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector.

Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha A. Kass-Hout

CoRR, May, 2025

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, March, 2025

Deep Continuous-Time State-Space Models for Marked Event Sequences.

Yuxin Chang, Alex Boyd, Cao (Danica) Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs.

Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images.

Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning.

Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations.

Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Linear Hawkes Processes.

Yuxin Chang, Alex Boyd, Cao Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

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

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

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, Taha A. Kass-Hout

CoRR, 2023

SonoSAM - Segment Anything on Ultrasound Images.

Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi

CoRR, 2023

2022

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, John McCann, Ankit Malhotra, Noah Metoki-Shlubsky, Chris Meyer, Andre Paredes, Jawad Qureshi, Xenia Ritter, Philip Schumm, Mingfei Shao, Urvi Sheth, Trevar Simmons, Alexander Vantol, Zhenyu Zhang, Robert L. Grossman

J. Am. Medical Informatics Assoc., 2022

2021

Improving Early Sepsis Prediction with Multi Modal Learning.

Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar S. Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout

CoRR, 2021

2020

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

2018

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, Matthieu Liger, Taha A. Kass-Hout

CoRR, 2018

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

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, G. Steven Condrey, James J. Chen, Stuart Chirtel, Ross W. Filice, Henry Francis, Hongying Jiang, Jonathan Levine, David Martin, Taiye Oladipo, Rene O'Neill, Lee Anne M. Palmer, Antonio Paredes, George Rochester, Deborah Sholtes, Ana Szarfman, Hui-Lee Wong, Zhiheng Xu, Taha A. Kass-Hout

J. Am. Medical Informatics Assoc., 2016

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

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