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papers

Publications (44)

cs.CL2023

PMC-LLaMA: Towards Building Open-source Language Models for Medicine

Chaoyi Wu, Weixiong Lin, Xiaoman Zhang +3

cs.CV2024

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis

Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao +4

cs.CV2024

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology

Xiao Zhou, Xiaoman Zhang, Chaoyi Wu +3

eess.IV2024

AutoRG-Brain: Grounded Report Generation for Brain MRI

Jiayu Lei, Xiaoman Zhang, Chaoyi Wu +6

cs.CV2024

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao +4

cs.CV2026

A Vision-language Framework for Comparative Reasoning in Radiology

Tengfei Zhang, Ziheng Zhao, Xiaoman Zhang +5

cs.CV2025

3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models

Sraavya Sambara, Sung Eun Kim, Xiaoman Zhang +5

cs.AI2026

A systematic evaluation of vision-language models for observational astronomical reasoning tasks

Wenke Ren, Hengxiao Guo, Wenwen Zuo +1

nlin.PS2022

Phase Characters of Optical Dark Solitons with the Third-order Dispersion and Delayed Nonlinear Response

Yan-Hong Qin, Xiaoman Zhang, Liming Ling +1

cs.CV2021

Uncertainty-aware Incremental Learning for Multi-organ Segmentation

Yuhang Zhou, Xiaoman Zhang, Shixiang Feng +2

cs.CV2021

SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

Xiaoman Zhang, Shixiang Feng, Yuhang Zhou +2

cs.CV2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Ziyuan Zhao, Xiaoman Zhang, Cen Chen +6

eess.IV2025

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports

Mohammed Baharoon, Luyang Luo, Michael Moritz +22

cs.CV2023

K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging

Chaoyi Wu, Xiaoman Zhang, Yanfeng Wang +2

cs.CV2025

ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges

Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar

cs.RO2026

Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following

Xucheng Wang, Zhizhou Yang, Xiaoman Zhang +3

cs.CV2024

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang +5

cs.AI2024

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs

Xiaoman Zhang, Julián N. Acosta, Hong-Yu Zhou +1

cs.CV2021

Self-supervised Tumor Segmentation through Layer Decomposition

Xiaoman Zhang, Weidi Xie, Chaoqin Huang +4

cs.AI2024

ReXplain: Translating Radiology into Patient-Friendly Video Reports

Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang +7

cs.CV2023

Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis

Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng +8

cs.CV2021

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

Shixiang Feng, Yuhang Zhou, Xiaoman Zhang +2

cs.CV2026

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding

Oishi Banerjee, Sung Eun Kim, Alexandra N. Willauer +9

cs.CL2026

An Agentic System for Rare Disease Diagnosis with Traceable Reasoning

Weike Zhao, Chaoyi Wu, Yanjie Fan +10

cs.CV2025

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping

Dexuan He, Xiao Zhou, Wenbin Guan +11

cs.CV2023

Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images

Xiaoman Zhang, Chaoyi Wu, Ya Zhang +2

eess.IV2023

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology

Chaoyi Wu, Xiaoman Zhang, Ya Zhang +2

cs.AI2024

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation

Julián N. Acosta, Xiaoman Zhang, Siddhant Dogra +5

cs.CV2024

Large-scale Long-tailed Disease Diagnosis on Radiology Images

Qiaoyu Zheng, Weike Zhao, Chaoyi Wu +7

cs.CV2023

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Weixiong Lin, Ziheng Zhao, Xiaoman Zhang +4

cs.CV2025

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Ankit Pal, Jung-Oh Lee, Xiaoman Zhang +5

cs.CL2024

RaTEScore: A Metric for Radiology Report Generation

Weike Zhao, Chaoyi Wu, Xiaoman Zhang +3

cs.HC2025

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment

Julian Acosta, Scott Adams, Julius Kernbach +7

cs.CL2024

Towards Building Multilingual Language Model for Medicine

Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang +5

cs.CL2026

Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?

Grace Chang Yuan, Xiaoman Zhang, Sung Eun Kim +1

cs.CV2023

Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Chaoyi Wu, Xiaoman Zhang, Ya Zhang +2

physics.plasm-ph2026

DustNET: enabling machine learning and AI models of dusty plasmas

Zhehui Wang, Justin C. Burton, Niklas Dormagen +30

cs.CV2026

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

Xucheng Wang, Xiaoman Zhang, Sung Eun Kim +2

eess.IV2025

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Xiaoman Zhang, Julián N. Acosta, Josh Miller +2

cs.CV2025

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

Alice Heiman, Xiaoman Zhang, Emma Chen +2

cs.CV2019

A Deep Framework for Bone Age Assessment based on Finger Joint Localization

Xiaoman Zhang, Ziyuan Zhao, Cen Chen +6

eess.IV2025

Large-Vocabulary Segmentation for Medical Images with Text Prompts

Ziheng Zhao, Yao Zhang, Chaoyi Wu +5

cs.CV2023

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training

Jiayu Lei, Lisong Dai, Haoyun Jiang +9

cs.LG2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen +90