collaborators

20 papers

cs.CV2026

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao +27

Foundation models have emerged as a driving force in computational pathology, with the potential to transform cancer diagnosis, prognosis, and treatment selection by learning trans…

cs.AI2026

Building Agent Harnesses for Scientific Curation from Multimodal Sources

Sheng Zhang, Qin Liu, Renqian Luo +9

The paper introduces Beaver, an agent harness that extracts structured scientific information from papers by integrating text, tables, and figures while preserving provenance, and…

cs.CV2026

MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models

Hyunjae Kim, Dain Kim, Pan Xiao +25

Medicine is inherently multimodal, requiring clinicians to synthesize information across diverse data streams. Yet the development of multimodal foundation models is constrained by…

cs.AI2026

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

Qianchu Liu, Sheng Zhang, Guanghui Qin +16

As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous and holistic evaluation is essential for measuring progress toward real-world healthcare appli…

cs.CV2026

Video Models Can Reason with Verifiable Rewards

Tinghui Zhu, Sheng Zhang, James Y. Huang +5

Video diffusion models have made rapid progress in perceptual realism and temporal coherence, but they remain primarily optimized for plausible generation rather than verifiable re…

cs.AI2026

CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents

Timothy Ossowski, Xinchi Liu, Danyal Maqbool +6

Clinical reasoning agents based on large language models (LLMs) aim to automate tasks such as intensive care unit (ICU) monitoring and patient state tracking from electronic health…