collaborators

15 papers

cs.CV2026

Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Max A. Nelson, Eminenur Sen Tasci, Zhixiang Wang +12

Pancreatic cancer is among the most lethal malignancies; risk stratification of intraductal papillary mucinous neoplasms (IPMNs) offers a crucial opportunity for early intervention…

cs.CV2026

BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases

Qi Chen, Wenxuan Li, Pedro R. A. S. Bassi +14

Artificial intelligence (AI) has achieved remarkable success in medical imaging, but it is widely recognized that these models often perform inconsistently across real-world clinic…

cs.CV2026

Beyond Masks: The Case for Medical Image Parsing

Siddharth Gupta, Alan L. Yuille, Zongwei Zhou

Medical imaging research has spent a decade getting very good at one thing: producing per-voxel masks. Masks tell us size, volume, and location, and a decade of clinical infrastruc…

cs.CV2026

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology

Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou +3

Cancer screening is a reasoning task. A radiologist observes findings, compares them to prior scans, integrates clinical context, and reaches a diagnostic conclusion confirmed by p…

cs.CV2026

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents

Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi +7

Medical vision-language models (VLMs) and AI agents have made significant progress in learning to analyze and reason about clinical images. However, existing medical visual questio…

cs.CV2026

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

Junqi Liu, Xinze Zhou, Wenxuan Li +10

Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clin…