Zongwei Zhou

Merlin Plus: A Large-Scale, Multi-Cancer, Image-Mask-Report Dataset

Pedro R. A. S. Bassi, Wenxuan Li, Szymon Plotka +10

Multi-cancer segmentation in computed tomography (CT) is fundamentally limited by the scarcity of tumor masks across different organs. We present Merlin Plus, the first large-scale…

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…

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…

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…

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…

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…

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…

Large-Scale Label Quality Assessment for Medical Segmentation via a Vision-Language Judge and Synthetic Data

Yixiong Chen, Zongwei Zhou, Wenxuan Li +1

Large-scale medical segmentation datasets often combine manual and pseudo-labels of uneven quality, which can compromise training and evaluation. Low-quality labels may hamper perf…

Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges

Ariel Lubonja, Pedro R. A. S. Bassi, Wenxuan Li +4

Open challenges have become the de facto standard for comparative ranking of medical AI methods. Despite their importance, medical AI leaderboards exhibit three persistent limitati…

See More, Change Less: Anatomy-Aware Diffusion for Contrast Enhancement

Junqi Liu, Zejun Wu, Pedro R. A. S. Bassi +15

Image enhancement improves visual quality and helps reveal details that are hard to see in the original image. In medical imaging, it can support clinical decision-making, but curr…

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data

Qi Chen, Xinze Zhou, Chen Liu +11

AI for tumor segmentation is limited by the lack of large, voxel-wise annotated datasets, which are hard to create and require medical experts. In our proprietary JHH dataset of 3,…

Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks

Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li +20

Early tumor detection save lives. Each year, more than 300 million computed tomography (CT) scans are performed worldwide, offering a vast opportunity for effective cancer screenin…

Learning Segmentation from Radiology Reports

Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen +8

Tumor segmentation in CT scans is key for diagnosis, surgery, and prognosis, yet segmentation masks are scarce because their creation requires time and expertise. Public abdominal…

PanTS: The Pancreatic Tumor Segmentation Dataset

Wenxuan Li, Xinze Zhou, Qi Chen +15

PanTS is a large-scale, multi-institutional dataset curated to advance research in pancreatic CT analysis. It contains 36,390 CT scans from 145 medical centers, with expert-validat…

ShapeKit

Junqi Liu, Dongli He, Wenxuan Li +3

In this paper, we present a practical approach to improve anatomical shape accuracy in whole-body medical segmentation. Our analysis shows that a shape-focused toolkit can enhance…