Work

Report Supervision

Year: 2026

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2026.104257

Authors: Pedro R.A.S. Bassi, Wenxuan Li, Jakob Wasserthal, Jieneng Chen, Xinze Zhou, Zheren Zhu, Chuntung Zhuang, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan Yuille, Zongwei Zhou

Institutions: Harvard University, Johns Hopkins University, Massachusetts General Hospital, University Hospital of Basel, Stanford University, University of California, San Francisco, Italian Institute of Technology, École Polytechnique Fédérale de Lausanne, University of Bologna, Johns Hopkins Medicine

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Lustgarten Foundation, National Institutes of Health

Award: Automated Multi-Timepoint CT Analysis for Enhanced Metastatic Disease Evaluation in Colorectal Cancer: An Anatomy-Aware Vision-Language AI Approach

OpenAlex ID: W7203829626

FWCI:

Cites: 15

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