2 papers
eess.IV2026
An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation
Xiaofeng Liu, Qianru Zhang, Thibault Marin +4
The synergistic interpretation of anatomical information from computed tomography (CT) and metabolic information from positron emission tomography (PET) is important to oncologic i…
cs.CV2026
UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation
Shiv Ghosh, Junayd Lateef, Chih-Hua Liu +3
Brain tumor diagnosis is largely dependent on Magnetic Resonance Imaging (MRI) evaluation, which requires radiologists to synthesize thousands of images across multiple 3D sequence…