Challenge on medical image registration addressing: learning from small datasets; estimating large deformations; dealing with multi-modal scans; and learning from noisy annotations
MICCAI HECKTOR 2022
Challenge
User
Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
SegRap 2023
Challenge
User
A segmentation challenge with 200 patients (two modalities of CT images, 45 OARs and 2 GTVs).
