MIRACLE-Center's repositories
CTPelvic1K
Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
YOLO_Universal_Anatomical_Landmark_Detection
[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657
Oneshot_landmark_detection
Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)
Partially-supervised-multi-organ-segmentation
code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation
High-Resolution-Chest-X-ray-Bone-Suppression
Code of High-Resolution Chest X-ray Bone Suppression Using Unpaired CT Structural Priors
Hierarchical_Feature_Constraint
MICCAI 2021 (early accpted), offical code for "A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks"
UOD_universal_oneshot_detection
[MICCAI 2023] UOD: universal oneshot detection of anatomical landmarks. https://arxiv.org/abs/2306.07615