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MIRACLE-Center

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CTSpine1K

A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

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)

DuDoNet

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

CXIQ

Code and Dataset for 'Perceptual Quality Assessment of ChestRadiograph'

A3D_SATr

Code of SATr: Slice Attention with Transformer for Universal Lesion Detection

Hierarchical_Feature_Constraint

MICCAI 2021 (early accpted), offical code for "A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks"

MARSS24-Unity-101

Film-Recovery

BM_MVP