xmed-lab

CLIP_Surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

CLIPN

ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

GenericSSL

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

DHC

MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

CLD-Semi

MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

DIF-Net

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

AllSpark

CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

NuInstruct

GraphEcho

ICCV 2023, "GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation"

TriALS

nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for MICCAI 2024 segmentation challenges.

FDDM

MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

FSDiffReg

MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

UCVME

AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

CPR

MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

C2RV-CBCT

CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"

ECBM

ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

CSS-SemiVideo

IEEE TMI 2022: Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos

Fed-MAS

MICCAI Workshop 2023: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification

HCGNet

J-BHI 2024: Exploiting Hierarchical Interactions for Protein Surface Learning

RIDL

MICCAI 2023: Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

MSSG

MICCAI 2023: Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

DiffCMR

FoPro-KD

TMI 2023: FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

CLSS

SEDSkill

GL-Fusion

MICCAI 2023: GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

VDPL

Variance-Aware Domain-Augmented Pseudo Labeling for Semi-Supervised Domain Generalization on Medical Image Segmentation

DDAug

ICONIP 2023: Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation

M3-UDA

CVPR M^3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

MultiEYE