[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

[MICCAI2023 Challenge] Liver Lesion Diagnosis Challenge on Multi-phase MRI

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

CL-Detection2023 Challenge Official Repository

Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

CL-Detection2023 Challenge Official Repository

MICCAI2023 - TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation

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

MICCAI2023: Artifact Restoration in Histology Images with Diffusion Probabilistic Models

OCELOT 2023: Cell Detection from Cell-Tissue Interaction

Official implementation of "ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising"

"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)

Official repository of MICCAI 2023 paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning

The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

PAMA: Position-aware masked autoencoder for histopathology WSI representation learning

[MICCAI 2023] "How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?" by Gregory Holste et al.

Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference

Official PyTorch Code of our MICCAI2023 paper OpenAL

Repository of the paper "Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation", presented at MICCAI 2023.

Contribution to the ToothFairy Challenge (MICCAI 2023).