[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
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Updated
Mar 27, 2024 - Python
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
[MICCAI 2023] 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
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
CL-Detection2023 Challenge Official Repository
CL-Detection2023 Challenge Official Repository
MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
Official implementation of "ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising"
MICCAI2023 - TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
MICCAI2023: Artifact Restoration in Histology Images with Diffusion Probabilistic Models
"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Official repository of MICCAI 2023 paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning
Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference
[MICCAI 2023] "How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?" by Gregory Holste et al.
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
Official PyTorch Code of our MICCAI2023 paper OpenAL
MICCAI2023 -- Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography
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).
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