Cocofeat

DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

EyeMoSt

【MICCAI 2023 Early Accept & MedIA submission】EyeMost "Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions"

IDBNet

【ASOC 2022】"An interactive dual-branch network for hard palate segmentation of the oral cavity from CBCT images"

MedRG

MedRG: Medical Report Grounding with Multi-modal Large Language Model

SAM-U

【MICCAI 2023 REMIA workshop】 SAM-U

TBraTS

【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"

TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

UIOS

【Nature Communications 2023】 Uncertainty-inspired open set learning for retinal anomaly identification

UML

【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".

UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Cocofeat/TBraTS

【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"

Cocofeat/DEviS

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

Cocofeat/EyeMoSt

【MICCAI 2023 Early Accept & MedIA submission】EyeMost "Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions"

Cocofeat/MedRG

MedRG: Medical Report Grounding with Multi-modal Large Language Model

Cocofeat/IDBNet

【ASOC 2022】"An interactive dual-branch network for hard palate segmentation of the oral cavity from CBCT images"

Cocofeat/TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

Cocofeat/UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Cocofeat/Awesome-Healthcare-Foundation-Models

Cocofeat/SAM-U

【MICCAI 2023 REMIA workshop】 SAM-U

Cocofeat/UIOS

【Nature Communications 2023】 Uncertainty-inspired open set learning for retinal anomaly identification

Cocofeat/UML

【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".

Cocofeat/CBIM-Medical-Image-Segmentation

Cocofeat/Coco2.github.io

My homepage

Cocofeat/Cocofeat

Cocofeat/Cocofeat.github.io

Coco's Personal Homepage

Cocofeat/ECNP

Code for the Evidential Conditional Neural Processes

Cocofeat/GMMSeg

[NeurIPS 2022] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Cocofeat/MedRPG

Cocofeat/PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

Cocofeat/ssd-pytorch

基于pytorch版ssd进行改进注入CBAM空间通道注意力机制，加入FPN，类别损失函数改为focalloss

Cocofeat/temperature_scaling

A simple way to calibrate your neural network.

Cocofeat/TMC

The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

Cocofeat/torchio

Medical imaging toolkit for deep learning

Cocofeat/UBenchmark

A benchmark for Uncertainty quantification

Cocofeat/uncertainty-aware-protein-structure-prediction

Cocofeat/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

Cocofeat/Uncertainty-DeepLearning

This repository contains a collection of surveys for predictive uncertainty estimation in deep learning models.

Cocofeat/uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization