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Code for paper: STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
RADIS (Radiology Report Archive and Discovery System) is an innovative open-source web application developed by our team to enhance the management, retrieval, and analysis of radiology reports with…
Reading list for research topics in multimodal machine learning
The official start-up code for paper "FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark."
A collection of resources on applications of multi-modal learning in medical imaging.
source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
A curated list of foundation models for vision and language tasks in medical imaging
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
A mulit-modal annotation tool for retinal imaging data
Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.
This is an example demo on how to enhance low-field MRI by means of the simulated HCP data.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss
Our entry to the JustRAIGS challenge on justifiable glaucoma prediction
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Machine Learning Engineering Open Book
MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images