gunflame530

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pymethods

A library for coronary artery reconstruction from angriography, OCT + angiography, (specifically for CFD usage) statistical shape modelling, CFD mesh generation and surface unwrapping

Coronary-OCT-Image-Registration

Transformer-Graph-Network-for-Coronary-plaque-localization-in-CCTA

Transformer Graph Network for Coronary plaque localization in CCTA

dl_cta_calcium

DL-CTA coronary Agatston calcium scoring

coronary-mesh-convolution

Implementation accompanying our STACOM (MICCAI) 2021 paper (https://doi.org/10.1007/978-3-030-93722-5_11)

Space-Time-completion-of-Image

A impletion of Space-Time completion of Image

FFB6D

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

generalised-hough-transform

Applies Generalised Hough Transform to object detection in images.

Fast-Quadric-Mesh-Simplification

Mesh triangle reduction using quadrics

MONAI

AI Toolkit for Healthcare Imaging

MTCL

[MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning

FedMRI

【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

clDice

pygorpho

Python library for fast 3D mathematical morphology using CUDA

nnUnet-OnWindows

un nnUnet on Windows

Deep-Reinforced-Tree-Traversal

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Medical-Transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

optimesh

:spider_web: Mesh optimization, mesh smoothing.

SegLossOdyssey

A collection of loss functions for medical image segmentation

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

PlotNeuralNet

Latex code for making neural networks diagrams

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

Lung-Segmentation-Project

This project uses a process known as segmentation to extract individual lung components from CT scans such as the airway, bronchioles, outer lung structure, and cancerous growths. Mathematical descriptions of these objects can be used for AI research, such as predicting benign vs malignant tumors to prevent unnecessary and invasive cancer treatments, early recognition of tumors, and modeling the growth rate of tumors.

ct_lung_segmentation

Robust segmentation of lung and airway in CT scans

3d-airway-segmentation

3D airway segmentation method

bronchinet

Airway segmentation from chest CTs using deep Convolutional Neural Networks

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers