ai-med / quickNAT_pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
☆101Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for quickNAT_pytorch
- Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)☆62Updated 5 years ago
- Deep Whole Brain Segmentation Using SLANT Method☆110Updated 11 months ago
- Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000☆58Updated 2 years ago
- pytorch dataset class for reading and transforming NIfTI files☆62Updated 3 years ago
- A deep learning python package for neuroimaging data. Made by:☆125Updated 4 years ago
- (This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven…☆118Updated 5 years ago
- Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.☆46Updated last year
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆62Updated 3 months ago
- CONSNet: Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver Standard Masks☆17Updated 5 years ago
- NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.☆138Updated 2 years ago
- A project to provide custom sorting and renaming of dicom files☆74Updated 4 months ago
- Robust Brain Extraction Tool for CT Head Images☆44Updated 4 years ago
- Pre-trained models and utilities for deep learning on medical images in Python☆201Updated this week
- Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the …☆32Updated 3 years ago
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆32Updated 11 months ago
- Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net☆128Updated 5 years ago
- Library for generating images by sampling a GMM conditioned on label maps☆23Updated 7 months ago
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆51Updated last year
- Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation☆68Updated last year
- This extension makes available Elastix medical image registration toolkit (http://elastix.isi.uu.nl/) available in Slicer.☆49Updated 2 weeks ago
- ☆27Updated 2 years ago
- Deep Learning tools for brain medical images☆132Updated 3 months ago
- Computes vesselness scores for 3-dimensional images.☆70Updated 7 years ago
- Automated deep-learning based brain tumor segmentation on MRI☆26Updated 2 years ago
- Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation…☆55Updated 6 years ago
- A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.☆78Updated last year
- Brain Segmentation on MRBrains18☆45Updated 5 years ago
- Lung medical image analysis and visualisation software for Matlab.☆86Updated 10 months ago
- Automatic White Matter Bundle Segmentation☆229Updated last year
- Framework for the reproducible processing of neuroimaging data with deep learning methods☆162Updated last week