icometrix / gmm-augmentationLinks
☆22Updated 4 years ago
Alternatives and similar repositories for gmm-augmentation
Users that are interested in gmm-augmentation are comparing it to the libraries listed below
Sorting:
- This repository contains code used to prepare the LUMIERE Glioblastoma dataset.☆32Updated last year
- Code for implementation of Unlearning Scanner Bias for MRI Harmonisation☆29Updated 4 years ago
- ☆23Updated 3 years ago
- ☆11Updated 2 years ago
- ☆30Updated 3 years ago
- Docker for running stroke lesion core segmentation☆29Updated 4 years ago
- [ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates☆50Updated 2 years ago
- [MICCAI 2019] Official implementation of the paper "DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractograph…☆17Updated 5 years ago
- ☆26Updated 2 years ago
- A UNet for the analysis of perfusion CT imaging in the setting of acute ischemic stroke.☆17Updated 6 months ago
- Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simul…☆17Updated last year
- A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI☆16Updated 2 years ago
- A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.☆83Updated 2 years ago
- RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)☆26Updated 5 years ago
- The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow too…☆29Updated 2 years ago
- Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.☆79Updated last year
- Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000☆60Updated 3 years ago
- Automated deep-learning based brain tumor segmentation on MRI☆35Updated 3 years ago
- Code for deep learning-based glioma/tumor growth models☆27Updated 3 years ago
- DeepBleed: 3D Volumetric Intracranial Hemorrhage Segmentation for Clinical Trials☆29Updated last year
- This is the official Pytorch implementation of "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative a…☆44Updated 2 years ago
- TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.☆70Updated last year
- Self-supervised Longitudinal Neighbourhood Embedding (LNE), MICCAI2021 & Speicial Issue on Medical Image Analysis☆33Updated 2 years ago
- PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…☆105Updated 4 years ago
- Repository of hand corrected skullstripping for the Enhanced Rockland Sample Neurofeedback Study☆19Updated 4 years ago
- Robust Brain Extraction Tool for CT Head Images☆49Updated 5 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆59Updated 2 years ago
- PyTorch implementation of HighRes3DNet☆55Updated 3 months ago
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆36Updated 7 months ago
- Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the …☆37Updated 4 years ago