GitAlbMN

GitAlbMN's Stars

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k343312.3k

• MIC-DKFZ/nnUNet

  Language:Python5.9k752.1k1.8k

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.4k3338145

• wasserth/TotalSegmentator

  Tool for robust segmentation of >100 important anatomical structures in CT and MR images

  Language:Python1.5k26349253

• BBillot/SynthSeg

  Contrast-agnostic segmentation of MRI scans

  Language:Python37588495

• MECLabTUDA/M3d-Cam

  Language:Python31372940

• MIC-DKFZ/TractSeg

  Automatic White Matter Bundle Segmentation

  Language:Python2291427375

• ENHANCE-PET/MOOSE

  MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

  Language:Python19377028

• BBillot/SynthSR

  A framework for joint super-resolution and image synthesis, without requiring real training data

  Language:Python14571823

• saalfeldlab/paintera

  Language:Java1001127517

• MIC-DKFZ/MITK-Diffusion

  MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

  Language:C++7961315

• MASILab/PreQual

  An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

  Language:Python441108

• softmatterlab/DeepTrack

  Language:Jupyter Notebook3710713

• braph-software/BRAPH-2

  BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

  Language:MATLAB33364812

• jondeuce/DECAES.jl

  DEcomposition and Component Analysis of Exponential Signals (DECAES) - a Julia implementation of the UBC Myelin Water Imaging (MWI) toolbox for computing voxelwise T2-distributions of multi spin-echo MRI images.

  Language:Julia323105

• KUL-Radneuron/KUL_VBG

  A workflow to allow Freesurfer recon-all to run on brain image with gliomas

  Language:Shell283104

• michalkoziarski/DiagSet

  DiagSet: a dataset for prostate cancer histopathological image classification

  Language:Python282104

• neurabenn/T1ify

  Applying style transfer to convert multi-modal MRI images to have a T1 like contrast.

  Language:Jupyter Notebook266012

• BIOP/IPA4LSx

  ImageJ Macro Scripts showcased during Image Processing and Analysis for Life Scientists MOOC on EdX

  257116

• Chaogan-Yan/BrainImageNet

  Language:Python20229

• treanus/KUL_NIS

  KUL/UZ NeuroImaging Suite. A set of tools for brain and spine MRI analysis.

  Language:Shell153611

• wulalago/FetalCPSeg

  A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

  Language:Python15324

• jondeuce/mwiexamples

  Repository containing example usage of the DEcomposition and Component Analysis of Exponential Signals (DECAES) tool.

  Language:MATLAB12304

• ejcanalesr/multicomponent-T2-toolbox

  Non-parametric T2 relaxometry methods for myelin water quantification

  Language:Python9136

• daviddmc/open-fetal-mri

  awesome open source tools for fetal MRI analysis

  7101

• KUL-Radneuron/KUL_FWT

  Automated tractography using MRTrix3 CSD based on subject-specific parcellations from FreeSurfer and MultiScaleBrainParcellator

  Language:Shell7225

• jalexnoel/ADID-UNET

  A new segment depth network for COVID-19 lung CT scans, Attention Gate-Dense Network- Improved Dilation Convolution-UNET (ADID-UNET)

  6201

• manasikattel/chest_ct_registration

  This repository contains the code for registration of Chest CT done with inspiratory and expiratory breath-hold CT image pairs. The dataset used is COPDGene dataset. The dataset has landmarks for all the inhale-exhale image pairs which are used to calculate the registration error.

  Language:Python5100

• JH-415/HL-HGAT

  Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian

  Language:Jupyter Notebook1101

• XU-YaoKun/psoas_major_muscle_segmentation

  psoas-major muscle segmentation

  Language:Python1101