MedicalImageAnalysisTutorials's repositories
ImageRegistrationTutorial
This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!
SlicerCochlea
Multi-modal cochlea Images registration, segmentation and analysis
MutualInformationTutorial
A simple tutorial of mutual information for images
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT images
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
SlicerNotebooks
Examples that illustrate how to use 3D Slicer via Jupyter notebooks in Python
abdominal_registration
Deep learning based registration for Learn2Reg Challenge (Task 3 : CT Abdominal)
ADLReg
Our(team: winter) solutions for MICCAI Learn2Reg 2021.
BezierInfo-2
The development repo for the Primer on BĂ©zier curves, https://pomax.github.io/bezierinfo
DeepReg
Medical image registration using deep learning
ElastixModelZoo
Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix
FaceDetection
Face Detection using ViolaJones on the CBCL Face Database
ITKElastix
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
SlicerSegmentationRecipes
Recipes for common medical image segmentation tasks using 3D Slicer
SlicerTotalSegmentator
Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model
transforms3d
3 dimensional spatial transformations
UniverSeg
UniverSeg: Universal Medical Image Segmentation
Unpaired_MR_to_CT_Image_Synthesis
Whole-body MR to CT image mapping
Unsupervised-Domain-Adaptation-Framework-for-Vestibular-Schwannoma-and-Cochlea-Segmentation
An improved framework that performs domain adaptation on Vestibular Schwannomas and cochlea segmentation
verse
Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020
VisSimData
models and sample datasets needed for Slicer VisSim extensions
YOLOv8-Medical-Imaging
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.