eggerjan's Stars
Project-MONAI/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
cgsaxner/HoloLens2-Unity-ResearchModeStreamer
Jianningli/medshapenet-feedback
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
fhirpack/fhirpack
FHIR Python Analysis Client and Kit (FHIRPACK) is a general purpose FHIR client that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a functional syntax. It was initially developed at the IKIM and HDDBS in Germany. Read more at https://zenodo.org/record/8006589
cgsaxner/HL2ToolTracking
GLARKI/MedShapeNet2.0
MedShapeNet 2.0 | A Large-scale Dataset of 3D Medical Shapes | An updated version of MedShapeNet 1.0
Jianningli/autoimplant
A Baseline Approach for the AutoImplant Challenge
ShadowTwin41/BraTS_2023_2024_solutions
Faking_it team! BraTS submissions.
jrHoss/MedShapeNet-Foundation-Model
A MedShapeNet Foundation Model: Learning-Based Multi-Modal Medical Point Cloud Completion
LLindn/Synthetic-Brain-Tumor_Data-Generation
Generation of Training Data for Brain Tumor Segmentation via MeVisLab
ritaamorais/skull-complete
MSc Thesis Project - "Computer-aided Design of Cranial Implants: A Deep learning Approach"
code-lukas/Spacewalker
simon-gunacker/vive
A MeVisLab-plugin for visualizing medical data in Virtual Reality
xjchen/igyne
iGyne
bscharinger/Thesis
TIO-IKIM/MOMO_Submission_Code
Submission Code for "Deep Learning-driven classification of external DICOM studies for PACS archivation"
birgitPf/Data_Generation
Lower Jawbone Data Generation for Deep Learning Tools under MeVisLab
cgsaxner/DataPrep_UBsegmentation
MeVisLab Macro Module for Preperation of Training Data for Urinary Bladder Segmentation
eggerjan/igyne
eggerjan/vive
li-jianning/evaluation_metrics
li-jianning/ttest
MMV-Lab/ISH3DE
NikooMoradi/HNTSMRG24_team_TUMOR