MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Faking_it team! BraTS submissions.

MedShapeNet 2.0 | A Large-scale Dataset of 3D Medical Shapes | An updated version of MedShapeNet 1.0

A MedShapeNet Foundation Model: Learning-Based Multi-Modal Medical Point Cloud Completion

Implementations of recent research prototypes/demonstrations using MONAI.

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 fu…

Submission Code for "Deep Learning-driven classification of external DICOM studies for PACS archivation"

A Baseline Approach for the AutoImplant Challenge

MSc Thesis Project - "Computer-aided Design of Cranial Implants: A Deep learning Approach"

Generation of Training Data for Brain Tumor Segmentation via MeVisLab

MeVisLab Macro Module for Preperation of Training Data for Urinary Bladder Segmentation

Lower Jawbone Data Generation for Deep Learning Tools under MeVisLab

A MeVisLab-plugin for visualizing medical data in Virtual Reality

iGyne