MIC-DKFZ / image-time-series
Code for deep learning-based glioma/tumor growth models
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for image-time-series
- This repository contains code used to prepare the LUMIERE Glioblastoma dataset.☆18Updated 9 months ago
- PyTorch implementation of HighRes3DNet☆48Updated last year
- ☆18Updated 3 years ago
- pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis☆59Updated last month
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.☆30Updated last week
- ☆22Updated 2 years ago
- A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI☆15Updated last year
- Docker for running stroke lesion core segmentation☆29Updated 3 years ago
- Medical Image Analysis Lab (MIALab), University of Bern☆26Updated 5 months ago
- Learning joint Segmentation of Tissues And Brain Lesions (jSTABL) from task-specific hetero-modal domain-shifted datasets☆13Updated 9 months ago
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆26Updated 2 years ago
- ☆23Updated last year
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆27Updated last year
- ☆16Updated 7 months ago
- TarGAN - Official PyTorch Implementation (MICCAI 2021)☆22Updated 3 years ago
- A toolkit for fetal brain localization and segmentation using deep learning☆20Updated 5 years ago
- Official PyTorch implementation of InExtremIS☆22Updated 3 years ago
- A deep learning-based fully unsupervised method for cardiac tagging MRI motion tracking.☆51Updated 5 months ago
- Multitask Brain Tumor Inpainting with Diffusion Models☆31Updated last year
- Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.☆19Updated last month
- Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural networ…☆33Updated 4 years ago
- Model-based super-resolution of medical images in PyTorch.☆75Updated last year
- Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al☆22Updated last year
- Python implementation of the STAPLE segmentation algorithm☆24Updated last year
- Medical images I/O python package☆34Updated last year
- Robust Brain Extraction Tool for CT Head Images☆44Updated 4 years ago
- Image, point set, and surface registration in PyTorch.☆26Updated last month
- Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simul…☆14Updated 4 months ago