rrr-uom-projects / contour_auto_QAToolLinks
Public code repository to reproduce our MICCAI 2022 paper: "Automatic identification of segmentation errors for radiotherapy using geometric learning" (ID: 1361) Pre-print: https://arxiv.org/abs/2206.13317
☆11Updated 2 years ago
Alternatives and similar repositories for contour_auto_QATool
Users that are interested in contour_auto_QATool are comparing it to the libraries listed below
Sorting:
- This repository collates the models for CT to MRI synthesis. MRIs have benefits over CTs: they have better soft tissue contrast and regis…☆19Updated 7 months ago
- Convert CBCT images to CT like images☆39Updated 5 years ago
- Develop plan optimization models for knowledge-based planning in radiotherapy☆21Updated 9 months ago
- Convert numpy mask to dicom rtstruct☆12Updated 2 years ago
- ☆15Updated 7 months ago
- Preprocessing scripts: from dicom to aligned nitfy for SynthRAD2023 Grand Challenge☆68Updated 2 years ago
- A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI☆16Updated 2 years ago
- [SegRap2023&MedIA2025]A challenge about organ-at-risk and gross-tumor-volume segmentation in adaptive radiotherapy hosted on MICCAI2023.☆30Updated 7 months ago
- AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction☆15Updated 8 months ago
- Example of evaluation metrics used in the SynthRAD2023 challenge☆11Updated 2 years ago
- ☆42Updated 2 years ago
- Trained with just raw 3D volumes, a single Sli2Vol model can be used to propagate a single-slice annotation to the whole 3D volume, for a…☆26Updated 2 years ago
- Landmark detection engine for 3D medical images (MICCAI workshop 2021)☆46Updated last month
- A python (Pytorch) implementation of Beam Dose Decomposition for Dose Prediction [MICCAI 2022]☆26Updated last year
- This is the official Pytorch implementation of "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative a…☆44Updated 2 years ago
- TMI dose prediction☆10Updated 4 years ago
- ☆23Updated 3 years ago
- [IEEE-TMI'23] TaG-Net: Topology-aware Graph Network for Centerline-based Vessel Labeling☆42Updated last year
- Code for the paper "Analysis and comparison of cycle-consistent adversarial networks for CBCT to CT translation for adaptive radiotherapy…☆17Updated last year
- MRI-based Deep Learning Segmentation and Radiomics of Sarcoma Tumors in Mice☆16Updated 2 years ago
- The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…☆40Updated 2 years ago
- DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy☆29Updated 5 months ago
- nnUNetv2 adapted for image-to-image translation☆19Updated last month
- Tool for robust segmentation of >100 important anatomical structures in CT images☆21Updated last year
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆37Updated 2 years ago
- Convert the TotalSegmentator dataset into the nnUNet format☆17Updated 2 years ago
- Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"☆60Updated last month
- Quantitative Error Prediction of Medical Image Registration using Regression Forests☆22Updated 3 years ago
- Research Paper - Automated Labelling of Coronary Vessels via Neural Network☆10Updated 4 years ago
- [MIDL 2021] Learning Diffeomorphic and Modality-invariant Registration using B-splines☆45Updated last year