Pinned Repositories
BA-Net-kidney
Code for [MLMI 2019] [KiPA22 Challenge] [AMOS 2022 Challenge] [MICCAI 2022 Workshop] Boundary-Aware Network for Medical Image Segmentation.
CTPelvic1K
Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
easyappointments
:date: Easy!Appointments - Self Hosted Appointment Scheduler
LightweightHL7Services
Very basic GUI to send & receive HL7 messages using HAPI
LungCancerScreeningRadiomics
Lung cancer screening radiomics
MarkerlessHNGTVTracking
Code used to create the results described in the paper "A conditional generative adversarial network approach for segmenting head and neck tumors in kV images acquired during radiation therapy"
matRad
An open source multi-modality radiation treatment planning sytem
nnUNet-totalseg
s4s-fhir-broker
This web application is part of the imaging extension to the NIH sync for science program. It accepts RESTful calls on behalf of an EHR and brokers them to existing PACS.
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT images
deeponcology's Repositories
deeponcology/HanSeg2023Algorithm
deeponcology/ohif-docker-compose
deeponcology/shepherd
Guide your users through a tour of your app
deeponcology/LungCancerScreeningRadiomics
Lung cancer screening radiomics
deeponcology/BA-Net-kidney
Code for [MLMI 2019] [KiPA22 Challenge] [AMOS 2022 Challenge] [MICCAI 2022 Workshop] Boundary-Aware Network for Medical Image Segmentation.
deeponcology/CTHeadDeformation
The CTHeadDeformation module is an open-sourced library for taking CT and cone-beam CT (CBCT) scans and deforming these scans in a way that simulates realistic head motion. Further information can be found in the repo wiki (https://github.com/ACRF-Image-X-Institute/CTHeadDeformation/wiki)
deeponcology/website
deeponcology/korthweb
Orthanc on Kubernetes
deeponcology/CDD-CESM-Dataset
This is a helper repository for the CDD-CESM Mammogram Dataset containing all the tools for pre-processing and segmentation models.
deeponcology/easyappointments
:date: Easy!Appointments - Self Hosted Appointment Scheduler
deeponcology/AI-Deep-Learning-Lab-2022
deeponcology/PETCTSeg
Automatic segmentation models for PET and CT scans
deeponcology/FHIR_ImageExam
deeponcology/MarkerlessHNGTVTracking
Code used to create the results described in the paper "A conditional generative adversarial network approach for segmenting head and neck tumors in kV images acquired during radiation therapy"
deeponcology/fastapi-celery-rabbitmq-application
Sample FastAPI Application to demonstrate Async architecture with Celery, RabbitMQ and Flower
deeponcology/LightweightHL7Services
Very basic GUI to send & receive HL7 messages using HAPI
deeponcology/DVH-Analytics
A DICOM Database Application for Radiation Oncology
deeponcology/CTPelvic1K
Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
deeponcology/aggregated-graphics-samples
A collection of exemplary graphics samples based on Magma and Vulkan API
deeponcology/overview_sct
Repository to collect all the references on generation of synthetic computed tomography (sCT) with deep learning/convolutional networks. Generated from Spadea MF, Maspero M et al Med. Phys. 2021
deeponcology/rgbd-kinect-pose
Demo for "Real-time RGBD-based Extended Body Pose Estimation" paper
deeponcology/liver-smart
Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.
deeponcology/cbis-ddsm-classifier
deeponcology/kaiju
A drag and drop web editor for React components.
deeponcology/RTDosePrediction-IMP
Automatic Radiotherapy Treatment Planning ， Knowledge-Based Planning ， Dose Prediction ， Cascade 3D Network (C3D) ，DCNN, Head and Neck , 1st Place Solution to the AAPM OpenKBP challenge
deeponcology/dicom-fhir-converter
Converts DICOM Resources to FHIR Resources
deeponcology/SliceTracker
SliceTracker is a 3D Slicer extension to support the workflow of MR-guided prostate biopsies.
deeponcology/CXR-LC-Old
Deep learning to predict incident lung cancer risk from chest radiograph images
deeponcology/LIDC-IDRI-Preprocessing
This is the preprocessing step of the LIDC-IDRI dataset
deeponcology/dvh-predict
Prediction of dose-volumes of the rectum, bladder and PTV for prostate cancer radiation therapy from volumes of rectum, bladder, PTV60 and PTV44 and overlap volumes using different regression methods.