ohif-viewer

OHIF Viewer and Orthanc (core with plugins) defined as docker-compose services

Built an end-to-end AI system which features a deep learning algorithm that integrates into a clinical-grade viewer and automatically measures hippocampal volumes of new patients, as their studies are committed to the clinical imaging archive.

Modified OHIF Viewer with an extension for call an API who perform AI and create RTStruct for DICOMS instances

⚕ Orthanc + OHIF + Authorization

A full web based medical image viewer

DICOM Web viewer Use Cornerstone Libarary

API for apply AI model on DICOMS files with a dicom web server (orthanc for demo)

OHIF Viewer with OpenID-Protected PACS Server (Orthanc)

MORDENT.AI is an automated platform for cephalometric landmark detection and orthodontic analysis that leverages deep learning and graph neural networks. It integrates smoothly with clinical workflows through a DICOM viewer and medical image management system, enabling efficient and accurate orthodontic diagnosis and treatment planning.

A production-oriented medical imaging workflow platform for ingesting, converting, de-identifying, cataloging, and viewing DICOM studies with a modern Next.js application shell, a FastAPI control plane, Orthanc DICOMweb archive integration, background processing workers, and the latest stable OHIF viewer.

🧠 3D MEDICAL IMAGE SEGMENTATION 🧠 FDA VALIDATION PLAN 🧠 Curate a dataset of brain MRIs, train a segmentation on a CNN, and integrate this into a clinical network to quantify hippocampal volume for Alzheimer's progression 🧠

The project studies whether synthetic PHI can be injected into ultrasound DICOM studies, removed by candidate de-identification pipelines, and evaluated for both privacy success and downstream segmentation utility—without requiring real patient data.

Command line tool for interacting with OHIF via XNAT REST.

OIDC Proxy