dental-imaging

Full CBCT + 2D radiograph viewer from a board-certified oral and maxillofacial radiologist: 8 reading modes, local-first, open source. Also the first viewer AI agents can drive natively (MCP).

🦷 Dental CAD designer web application for designing crowns, inlays/onlays and bridges from intraoral scans (STL/PLY) — React + Three.js viewer, Float64 TypeScript geometry kernel with manifold-3d WASM booleans, Fastify backend with independent export re-validation. 🚸 Under developement

This project leverages deep learning techniques to detect and predict various dental diseases from panoramic dental X-ray images (OPG - Orthopantomogram). It uses the YOLOv8 object detection model for localizing and identifying diseased regions, enabling automated screening and assistance for dental professionals.

End-to-end implementation of "CephLD-CCA: Cephalometric Landmark Detection with Cartesian Coordinate Channel Attention", released for reproducibility and reusability

Python viewer for .BPT tomography files with MPR, frontal MIP, and curved panoramic reconstruction

Automated system for tooth decay detection from intraoral images using CNN.

OHIF-based dental CBCT viewer with MPR ,CPR and panoramic reconstruction

Sistema de detección de 14 anomalías dentales con IA usando YOLOv8 - Herramienta web interactiva para asistir a odontólogos en el análisis de radiografías panorámicas. Incluye aplicación web con Streamlit, visualización interactiva y generación de reportes PDF.

Biomedical image analysis of dental radiographs using machine learning, deep learning, and computer vision techniques developed during a research internship at IISc Bangalore.

PyTorch Lightning implementation of a 5-class dental pathology segmentation system using a U-Net with a pre-trained ResNet34 backbone, joint Dice-CE loss, and power-law smoothed class weighting.

Research toolkit for physical-space CBCT first-molar furcation and transverse-width analysis, with nnU-Net integration, a CLI, Streamlit, and synthetic tests.

Radiographic risk features of lower third molars and the mandibular canal from annotated panoramic radiographs — Excel/CSV output, CLI, Docker, no GPU needed.

UNet-EfficientNet pipeline for automated crown–apex detection and dental working length estimation from periapical X-rays.

Privacy-first Python toolkit for reproducible dental X-ray dataset inspection and DICOM de-identification.

Windows UVC intraoral camera preview and photo capture utility

Flask web app that runs a custom-trained YOLO model on dental X-rays and returns one annotated image per detected finding, with Postgres-backed accounts.

High-end intraoral scan classification using Deep Learning. A professional clinical tool for automated dental diagnostics with a premium UI/UX.

Bondent (博恩登特) — independent third-party profile of a public API surface, by API Evangelist. Bondent (博恩登特, Bondent Group / 博恩集团) is a Chinese oral-healthcare technology company that provides an integrated, digitalized platform and hardware for dental clinics. It develops and manufactures its own clinical equipment — oral CBCT / CT imaging (Bojue s

Supervised machine learning on dental X‑ray images: regression and classification models with cross‑validation and evaluation (Jupyter notebooks).