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Dental Restoration using a Multi-Resolution Deep Learning Approach

Published in SPIE. Digital Library, here’s an article published by our team explaining how our work in dental AI, through semi-supervised segmentation, improves the generalization of currently available deep learning segmentation model on 3D dental arches by introducing a new loss function to leverage unlabeled available data. Dental offices tackle thousands of dental reconstructions every […]

Semi-supervised segmentation of tooth from 3D scanned dental arches

Published in SPIE. Digital Library, here’s an article published by our team explaining how our work in dental AI, through semi-supervised segmentation, improves the generalization of currently available deep learning segmentation model on 3D dental arches by introducing a new loss function to leverage unlabeled available data. Dental offices tackle thousands of dental reconstructions every […]

Improving the quality of dental crown using a transformer-based method

Here’s a paper on SPIE. Medical Library published by our team. Designing a synthetic crown is a time-consuming, inconsistent, and labor-intensive process. In this work, we present a fully automatic method that not only learns human design dental crowns, but also improves the consistency, functionality, and esthetic of the crowns. Following success in point cloud […]

3D generation of dental crown bottoms using context learning

Here’s a publication in SPIE. Medical Imaging, presented by one of our researchers, Imane Chafi, who is a PhD student at Polytechnique Montreal currently developing ML models for dental restoration and evaluation. Her research interests are in medical imaging, 3D shape generation and multimodal matching. The generation of valid and realistic dental crown bottoms plays […]

MC-Net: Mesh Completion for Dental Scans

Abstract — Dental centers need to design hundreds of dental crowns per year using computer assisted design (CAD) software. Typically, technicians manually modify a template shape to create crowns. That process requires a lot of time and experience to be done correctly, which leads to great variability in quality. In recent years, many deeplearning methods […]

From Mesh Completion to AI Designed Crown

Publication in Springer Link describing our project and its importance in the dental profession for the generation of the perfect dental crown using artificial intelligence. You may read the abstract and the full publication on Springer Link.

Improving the quality of dental crown using a transformer-based method

Article published by our team in SPIE. Digital Library explaining our project’s contribution to the design and creation of synthetic dental crowns. In this publication, we present a fully automatic method that not only learns human design dental crowns, but also improves the consistency, functionality, and the aesthetic aspect of the dental crowns. Read the […]

Making Teeth Using Dental AI

Here’s an article describing the dental AI project of Intellident, published in the reputable Le Devoir newspaper. The article (in French), references an interview with Professor Francois Guildbault, the lead professor of our project. In the interview, Prof. Guildbault explains how using machine learning and artificial intelligence, we aim to simplify and perfect the creation […]