12 citations · 36 across the 15 of their papers we have counts for
3 papers · 1 filter
Cross-Modal Conceptualization in Bottleneck Models
Danis Alukaev, Semen Kiselev, Ilya Pershin +4
Concept Bottleneck Models (CBMs) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classificatio…
A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays
Tudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh +2
This paper describes our solution for the Dental Enumeration and Diagnosis on Panoramic X-rays Challenge at MICCAI 2023. Our approach consists of a multi-step framework tailored to…
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge
Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik +29
Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-ba…