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Kareem Wahid

kareemwahid111

  •  United States of America
  •  The University of Texas MD Anderson Cancer Center
  •  Radiation Oncology
  •  Website
Statistics
  • Member for 2 years, 5 months
  • 11 challenge submissions
  • 15 algorithms run

Activity Overview

3DTeethSeg Logo
3D Teeth Scan Segmentation and Labeling Challenge MICCAI2022
Challenge User

Computer-aided design (CAD) tools have become increasingly popular in modern dentistry for highly accurate treatment planning. In particular, in orthodontic CAD systems, advanced intraoral scanners (IOSs) are now widely used as they provide precise digital surface models of the dentition. Such models can dramatically help dentists simulate teeth extraction, move, deletion, and rearrangement and therefore ease the prediction of treatment outcomes. Although IOSs are becoming widespread in clinical dental practice, there are only few contributions on teeth segmentation/labeling available in the literature and no publicly available database. A fundamental issue that appears with IOS data is the ability to reliably segment and identify teeth in scanned observations. Teeth segmentation and labelling is difficult as a result of the inherent similarities between teeth shapes as well as their ambiguous positions on jaws.

HECKTOR Logo
MICCAI HECKTOR 2022
Challenge User

Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

HNTSMRG24 Logo
Head and Neck Tumor Segmentation for MR-Guided Applications
Challenge Editor

This challenge focuses on developing algorithms to automatically segment head and neck cancer gross tumor volumes on multi-timepoint MRI