35 citations · 66 across the 6 of their papers we have counts for
6 papers
Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI
Ahmed Rekik, R. Jarrett Rushmore, Sylvain Bouix +1
Precise segmentation of brain structures in magnetic resonance imaging (MRI) is essential for reliable neuroimaging analysis, yet voxel-wise deep models often yield anatomically in…
Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge
Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik +23
Teeth landmark detection is a key task in modern orthodontics, supporting advanced diagnosis, personalized treatment planning, and effective monitoring of treatment progress. Howev…
Cross-Attention Fusion of Visual and Geometric Features for Large Vocabulary Arabic Lipreading
Samar Daou, Achraf Ben-Hamadou, Ahmed Rekik +1
Lipreading involves using visual data to recognize spoken words by analyzing the movements of the lips and surrounding area. It is a hot research topic with many potential applicat…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
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…
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis
Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik +5
Intraoral 3D scanning is now widely adopted in modern dentistry and plays a central role in supporting key tasks such as tooth segmentation, detection, labeling, and dental landmar…