21 citations · 31 across the 5 of their papers we have counts for
5 papers
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…
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Nour Neifar, Afef Mdhaffar, Achraf Ben-Hamadou +1
In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram (ECG), electroencephalogram (EEG), phot…
DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar +1
Within cardiovascular disease detection using deep learning applied to ECG signals, the complexities of handling physiological signals have sparked growing interest in leveraging d…
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar +2
Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training…
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…