activity
20162025
most citedMedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

35 citations · 90 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2025

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…

cs.CV2024

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…

cs.CV2023★ 35 cited

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…

cs.LG2023★ 4 cited

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…

cs.CV2023★ 2 cited

Graph Self-Supervised Learning for Endoscopic Image Matching

Manel Farhat, Achraf Ben-Hamadou

Accurate feature matching and correspondence in endoscopic images play a crucial role in various clinical applications, including patient follow-up and rapid anomaly localization t…

cs.CV2023★ 6 cited

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…

cs.CV2023★ 10 cited

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…

eess.SP2022

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…

cs.CV2022★ 21 cited

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…

cs.CV2022★ 2 cited

Self-Supervised Endoscopic Image Key-Points Matching

Manel Farhat, Houda Chaabouni-Chouayakh, Achraf Ben-Hamadou

Feature matching and finding correspondences between endoscopic images is a key step in many clinical applications such as patient follow-up and generation of panoramic image from…

cs.CV2018

Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks

Nesrine Grati, Achraf Ben-Hamadou, Mohamed Hammami

This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data. Unlike hand-crafted representations, learned…

cs.CV2016★ 10 cited

Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept

Achraf Ben-Hamadou, Christian Daul, Charles Soussen

3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosai…