Fiche de BENEZETH Yannick
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BENEZETH Yannick
PR
Adresse | 9 avenue Alain Savary - BP47870 - 21078 DIJON |
Localisation | Bâtiment I3M - Bureau 307 |
Tél. | 03 80 39 59 15 |
yannick.benezeth@u-bourgogne.fr |
- Publications
- Axes de recherche
Publications
Isaac Wilfried Sanou, Julien Baderot, Ali Hallal, Stéphanie Bricq, Yannick Benezeth, et al.. Deep learning aided tool for fast and accurate segmentation of multi-part semiconductor features. Metrology, Inspection, and Process Control XXXVIII, Feb 2024, San Jose, France. pp.70, ⟨10.1117/12.3009287⟩. ⟨hal-04910294⟩
Isaac Wilfried Sanou, Julien Baderot, Stéphanie Bricq, Yannick Benezeth, Franck Marzani, et al.. Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images. Journal of Electronic Imaging, 2024, 33 (03), ⟨10.1117/1.JEI.33.3.031204⟩. ⟨hal-04909290⟩
Houda Rafi, Yannick Benezeth, Fan Yang Song, Philippe Reynaud, Emmanuel Arnoux, et al.. Tree-Based Personalized Clustered Federated Learning: A Driver Stress Monitoring Through Physiological Data Case Study. IEEE Internet of Things Journal, 2025, 12 (2), pp.1688-1698. ⟨10.1109/JIOT.2024.3462302⟩. ⟨hal-04909273⟩
J Gimenez-Figueroa, Hugo Castaneda, Yannick Benezeth, G. Alvarez-Benito, L. Merino, et al.. Measuring Physiological Data to Estimate Stress Through Robot-Orchestrated Interaction in Children's Hospital. IEEE Conference on Robotics and Automation, Sep 2024, Rotterdam, Netherlands. ⟨hal-04909207⟩
Yannick Benezeth, Deepak Krishnamoorthy, Deivid Johan Botina Monsalve, Keisuke Nakamura, Randy Gomez, et al.. Video-based heart rate estimation from challenging scenarios using synthetic video generation. Biomedical Signal Processing and Control, 2024, 96, pp.106598. ⟨10.1016/j.bspc.2024.106598⟩. ⟨hal-04662709⟩
Hailun Chu, Chao Li, Haibin Wang, Jun Wang, Yupeng Tai, et al.. MTSA-Net: a multiscale time self-attention network for ship radiated self-noise reduction. Ocean Engineering, 2024, 292, pp.116566. ⟨10.1016/j.oceaneng.2023.116566⟩. ⟨hal-04419289⟩
Isaac Wilfried Sanou, Julien Barderot, Yannick Benezeth, Stéphanie Bricq, Franck Marzani, et al.. Semi-automatic tools for nanoscale metrology and annotations for Deep Learning automation on Electron Microscopy images. Quality Control by Artificial Vision, Jun 2023, Albi, France. ⟨hal-04296206⟩
Yanjing Bi, Chao Li, Yannick Benezeth, Fan Yang. A RTL Implementation of Heterogeneous Machine Learning Network for French Computer Assisted Pronunciation Training. Applied Sciences, 2023, 13 (10), pp.5835. ⟨10.3390/app13105835⟩. ⟨hal-04295244⟩
Hailun Chu, Chao Li, Haibin Wang, Jun Wang, Yupeng Tai, et al.. A deep-learning based high-gain method for underwater acoustic signal detection in intensity fluctuation environments. Applied Acoustics, 2023, 211, pp.109513. ⟨10.1016/j.apacoust.2023.109513⟩. ⟨hal-04295202⟩
Reda Belaiche, Rita Meziati Sabour, Cyrille Migniot, Yannick Benezeth, Dominique Ginhac, et al.. Emotional State Recognition with Micro-expressions and Pulse Rate Variability. International Conference on Image Analysis and Processing, Sep 2019, Trento, Italy. pp.26-35, ⟨10.1007/978-3-030-30642-7_3⟩. ⟨hal-02354497⟩
Axes de recherche
- Analyse d’images et de vidéos pour la santé
- Imagerie multispectrale en endoscopie digestive
Projets :
- Développement de méthodes pour estimer les rythmes cardiaque et respiratoire par analyse vidéo – remote photoplethysmopraphy ou photopléthysmographie sans contact.
- Réseaux de neurones récurrents pour l’analyse, le filtrage et la classification de signaux physiologiques
- Développement d’un test psychométrique multimodal pour caractériser l’attachement via l’analyse de la parole, prosodie, expressions faciales et signaux physiologiques.
- Reconnaissance d’émotions et du stress par analyse de la variabilité cardiaque estimée par analyse vidéo.
- Analyse d’images multispectrales d’endoscopie digestive pour la détection de lésions pré-cancéreuses dans l’estomac ou le côlon.