Anastasia PAMPOUCHIDOU - Admise au titre de docteur

Doctorat Instrumentation et informatique de l'image

Thèse soutenue le 8 novembre 2018 - Université Bourgogne - Franche-Comté

Ecole doctorale : SPIM - Sciences Physiques pour l'Ingénieur et Microtechniques

Sujet : Détection automatique des repères visuels associés à la dépression

Mots-clés de la thèse : Dépression,Traitement d'image,Reconnaissance de formes,Informatique affective,

Direction de thèse : Fabrice MERIAUDEAU

Co-direction de thèse : Manolis TSIKNAKIS

Co-direction de thèse : Fan YANG SONG

Unité de recherche : LE2I - Laboratoire d'Electronique, d'Informatique et de l'Image UMR 6306 - Dijon
Intitulé de l'équipe : Pôle 5 - Systèmes de vision et Méthodes d'imagerie

Diplôme national de master - Master science, technologies, sante a finalite rescherche, mention sciences et technologies de l'information et de la communication: Informatique-Electronique

obtenu en novembre 2011 - Universite de Bourgogne
Option : Image, Informatique et Ingenierie

Production scientifique

- Chiarugi Franco, Iatraki Galateia, Christinaki Eirini, Manousos Dimitris, Giannakakis Giorgos Α., Pediaditis Matthew, Pampouchidou Anastasia, Marias Kostas, and Tsiknakis Manolis 2014. Facial signs and psycho-physical status estimation for well-being assessment 7th IEEE International Conference on Health Informatics, pp. 555-562,
- Pediaditis Matthew, Giannakakis Georgios, Chiarugi Franco, Manousos Dimitris, Pampouchidou Anastasia, Christinaki Eirini, Iatraki Galateia, Kazantzaki Eleni, Simos Panagiotis G., Marias Kostas, and Tsiknakis Manolis 2015. Extraction of facial features as indicators of stress and anxiety 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp 3711-3714, http://ieeexplore.ieee.org/document/7319199/?arnumber=7319199
- Pampouchidou Anastasia, Marias Kostas, Tsiknakis Manolis, Simos Panagiotis, Yang Fan, Meriaudeau Fabrice 2015. Designing a Framework for Assisting Depression Severity Assessment from Facial Image Analysis IEEE International Conference on Signal and Image Processing Applications, pp 578 - 583, http://ieeexplore.ieee.org/document/7412257/?arnumber=7412257
- Pampouchidou, Α., Simantiraki, Ο., Vazakopoulou, C. - M., Chatzaki, C., Pediaditis, M., Maridaki, A., Marias, K., Simos, P., Yang, F., Meriaudeau, F., Tsiknakis, M. 2017. Facial Geometry and Speech Analysis for Depression Detection 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, ..,
- Anastasia Pampouchidou, Kostas Marias, Manolis Tsiknakis, Panagiotis Simos, Fan Yang, Guillaume Lemaître, Fabrice Meriaudeau 2016. Video-Based Depression Detection Using Local Curvelet Binary Patterns in Pairwise Orthogonal Planes 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), .., https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01354878/document
- Anastasia Pampouchidou, Matthew Pediaditis,, F Chiarugi,, Kostas Marias, Panagiotis Simos, Fan Yang, Fabrice Meriaudeau, Manolis Tsiknakis 2016. Automated Characterization of Mouth Activity for Stress and Anxiety Assessment IEEE International Conference on Imaging Systems and Techniques, pp.356-361,
- Anastasia Pampouchidou, Eleni Kazantzaki,, Kostas Marias, Manolis Tsiknakis, Fabrice Meriaudeau, Fan Yang, Panagiotis Simos, Ioannis Karatzanis, 2016. Preliminary Evaluation of a Web-Oriented Assessment Tool for Emotion Recognition 13th International Conference on Wearable, Micro & Nano Technologies for Personalized Health, 224, pp.95-100,
- Anastasia Pampouchidou, Matthew Pediaditis,, Georgios Giannakakis,, Kostas Marias, Olympia Simantiraki,, Dimitrios Manousos,, Fabrice Meriaudeau, Fan Yang, Amir Fazlollahi, Alexandros Roniotis,, Panagiotis Simos, Manolis Tsiknakis 2016. Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text Audio/Visual Emotion Challenge and Workshop (AVEC 2016) “Depression, Mood and Emotion”, ACM Multimedia, pp.27-34,
- Pampouchidou, Α., Simantiraki, Ο., Vazakopoulou, C. - M., Marias, K., Simos, P., Yang, F., Meriaudeau, F., Tsiknakis, M. 2017. Détection de la dépression par l'analyse de la géométrie faciale et de la parole XXVIème colloque du Groupement de Recherche en Traitement du Signal et des Images, ..,
- Simantiraki, Ο., Charonyktakis, P., Pampouchidou, Α., Tsiknakis, M., Cooke, M. 2017. Glottal Source Features for Automatic Speech-based Depression Assessment INTERSPEECH, ..,
- Pampouchidou, A., Pediaditis, M., Maridaki, A., Awais, M., Vazakopoulou, C.M., Sfakianakis, S., Tsiknakis, M., Simos, P., Marias, K., Yang, F., and Meriaudeau, F. 2017. Quantitative comparison of motion history image variants for video-based depression assessment EURASIP Journal on Image and Video Processing "Special Issue on Applications of Visual Analysis of Human Behaviour", 64, https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-017-0212-3
- Pampouchidou, A., Simos, P., Marias, K., Meriaudeau, F., Yang, F., Pediaditis, M., and Tsiknakis, M. 2017. Automatic Assessment of Depression Based on Visual Cues: A Systematic Review IEEE Transactions on Affective Computing, .., http://ieeexplore.ieee.org/document/8052569/
- Simantiraki, O., Giannakakis, G., Pampouchidou, A., and Tsiknakis, M. 2016. Stress Detection from Speech Using Spectral Slope Measurements 6th International Symposium on Pervasive Computing Paradigms for Mental Health, EAI, ..,
- Calliope-Marina Vazakopoulou, Anastasia Pampouchidou, Fan Yang, Fabrice Meriaudeau, Kostas Marias, Manolis Tsiknakis 2018. Détection de la dépression par analyse de la géométrie faciale et apprentissage automatique CNRIUT'2018, Section CNU 61 ,
- Anna Maridaki, Anastasia Pampouchidou, Kostas Marias, Manolis Tsiknakis 2018. Machine Learning Techniques for Automatic Depression Assessment 41st International Conference on Telecommunications and Signal Processing (TSP), pp. 1-5, https://ieeexplore.ieee.org/abstract/document/8441422/
- Dimitra Bourou, Anastasia Pampouchidou, Manolis Tsiknakis, Kostas Marias, Panagiotis Simos 2018. Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling 41st International Conference on Telecommunications and Signal Processing (TSP), pp. 1-6, https://ieeexplore.ieee.org/abstract/document/8441252/
- Megat Ahmad Haziq Megat S'adan, Anastasia Pampouchidou, Fabrice Meriaudeau 2018. Deep Learning Techniques for Depression Assessment 7th International Conference on Intelligent and Advanced System, -,

Langues Vivantes : Anglais B2 - Intermédiaire supérieur - Grec moderne C2 - Maternel

Dernière mise à jour le 17 septembre 2018