Yasmina Leroul-Chenoune

Head of the « Biotech and Digital Health » Master Program, Associate Professor in Image Processing, and Scientific advisor of the « Mathematics, and Signal, Image and Sound Processing » group
ESME

Overview of research area

Image processing and analysis
Cardiovascular imaging
Cerebrovascular imaging
Coputer-aided diagnosis and therapy
Interventional planning and image-guided therapy
Clinical research

Short biography

Yasmina Chenoune is an associate professor at ESME engineering school of Paris since 2010. She received a M.Sc degree in Electronics, Electrical Engineering and Automatics from the Pierre et Marie Curie university of Paris VI in 2002,
a M.Sc degree of Medical and Biological Engineering in 2003 and a PhD in Engineering Sciences from the Paris EST Créteil university in 2008. From 2008 to 2010, she was a postdoctoral researcher at the 789 Inserm Unit of Laboratoire
d’Imagerie Fonctionnelle, Pierre et Marie Curie university and worked in collaboration with the Hôpital Européen Georges Pompidou of Paris. Her research interests lie on the fields of medical imaging and image processing and analysis.
She is involved in several projects that focus on diagnosis and therapeutic aid, clinical research or interventional planning and image-guided therapy. She defended and successfully obtained her Accreditation to direct research (Habilitation à Diriger des Recherches, HDR) in 2023.

Recent Collaborations

• Co-supervision of PhD thesis :
  • Deep learning for segmentation, classification and geometric characterization of vessels, Mounir Lahlouh, CIFRE thesis with Basecamp Vascular/CReSTIC Laboratory of Reims Champagne-Ardenne University, France (2020-2023).
  • Computer-aided diagnosis of Age-related Macular Degeneration on retinal OCT angiographic images by deep learning, Kawther Taibouni, with Centre Hospitalier Intercommunal de Créteil and Paris Créteil Est University, France (2018-2022).
  • Analyse automatisée des données 3D+t d’imagerie par résonance magnétique de vélocimétrie – Quantification de l’apport du 3D+t, Sophia Houriez Gombaud-Saintonge with HEGP and Biomedical Imaging Laboratory, Sorbonne University, France (2016-2020).
  • Segmentation and Symbolic Representation of Cerebral Vascular Network applied to modelize AVMs, Fan Li, with Fondation Adolphe de Rothschild Hospital France and Paris Est Créteil University, France (2012-2016).
  • Fusion d’informations par la théorie de l’évidence pour la segmentation d’images, Chaza Georges-Chahine with Paris Est Créteil University, France (2012-2016).

Sites avec les publications de Yasmina Leroul-Chenoune :

• Google Scholar
• PubMed
• Researchgate
• Orcid

Publications

• M. Lahlouh, R. Blanc, M. Piotin, J. Szewczyk, N. Passat, and Y. Chenoune, Cerebral AVM segmentation from 3D rotational angiography images by convolutional neural networks, Neuroscience Informatics, Elsevier, Volume 3, pp. 100138, 2023.
• M. Lahlouh, Y. Chenoune, R. Blanc, M. Piotin, S. Escalard, R. Fahed, J. Szewczyk, and N. Passat, Automated Aortic Anatomy Analysis: From Image To Clinical Indicators, IEEE Engineering in Medicine and Biology Conference (EMBC 2023), Sydney, Australia, July 2023, pp. 1-5.
• M. Lahlouh, Y. Chenoune, R. Blanc, M. P. Piotin, S. Escalard, R. Fahed, J. Szewczyk, and N. Passat, Segmentation and characterization of the aorta and supra-aortic trunks for neuroradiology procedure planning, Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale (IABM), Paris, France, March 2023.
• L. Rundo, C. Militello, and A. Tangherloni, Artificial Intelligence Applied to Medical Imaging and Computational Biology, pp. 135-147, published on February 2023, ISBN 978-3-0365-6487-6 (hardback), ISBN 978-3-0365-6488-3 (PDF), lien MDPI : https://www.mdpi.com/books/book/6853, doi : https://doi.org/10.3390/books978-3-0365-6488-3.
• M. Lahlouh, Y. Chenoune, R. Blanc, J. Szewczyk, and N. Passat, Aortic arch anatomy characterization from MRA: a CNN-based segmentation approach, IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2022), Kolkata, India, March 2022, pp. 1-5.
• K. Taibouni, A. Miere, E. Souied, E. Petit, and Y. Chenoune, Choroidal Neovascularization Screening on OCT Angiography Choriocapillaris Images by Convolutional Neural Networks, Applied Sciences, Vol. 11, Issue 19, 2021 (Open Access).
• A. Kedra, M. Lahlouh, E. Shotar, Y. Chenoune, L. Boistard, A. Boussac, N. Shor, J. Savatovsky, R. Hage, V. Touitou, P. Nicholson, F. Clarençon, M. Piotin, R. Blanc, and S. Lenck, Global collapse of the dural sinuses after venous stenting in idiopathic intracranial hypertension, Journal of Neurology, Neurosurgery and Psychiatry, Volume 92, pp. 1363-1364, 2021.
• A. Fernando Pascaner, S. Houriez–Gombaud-Saintonge, D. Craiem, U. Gencer, M. Casciaro, E. Charpentier, K. Bouaou, A. De Cesare, T. Dietenbeck, Y. Chenoune, N. Kachenoura, E. Mousseaux, G. Soulat, and E. Bollache, Comprehensive assessment of local and regional aortic stiffness in patients with tricuspid or bicuspid aortic valve aortopathy using magnetic resonance imaging, International Journal of Cardiology, Elsevier, 2020.
• A. Miere, T. Le Meur, K. Bitton, C. Pallone, O. Semoun, V. Capuano, D. Colantuono, K. Taibouni, Y. Chenoune, P. Astroz, S. Berlemont, E. Petit, and E. Souied, Deep Learning-Based Classification of Inherited Retinal Diseases Using Fundus Autofluorescence, Journal of Clinical Medicine, Vol. 9, No 10, pp. 3303, 2020 (Open Access).
• Y. Chenoune, O. Tankyevych, F. Li, M. Piotin, R. Blanc, and E. Petit, Three-dimensional segmentation and symbolic representation of cerebral vessels on 3DRA images of arteriovenous malformations, Computers in Biology and Medicine, Vol. 115, Article number 103489, 2019.
• S. Houriez–Gombaud-Saintonge, E. Mousseaux, I. Bargiotas, A. De Cesare, T. Dietenbeck, K. Bouaou, A. Redheuil, G. Soulat, A. Giron, U. Gencer, D. Craiem, E. Messas, E. Bollache, Y. Chenoune, and N. Kachenoura, Comparison of Different Methods for the Estimation of Aortic Pulse Wave Velocity from 4D Flow MRI Data, Journal of Cardiovascular Magnetic Resonance, 2019 (Open Access).
• A. Pascaner, S. Houriez–Gombaud-Saintonge, G. Soulat, U. Gencer, T. Dietenbeck, Y. Chenoune, N. Kachenoura, E. Mousseaux, D. Craiem, and E. Bollache, P129 Arterial Stiffness in Bicuspid or Tricuspid Aortic Valve Aortopathy Using Magnetic Resonance Imaging: Crossing the Physical and Hemodynamic limits?, Artery Research, Vol. 25, Issue Supplement 1, pp. S170 – S170, 2019.
• S. Houriez–Gombaud-Saintonge, A. Pascaner, G. Soulat, U. Gencer, T. Dietenbeck, D. Craiem, E. Bollache, Y. Chenoune, E. Mousseaux, and N. Kachenoura, P123 Beyond Diameters, Flow Hemodynamics Quantified by Magnetic Resonance Imaging to Help Characterizing Aneurysmal Aorta, Artery Research, Vol. 25, Issue Supplement 1, pp. S163 – S163., 2019.
• K. Taibouni, Y. Chenoune, A. Miere, D. Colantuono, E. Souied, and E. Petit, Automated Quantification of Choroidal Neovascularization on Optical Coherence Tomography Angiographic images, Computers in Biology and Medicine, Vol. 114, 2019, Article number 103450.
• S. Houriez–Gombaud-Saintonge, A. Pascaner, G. Soulat, U. Gencer, T. Dietenbeck, D. Craiem, E. Bollache, Y. Chenoune, E. Mousseaux, and N. Kachenoura, Characterization of Aortic Blood Flow Changes in Normal and Pathological Dilatation: Input of 4-Dimensional Flow Magnetic Resonance Imaging, Computing in Cardiology (CinC), Singapor, September 2019.
• S. Houriez–Gombaud-Saintonge, A. Pascaner, G. Soulat, U. Gencer, T. Dietenbeck, D. Craiem, E. Bollache, Y. Chenoune, E. Mousseaux, and N. Kachenoura, Apport de l’étude des flux en IRM de vélocimétrie 4D pour la caractérisation de la dilatation aortique, Recherche en Imagerie et Technologies de la Santé, (RITS), Tours, France, May 2019.
• K. Taibouni, Y. Chenoune, A. Miere, E. Souied, and E. Petit, Analyse d’images rétiniennes OCTA par apprentissage profond pour le dépistage automatique de la DMLA, Recherche en Imagerie et Technologies pour la Santé (RITS), Tours, France, May 2019.
• S. Houriez–Gombaud-Saintonge, E. Bollache, G. Soulat, Y. Alattar, J. Lamy, T. Dietenbeck, A. De Cesare, A. Giron, K. Bouaou, U. Gencer, A. Redheuil, E. Mousseaux, Y. Chenoune, and N. Kachenoura, Evaluation of Left Ventricular Diastolic Function Using 4D Flow Magnetic Resonance Imaging, Computing in Cardiology (CinC), Maachtricht, The Netherlands, September 2018.
• C. Chahine, C. Lagorre, Y. Chenoune, R. El Berbari, Z. El Fawal, and E. Petit, Information fusion for unsupervised image segmentation using stochastic watershed and Hessian matrix, IET Image Processing, Vol. 12, Issue 4, pp. 525-531, 2017 (Open Access).
• S. Houriez–Gombaud-Saintonge, E. Mousseaux, I. Bargiotas, A. De Cesare, T. Dietenbeck, K. Bouaou, A. Redheuil, G. Soulat, U. Gencer, D. Craiem, Y. Chenoune, and N. Kachenoura, The Assessment of Aortic Pulse Wave Velocity Using 4D Flow Magnetic Resonance Imaging: Methods Comparison, Computing in Cardiology, Rennes, France, September 2017.
• F. Li, O. Tankyevych, Y. Chenoune, R. Blanc, and E. Petit, Symbolic Representation of Brain Vascular Network with ArterioVenous Malformations from 3DRA Images, 37th Annual Conference on the IEEE Engineering in Medicine and Biology Society (EMBS), Vol. 2015, pp. 662-665, Milano, Italy, August 2015.
• F. Li, Y. Chenoune, M. Ouenniche, R. Blanc, and E. Petit, Segmentation and reconstruction of cerebral vessels from 3d rotational angiography for AVM embolization planning, 36th Annual Conference on the IEEE Engineering in Medicine and Biology Society (EMBS), Vol. 2014, pp. 5522–5, May 2014.
• F. Li, Y. Chenoune, and R. Blanc, Segmentation 2D et suivi d’un vaisseau cérébral à partir d’images 3DRA, Recherche en Imagerie et Technologies pour la Santé, (RITS), Bordeaux, France, April 2013.
• H. Sarieddeen, R. El Berbari, S. Imad, J. Abdel Baki, M. Hamad, R. Blanc, A. Nakib, and Y. Chenoune, Image Clustering Framework for BAVM Segmentation in 3DRA Images: Performance Analysis, XXXIVth International Conference on Digital Image Processing (ICDIP 2013), Vol. 7, No. 1, pp. 638-642, Dubai, Arab Emirates, January 2013 (Open Access).
• Y. Chenoune, C. Pellot-Berakat, C. Constantinides, R. El Berbari, M. Lefort, E. Roullot, E. Mousseaux, and F. Frouin, Methodology for Jointly Assessing Myocardial Infarct Extent and Regional Contraction in 3D-CMRI, IEEE Transactions on Biomedical Engineering, 59(9):2650-9, 2012.
• Y. Chenoune, C. Constantinides, E. Roullot, E. Mousseaux, and F. Frouin, Segmentation et Recalage 3D d’IRM Cardiaques pour la Quantification Automatique du Rehaussement Tardif, GRETSI, 2011.
• B. Romain, O. Lucidarme, J. Dauguet, S. Mulé, N. Souedet, Y. Chenoune, A. Guibal, T.Delzescaux, and F. Frouin, Registration and functional analysis of CT dynamic image sequences for the follow-up of patients with hepatic tumors undergoing antiangiogenic therapy, IRBM 2010, Vol. 31, Issues 5-6, pp. 263-270, 2010.
• Y. Chenoune, C. Constantinides, R. El Berbari, E. Roullot, F. Frouin, A. Herment, and E. Mousseaux, Rigid Registration of Delayed-Enhancement and Cine Cardiac MR Images using 3D Normalized Mutual Information, Computing in Cardiology’10, Belfast, United Kingdom 2010, Vol. 37, pp. 161-164, September 2010.
• C. Constantinides, Y. Chenoune, E. Mousseaux, F. Frouin, and E. Roullot, Automated Heart Localization for the Segmentation of the Ventricular Cavities on Cine Magnetic Resonance Images, Computing in Cardiology’10, Vol. 37, pp. 911-914, Belfast, United Kingdom, September 2010.
• C. Constantinides, R. El Berbari, A. De Cesare, Y. Chenoune, E. Roullot, A. Herment, E. Mousseaux, and F. Frouin, Développement et Evaluation d’un Algorithme de Segmentation Automatisée des Ventricules Gauche et Droit sur des Images Ciné d’IRM, IRBM 2009, Vol. 30, Issue 4, pp. 188-191, 2009.
• C. Constantinides, Y. Chenoune, N. Kachenoura, E. Roullot, E. Mousseaux, A. Herment, and F. Frouin, Semi-Automated Cardiac Segmentation on Cine Magnetic Resonance Images using GVF-Snake Deformable Models, International Conference on Medical Image Computing and Computer Assisted Interventions 2009 (MICCAI’09), The MIDAS Journal – Cardiac MR Left Ventricle Segmentation Challenge, London, UK, September 2009.
• W. Tfaili, Y. Chenoune, Y. Bouaoune, E. Petit, and P. Siarry, Optimisation de l’Information Mutuelle en Recalage d’Images par l’Algorithme de Colonies de Fourmis CANDO, Proceedings du 9ème congrès de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF’08), pp. 417-418, Clermont-Ferrand, February 2008.
• Y. Chenoune, Y. Bouaoune, E. Deléchelle, E. Petit, J. Garot, and A. Rahmouni, MR/CT multimodal registration of short-axis slices in CT volumes, 29th Annual International Conference of IEEE Engineering in Medicine and Biology Society, (EMBS’07), pp. 4496-4499, Lyon, France, August 2007.
• Y. Chenoune, E. Deléchelle, E. Petit, J. Garot, T. Goissen, and A. Rahmouni, Segmentation of Cardiac Cine-MR Images and Myocardial Deformation Assessment using Level Set Methods, Computerized Medical Imaging and Graphics (CMIG), Vol. 29, Issue 8, pp. 607-616, 2005.
• Y. Chenoune, E. Deléchelle, E. Petit, J. Garot, and A. Rahmounix, Validation by the HARP method of a New Algorithm to Assess Left Ventricular Deformation on Standard Cine-MRI, IEEE Computers in Cardiology 2005, Vol. 32, pp. 403−406, Lyon, France, September 2005.
• S. Randrianarisolo, E. Deléchelle, E. Petit, Y. Chenoune, J. Garot, and A. Rahmouni, Evaluation des Déformations du Myocarde sur des Séquences Temporelles d’Images IRM par Estimation Contrainte du Flot Optique, 20ème colloque GRETSI, Louvain-la-Neuve, France, September 2005.

PhD degree in Engineering Sciences

• 2023

  Accreditation to direct research (Habilitation à Diriger des Recherches, HDR)

  Paris Est Créteil University (Paris XII), Créteil, France
• 2003-2008

  PhD degree in Engineering Sciences

  Paris Est Créteil University (Paris XII), Créteil, France
• 2002-2003

  M.Sc degree of Medical and Biological Engineering

  Paris Est Créteil University (Paris XII), Créteil, France
• 2001-2002

  M.Sc degree in Electronics, Electrical Engineering and Automatics

  Pierre et Marie Curie University (Paris VI), Paris, France
• 1999

  Engineer diploma in Electronics and Telecoms

  Mouloud-Mammeri University, Tizi-Ouzou, Algeria

Head of the « Biotech and Digital Health » Master Program, Associate Professor in Image Processing, and Scientific advisor of the « Mathematics, and Signal, Image and Sound Processing » group

• Since 2023

  Scientific Advisor of the « Mathematics, and Signal, Image and Sound Processing » group

  ESME, Ivry-sur-Seine, France
• Since 2018

  Head of the « Biotech and Digital Health » Master Program

  ESME, Ivry-sur-Seine, France
• Since 2010

  Associate Professor in Image Processing

  ESME, Ivry-sur-Seine, France
• 2008-2010

  Postdoctoral resercher

  789 Inserm Unit, Laboratoire d’Imagerie Fonctionnelle, Paris, France
• 2006-2008

  Temporarily attached to education and research (ATER)

  Science and Technology Department, Paris XII University, Vitry-sur-Seine, France
• 2003-2006

  High education teaching (Monitorat CIES Jussieu)

  Electrical engineering institute (IUT GEII) , Paris XII University, Vitry-sur-Seine, France

Awards and Prizes

• 2019

  EIT Health PhD Translational Fellowship Sorbonne Université for PhD student Sophia Houriez–Gombaud-Saintonge

  EIT Health
• 2018

  Young Investigator Award for PhD student Sophia Houriez–Gombaud-Saintonge

  ICAN Series