Chantal MULLER

Présentation

Chantal Revol-Muller is Associate Professor (Maître de Conférences Hors Classe) at INSA Lyon's Telecommunications Department and researcher at CREATIS laboratory (CNRS UMR 5220, INSERM U1294) in the MYRIAD team.Her research focuses on medical image analysis using AI, with expertise in segmentation algorithms, adaptive filtering, and generative AI for medical imaging.Since 2023, she has been developing approaches combining deep learning and diffusion models for brain MRI analysis, with applications in multiple sclerosis lesion segmentation and text-conditioned synthetic image generation. She currently directs a PhD thesis on multimodal text-image latent representation fusion in generative AI for medical imaging.Her recent work includes international collaborations (UNC Chapel Hill USA, ENET'Com Tunisia) and interdisciplinary projects in biology and catalysis.She previously directed the apprenticeship program at INSA Lyon's Telecommunications Department (2017-2023).

Publications

Communication dans un congrès (24)

Comparative analysis of three advanced deep learning algorithms for Multiple Sclerosis lesion segmentation in FLAIR MRI Yi Zhu,Thomas Grenier,Chantal Revol-Muller IEEE ICSP’24 & 5th Sino-French Workshop 2024 “Medical Image Analysis and AI (MAI)”, IEEE Beijing Section, Beijing Jiaotong University, and Soochow University, Oct 2024, Suzhou, China, France. pp.697-702, ⟨10.1109/ICSP62129.2024.10846353⟩ Communication dans un congrès hal-04767216v1
DALL-E Brain : Génération d'images IRM cérébrales 2D T1-w, T2-w et FLAIR à partir de descriptions textuelles Souhail El-Allaly,Thomas Grenier,C. Revol-Muller Colloque GRETSI'25, XXXe Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strabourg, France Communication dans un congrès hal-05178724v1
DALL-E Brain: Generating 2D T1-w, T2-w, and FLAIR Brain MRI Images from Textual Prompts Souhail El-Allaly,Thomas Grenier,C. Revol-Muller EUSIPCO 2025, European Association for Signal Processing (EURASIP), Sep 2025, Palermo, France Communication dans un congrès hal-05096573v1
Détection et segmentation automatisées de bactériocytes à partir d'images de microscopie optique Nathan Hutin,Chantal Revol-Muller,Karen Gaget,Séverine Balmand,Federica Calevroet al. Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI), Aug 2025, Strasboug, France Communication dans un congrès hal-05184270v1
Application of Neural Networks to the Segmentation of Nanocrystals and Liquid Nanodrops during in situ Condensation of Water in the Environmental Transmission electron microscope. Thierry Epicier,Sokhna Diata Beye,Nicolas Smigiel,Vincent Onfray,C. Revol-Mulleret al. IMC20 The 20th International Microscopy Congress, Sep 2023, Busan (Corée), South Korea Communication dans un congrès hal-04839550v1
Modeling 3D realistic organic tissues from 2D digital microscopy images C. Prieto J.,C. Revol-Muller,P. Camelliti,C. Odet 6th annual Winter Conference of the European Society for Molecular Imaging : hot TOPics in molecular IMaging (TOPIM), Apr 2012, Les Houches, France Communication dans un congrès hal-00830760v1
Segmentación del árbol vascular pulmonar J. C. Prieto,C. Pérez Romanello,V. Pérez Romanello,C. Revol-Muller,C. Odetet al. Conferencia Latinoamericana en Informática (CLEI), Oct 2012, Medellin, Colombia Communication dans un congrès hal-00840856v1
Age estimation from 3D X-ray CT images of human fourth ribs J. C. Prieto,S. Mihaila,A. Hilaire,L. Fanton,C. Odetet al. Worldcomp'12: 16th International Conference on Image Processing, Computer Vision, & Pattern Recognition IPCV'12, Jul 2012, Las Vegas, United States. pp.Unknown Communication dans un congrès hal-00830512v1
Region Growing: Adolescence and adulthood ;Two visions of region growing: in feature space and variational framework C. Revol-Muller,T Grenier,J.L. Rose,A. Pacureanu,F. Peyrinet al. VISAPP 2012. International Conference on Computer Vision Theory and Applications, 2012, Rome, Italy. pp.286-297 Communication dans un congrès hal-01871242v1
Feature space region growing C. Revol-Muller,T. Grenier,T. Li,H. Benoit-Cattin IEEE International Conference On Image Processing, Sep 2012, Orlando, United States. pp.2585 - 2588, ⟨10.1109/ICIP.2012.6467427⟩ Communication dans un congrès hal-00830362v1
3D nano-CT: a new approach for imaging at cellular scale A. Pacureanu,M. Langer,J.-L. Rose,C. Revol-Muller,F. Peyrin General Assembly of the French Society for Signal and Image Processing in Life Sciences, Oct 2012, Lyon, France Communication dans un congrès hal-00830111v1
Imaging of the Bone Cell Network with Nanoscale Synchrotron Radiation Computed Tomography A. Pacureanu,M. Langer,C. Revol-Muller,F. Peyrin SSBA 2012, Symposium on Image Analysis, Mar 2012, Stockholm, Sweden Communication dans un congrès hal-00838688v1
Shape Prior in Variational Region Growing C. Revol-Muller,J.-L. Rose,A. Pacureanu,F. Peyrin,C. Odet International Conference on Image Processing Theory, Tools and Applications, IPTA'12, Oct 2012, Istanbul, Turkey. pp.116 - 120, ⟨10.1109/IPTA.2012.6469571⟩ Communication dans un congrès hal-00840893v1
CreaLungs: a variational region growing method to segment pulmonary vascular trees J.-C. Prieto,C. Revol-Muller,C. Odet,M. Orkisz ISBI 2012 VESSEL12 Challenge, May 2012, Barcelona, Spain Communication dans un congrès hal-00831266v1
Segmentation of 3D cellular networks from SR-micro-CT images Alexandra Pacureanu,Jerome Rollet,Chantal Revol-Muller,Vasile Buzuloiu,Max Langeret al. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Mar 2011, Chicago, United States. pp.1970-1973, ⟨10.1109/ISBI.2011.5872796⟩ Communication dans un congrès hal-01825257v1
Unifying variational approach and region growing segmentation J.L. Rose,T Grenier,C. Revol-Muller,C. Odet 18th European Signal Processing Confernce (EUSIPCO-2010), 2010, Aalborg, Denmark. pp.1781-1785 Communication dans un congrès hal-01871245v1
Variational Region Growing Jean-Loïc Rose,Chantal Revol-Muller,Christophe Odet,Christian Reichert VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009 - Volume 2, Feb 2009, Lisbonne, Portugal. pp.166-171 Communication dans un congrès hal-00868386v1
Hybrid approach for multiparametric mean shift filtering T Grenier,C. Revol-Muller,G. Gimenez ICIP\textquoteright06, 2006, Atlanta, USA, Unknown Region. pp.1541-1544 Communication dans un congrès hal-01871249v1
3D Robust Adaptive Region Growing for Segmenting [18F]fluoride Ion PET Images T Grenier,C. Revol-Muller,N. Costes,M. Janier,G. Gimenez 2006 NSS MIC, 2006, San Diego, USA, Unknown Region. pp.2644-2648 Communication dans un congrès hal-01871250v1
textquoterightMean Shift\textquoteright Adaptatif pour le lissage d\textquoterightimages ultrasonores T Grenier,C. Revol-Muller,F. Davignon,O. Basset,G. Gimenez GRETSI\textquoteright05, 2005, Louvain-La-Neuve, Belgium. pp.53-56 Communication dans un congrès hal-01871253v1
Lissage et segmentation d\textquoterightimages multi-paramétriques ultrasonores par une approche \textquoterightMean shift\textquoteright F. Davignon,T Grenier,C. Revol-Muller,G. Gimenez,O. Basset GRETSI\textquoteright05, 2005, Louvain-La-Neuve, Belgium. pp.21-24 Communication dans un congrès hal-01871252v1
Variable bandwidth Mean Shift for Smoothing ultrasonic images T Grenier,C. Revol-Muller,F. Davignon,O. Basset,G. Gimenez EUSIPCO\textquoteright05, 2005, Antalya, Turkey. Article ID cr1454, 4 p Communication dans un congrès hal-01871254v1
Multiparametric Smoothing Based On Mean Shift Procedure For Ultrasound Data Segmentation T Grenier,C. Revol-Muller,F. Davignon,O. Basset,G. Gimenez EUSIPCO\textquoteright05, 2005, Antalya, Turkey. Article ID cr1461, 4 p Communication dans un congrès hal-01871255v1
Automated seeds location for whole body NaF PET segmentation T Grenier,C. Revol-Muller,N. Costes,M. Janier,G. Gimenez IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference, 2003, Portland, OR, USA, Unknown Region. pp.2210-2214 Communication dans un congrès hal-01871256v1

Poster de conférence (1)

Automated detection and segmentation of bacteriocytes from light microscopy images Nathan Hutin,Mélanie Ribeiro Lopes,Karen Gaget,Federica Calevro,Chantal Revol-Mulleret al. Colloque d'Intelligence Artificielle en Imagerie Biomédical (IABM), Mar 2025, Nice, France Poster de conférence hal-05109817v1

Article dans une revue (6)

Segmentation of the pulmonary vascular trees in 3D CT images using variational region-growing M. Orkisz,M. Hernández Hoyos,V. Pérez Romanello,C. Pérez Romanello,J. C. Prietoet al. Innovation and Research in BioMedical engineering, 2014, 35 (1), pp.11-19. ⟨10.1016/j.irbm.2013.12.001⟩ Article dans une revue istex hal-01052906v1
Influence of age and sex on aortic distensibility assessed by MRI in healthy subjects Jean-Loïc Rose,Alain Lalande,Olivier Bouchot,El-Bay Bourennane,Paul Walkeret al. Magnetic Resonance Imaging, 2010, 28 (2), pp.255-263. ⟨10.1016/j.mri.2009.07.001⟩ Article dans une revue istex hal-00785371v1
Automated seeds location for whole body NaF PET segmentation T Grenier,C. Revol-Muller,N. Costes,M. Janier,G. Gimenez IEEE Transactions on Nuclear Science, 2005, 52 (5), pp.1401 - 1405 Article dans une revue hal-01871251v1
Automated 3D region growing algorithm based on an assessment function Chantal Revol-Muller,Francoise Peyrin,Yannick Carrillon,Christophe Odet Pattern Recognition Letters, 2002, 23 (1-3), pp.137-150. ⟨10.1016/S0167-8655(01)00116-7⟩ Article dans une revue istex hal-02009669v1
Bone MRI segmentation assessment based on synchrotron radiation computed microtomography C. Revol-Muller,H. Benoit-Cattin,Y. Carillon,C. Odet,A. Briguetet al. IEEE Transactions on Nuclear Science, 2002, 49 (1), pp.220-224. ⟨10.1109/TNS.2002.998755⟩ Article dans une revue hal-02009902v1
A new minimum variance region growing algorithm for image segmentation Chantal Revol-Muller,Michel Jourlin Pattern Recognition Letters, 1997, 18 (3), pp.249-258. ⟨10.1016/S0167-8655(97)00012-3⟩ Article dans une revue istex hal-04873153v1

Chapitre d'ouvrage (1)

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework C. Revol-Muller,T. Grenier,J.-L. Rose,A. Pacureanu,F. Peyrinet al. G. Csurka, M. Kraus, R. S. Laramee, P. Richard, J. Braz. Communications in Computer and Information Science Computer Vision, Imaging and Computer Graphics. Theory and Application, Springer, pp.426-444, 2013, 978-3-642-38241-3. ⟨10.1007/978-3-642-38241-3_29⟩ Chapitre d'ouvrage hal-00828473v1

HDR (1)

Prise en compte de données multidimensionnelles et hétérogènes en imagerie médicale : contributions en fusion, filtrage et segmentation Chantal Revol-Muller Sciences de l'ingénieur [physics]. Université Claude Bernard Lyon1; INSA Lyon, 2012 HDR tel-04890955v1