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Doctorants/ Chercheurs LMA : Labcom I3M, Poitiers, France, Université de Poitiers, Laboratoire de Mathématiques Appliquées LMA, CNRS UMR 7348, France.
Doctorants/Chercheur XLIM : Labcom I3M, Poitiers, France, Université de Poitiers, Laboratoire XLIM, CNRS UMR 7252, France.
Doctorants en CIFRE avec société XXXXXX…., la triple mention LMA ou XLIM et société XXXXXXXX…….. devra être systématique:
Personnel CHU – LMA : Labcom I3M, Poitiers, France, Centre Hospitalier Universitaire de Poitiers, plateforme Ultra-Haut champ 3T-7T, Université de Poitiers, Laboratoire de Mathématiques Appliquées LMA, CNRS UMR 7348
A Miranville, « The Cahn-Hilliard equation : recent advances and applications » , CBMS-NSF Regional Conference Series in Applied Mathematics 95, SIAM, septembre 2019. DOI: https://doi.org/10.1137/1.9781611975925
Pascal Bourdon, Olfa Ben Ahmed, Thierry Urruty, Khalifa Djemal, Christine Fernandez-Maloigne, « Explainable AI for Medical Imaging: Knowledge Matters », in Book, chapter of Multi-faceted Deep Learning, Models and Data, Editors: Benois-Pineau, Jenny, Zemmari, Akka, Springer, 11 August 2021
O Ben-Ahmed, C Fernandez-Maloigne, A Julian, M Paccalin « Visual saliency for medical imaging and
computer-aided diagnosis » Neurological Disorders and Imaging Physics, Volume 3, Application to autism spectrum disorders and Alzheimer’s, Pages 9-1 to 9-22, November 2019. DOI: https://doi.org/10.1088/978-0-7503-1793-1ch9
Herpe G, Van den Boom M, Najji R, Tasu JP, Beregi J-P, Boyer L, Guillevin R. Associations between 24/7 workforce coverage, organizational challenges, and well-being of emergency radiologists: a national survey. Radiol. 2025;35:496–505.
Fayolle P, Bône A, Debs N, Naudin M, Bourdon P, Guillevin R, Helbert D. Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. houston texas: 2025.
Budisavljevic S, Ameis S, Berlot R, Howells H, Urbanski M. Chapter 30 – Linking behavior with white matter networks [Internet]. In: Dell’Acqua F, Descoteaux M, Leemans A, editors. Handbook of Diffusion MR Tractography. Academic Press; 2025 [cited 2025 Jan 13]. p. 613–629.Available from: https://www.sciencedirect.com/science/article/pii/B9780128188941000276.
Bonnin, W.Ramchi, P. Bourdon, C. Guillevin, R. Guillevin, C. Giraud and C. Maloigne–Fernandez.MRSpectroscopy Sprectrum Fitting using a Physically Informed Neural Network. Lecture Notes.Electrical Engineering in Springer’s Journal. 2024.
Bonnin, P. Bourdon, C. Guillevin, R. Guillevin, C. Giraud and C. Maloigne-Fernandez. Physic informed neural network for fitting ultra-high-field magnetic resonance spectrum. Journal IEEE. 2024. https://ieeexplore.ieee.org/abstract/document/10875049.
Vallée R, Meduri E, Vallée J-N, Lallouette A, Haffane Z, Paillard A, Mansouri K, Mermoud A. Predictive biomarkers of intra-ocular pressure decrease after cataract surgery associated with trabecular washout in patients with pseudo exfoliative glaucoma. Rep. 2024;14:13567.
Vallée R, Körpe D, Vallée J-N, Tsiropoulos GN, Gallo Castro D, Mantel I, Pournaras CJ, Ambresin A. Impact of preocular and ocular circulatory dynamics on the vascular density of retinal capillary plexuses and choriocapillaris. Graefes Arch. Clin. Exp. Ophthalmol. 2024;262:3867–3879.
Raad H. Simulation of tumor density evolution upon chemotherapy alone or combined with a treatment to reduce lactate levels. AIMS Math. 2024;5250–5268.
Postiglione TJ, Guillo E, Heraud A, Rossillon A, Bartoli M, Herpe G, Adam C, Fabre D, Ardon R, Azarine A, et al. Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements. Vasc. Surg. 2024;79:1390-1400.e8.
Le Guillou Horn XM, Lecellier F, Giraud C, Naudin M, Fayolle P, Thomarat C, Fernandez-Maloigne C, Guillevin R. From Voxel to Gene: A Scoping Review on MRI Radiogenomics’ Artificial Intelligence Predictions in Adult Gliomas and Glioblastomas—The Promise of Virtual Biopsy? Biomedicines. 2024;12:2156.
Herpe G, Platon A, Poletti P-A, Lövblad KO, Machi P, Becker M, Muster M, Perneger T, Guillevin R. Dual-Energy CT in Acute Stroke: Could Non-Contrast CT Be Replaced by Virtual Non-Contrast CT? A Feasibility Study. Clin. Med. 2024;13:3647.
Herpe G, Nelken H, Vendeuvre T, Guenezan J, Giraud C, Mimoz O, Feydy A, Tasu J-P, Guillevin R. Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department. Clin. Med. 2024;13:5575.
Herpe G, D’Assignies G, Tang A. Overcoming “Fear of AI” Bias: Insights from the Technology Acceptance Model. RadioGraphics. 2024;44:e240167.
Gerbaud S, Cavalier A, Horna S, Zrour R, Naudin M, Guillevin C, Meseure P. Topological 3D reconstruction of multiple anatomical structures from volumetric medical data. Graph. 2024;121:103947.
A. Obeid H, Zrour R, Mercier B, Horna S, Guillevin C, Naudin M, Khalil M. 3D Modeling for Multimodal Visualization of Medical Data. Comput.-Aided Des. Appl. 2024;21:778–790.
Velu L, Pellerin L, Julian A, Paccalin M, Giraud C, Fayolle P, Guillevin R, Guillevin C. Early rise of glutamate-glutamine levels in mild cognitive impairment: Evidence for emerging excitotoxicity. Neuroradiol. [Internet]. 2023 [cited 2023 Oct 17];Available from: https://www.sciencedirect.com/science/article/pii/S0150986123002432
Severyns M, Zot F, Harika-Germaneau G, Germaneau A, Herpe G, Naudin M, Valle V, Danion J, Vendeuvre T. Extrusion and meniscal mobility evaluation in case of ramp lesion injury: a biomechanical feasibility study by 7T magnetic resonance imaging and digital volume correlation. Bioeng. Biotechnol. [Internet]. 2023 [cited 2024 Jan 29];11. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10796713/
Raison A, Biardeau T, Bourdon P, Helbert D. Face expressions understanding by geometrical characterization of deep human faces representation [Internet]. In: Electronic Imaging. San Francisco (CA), United States: IS&T; 2023 [cited 2024 Aug 27]. p. 292-1-292–6.Available from: https://hal.science/hal-03737727
Raad H, Cherfils L, Allery C, Guillevin R. Optimal control of a model for brain lactate kinetics. Anal. 2023;133:555–586.
Porciuncula Baptista R, Naudin M, Giliyar Radhakrishna C, Daval-Frérot G, Mauconduit F, Haeger A, Romanzetti S, Lapert M, Ciuciu P, Rabrait-Lerman C, et al. Accelerated sodium MRI using undersampled 3D SPARKLING at 7T [Internet]. 2023 [cited 2024 Feb 8];Available from: https://hal.science/hal-03929787
Ostertag C, Visani M, Urruty T, Beurton-Aimar M. Long-term cognitive decline prediction based on multi-modal data using Multimodal3DSiameseNet: transfer learning from Alzheimer’s disease to Parkinson’s disease. J. Comput. Assist. Radiol. Surg. 2023;18:809–818.
Obeid HAA, Mercier B, Zrour R, Horna S, Naudin M, Khalil M. 3D Multimodal Visualization of Medical Data: Applied to Perfusion-Weighted MRI [Internet]. In: 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME). Beirut, France: IEEE; 2023 [cited 2024 Feb 8]. p. 167–173.Available from: https://hal.science/hal-04406349
Obeid HAA, Mercier B, Zrour R, Horna S, Naudin M, Khalil M. 3D Multimodal Visualization of Medical Data: Applied to Perfusion-Weighted MRI [Internet]. In: 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME). Beirut, France: IEEE; 2023 [cited 2024 Jan 29]. p. 167–173.Available from: https://hal.science/hal-04406349
Naudin M, Lapert M, Fayolle P, Guillevin C, Guillevin R. La spectroscopie clinique a ultra haut champ au chu de poitiers. Neuroradiol. 2023;50:142–143.
Li L. On a Cahn–Hilliard–Oono model for image segmentation. Anal. 2023;132:519–548.
kherchouche anouar, Ben Ahmed O, Guillevin C, Adrien J, Fernandez-Maloigne C, Guillevin R. Fine-grained dementia classification using Adversarial contrastive learning [Internet]. 2023 [cited 2024 Jan 29];Available from: https://hal.science/hal-04137990
Herpe G, Giraud C, Thomas C, Neau J, Velasco S, Dumas V, Pellerin L, Guillevin C, Guillevin R. Early Metabolic Alteration Predicts Outcome With Middle Cerebral Artery Occlusion Treated by Mechanical Thrombectomy. Stroke Vasc. Interv. Neurol. 2023;0:e10.1161/SVIN.123.000972.
Herpe G, Feydy A, D’Assignies G. Efficacy versus Effectiveness in Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis: The Award Goes to Radiology. 2023;307:e223132.
Herpe G, Dambrine J, Guillevin R, Giraud C, Velasco S. Les starlets en thrombectomie mécanique: decomposition multi échelle sous condition de positivité de stark pour évaluer la reperfusion. Neuroradiol. 2023;50:121.
Guillevin R, van der Kolk AG. Editorial: Ultrahigh field metabolic MRI: Current status, clinical applications, and future perspectives. Neurol. [Internet]. 2023 [cited 2024 Jan 29];14. Available from: https://www.frontiersin.org/articles/10.3389/fneur.2023.1119965
Guillevin R, Naudin M, Fayolle P, Giraud C, Le Guillou X, Thomas C, Herpe G, Miranville A, Fernandez-Maloigne C, Pellerin L, et al. Diagnostic and Therapeutic Issues in Glioma Using Imaging Data: The Challenge of Numerical Twinning. Clin. Med. 2023;12:7706.
Giraud C, Guillevin C. Etudes des variations diurnes des mesures de concentrations de métabolites cérébraux en spectroscopie par résonance magnétique du proton SRM-1h. Neuroradiol. 2023;50:141.
Fezai L, Urruty T, Bourdon P, Fernandez-Maloigne C, for the Alzheimer’s Disease Neuroimaging Initiative. Deep anonymization of medical imaging. Tools Appl. 2023;82:9533–9547.
Fezai L. Représentation uniforme de l’imagerie médicale [Internet]. 2023 [cited 2024 Feb 8];Available from: https://theses.hal.science/tel-04123081
Dumas V, Martin K, Giraud C, Prigent J, Bloch W, Soualmi K, Boucebci S, Neau JP, Guillevin R, Velasco S. The role of infarct laterality in patients with low-aspects (0-5) acute ischemic stroke treated with mechanical thrombectomy. Neuroradiol. 2023;50:102.
Do H, Bourdon P, Helbert D, Guillevin R. Contrast-Enhanced MRI Synthesis on Glioma Subjects Using Generative Adversarial Networks [Internet]. In: 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME). 2023 [cited 2024 Feb 8]. p. 70–74.Available from: https://ieeexplore.ieee.org/abstract/document/10293027
Dequidt P, Bourdon P, Tremblais B, Naudin M, Fayolle P, Giraud C, Guillevin C, Fernandez-Maloigne C, Guillevin R. A complete pipeline for glioma grading using intelligible AI on multimodal MRI data. Res. Arch. [Internet]. 2023 [cited 2023 Oct 17];11. Available from: https://esmed.org/MRA/mra/article/view/3793
Depaire L, Guillevin R, Guillevin C. Interet de l’imagerie 7t en pratique clinique: cas illustres en neuroradiologie. Neuroradiol. 2023;50:140.
Bourdon P, Helbert D, Guillevin R. Une irm semi-générative par IA. Neuroradiol. J. Neuroradiol. 2023;50:117–118.
Bonnin L, Bourdon P, Guillevin C, Giraud C, Pellerin L, Maloigne-Fernandez C. Diurnal Dynamism of a Brain Metabolic Network [Internet]. In: 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME). IEEE; 2023 [cited 2024 Feb 8]. p. 162–166.Available from: https://ieeexplore.ieee.org/abstract/document/10293018/
Baptista RP, Naudin M, R CG, Daval-Frerot G, Mauconduit F, Haeger A, Romanzetti S, Lapert M, Ciuciu P, Rabrait-Lerman C, et al. Irm cerebrale du sodium rapide avec sparkling 3d sous-echantillonnee à 7 tesla. Neuroradiol. 2023;50:192–193.
A. Kherchouche, O. Ben-Ahmed, C. Guillevin, B. Tremblais, and R. Guillevin, “MRS-XNet: An Explainable One-dimensional Deep Neural Network for Magnetic Spectroscopic Data classification”. The 29th IEEE International Conference on Image Processing (IEEE ICIP), 2022.
A. Kherchouche, O. Ben-Ahmed, C. Guillevin, B. Tremblais, C. Fernandez-Maloigne, and R. Guillevin, “MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging”. International Conference on Medical Image Computing and Computer Assisted Workshop on PRedictive Intelligence in MEdicine (MICCAI), PRIME, 2022
Fezai, L., Urruty, T., Bourdon, P. Christine Fernandez-Maloigne,. Deep anonymization of medical imaging. Multimed Tools Appl (2022).https://doi.org/10.1007/s11042-022-13686-2, 2022
Israa Alnazer, Omar Falou, Pascal Bourdon, Thierry Urruty, Remy Guillevin, Mohamad Khalil, Ahmad Shahin, and Christine Fernandez-Maloigne, Usefulness of CT Textural Analysis in Renal Cell Carcinoma Nuclear Grading, journal of Medical Imaging (JMI)
Paul Dequidt, Pascal Bourdon, Benoit Tremblais, Carole Guillevin, Benoit Gianelli, Claire Boutet, Jean-Philippe Cottier, Jean-Noël Vallée, Christine Fernandez-Maloigne, Rémy Guillevin, « Assigning a new gl oma grade label groundtruth for the BraTS dataset using radiologic criteria » , special issue IRBM, Innovation and Research in BioMedical engineering, Elsevier (IF 1,022) à paraître. DOI: 10.1109/IPTA50016.2020.9286707
Matthieu Hubac-Coupet, Thierry Urruty, Mathieu Naudin, Pascal Bourdon, Rémy Guillevin, Christine Fernandez-Maloigne, « A Multi-Sequences MRI Deep Framework Study Applied to Glioma Classification », Multimedia Tools and Applications (MTAP – IF 2,97), 2022
Kherchouche A, Ben-Ahmed O, Guillevin C, Tremblais B, Julian A, Fernandez-Maloigne C, Guillevin R Attention-guided neural network for early dementia detection using MRS data., Comput Med Imaging Graph. 2022 May 27;99:102074. doi: 10.1016/j.compmedimag.2022.102074.
Loubna Lechelek, Sebastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin A Hybrid Method for 3D Reconstruction of MR Images. Journal of Imaging, MDPI, 2022, 10.3390/jimaging8040103 , hal-03634100
Conti, S. Gatti and A. Miranville, Mathematical analysis of a phase-field model of brain cancers with chemotherapy and antiangiogenic therapy effects, AIMS Mathematics 7, 1536-1561, 2022.
A. Perrillat-Mercerot, N. Deliot, Miranville, R. Guillevin and B. Constantin, Mathematical analysis of membrane transporters dynamics: A calcium fluxes case study. Acta Biotheoretica 70, article 14, 2022.
Alsayed, H. Fakih, A. Miranville and A. Wehbe, On an Optimal Control Problem Describing Lactate Production Inhibition. Applicable Analysis, 2022.
Alsayed, H. Fakih, A. Miranville and A. Wehbe, Optimal control of an Allen-Cahn model for tumor growth through supply of cytoxic drugs, Discrete and Continuous Dynamical Systems S 15, 3481-3515, 2022.
Miranville, The Cahn-Hilliard equation with a nonlinear source term, Journal of Differential Equations 294, 88-117, 2021
Miranville, An Allen-Cahn equation based on an unconstrained order parameter and its Cahn-Hilliard limit, Journal of Mathematical Analysis and Applications 504, Article 125486 (17 pages), 2021.
Kimberley Timmins, Irene van Der Schaaf , Edwin Bennink , Ynte Ruigrok , Xingle An , Michael Baumgartner , Pascal Bourdon ,Riccardo de Feo , Tommaso Di Noto , Florian Dubost , Augusto Fava-Sanches , Xue Feng , Corentin Giroud , Inteneural Group , Minghui Hu , Paul Jaeger , Juhana Kaiponen , Michał Klimont , Yuexiang Li , Hongwei Li , Yi Lin , Timo Loehr , Jun Ma , Klaus Maier-Hein ,Guillaume Marie , Bjoern Menze , Jonas Richiardi , Saifeddine Rjiba , Dhaval Shah , Suprosanna Shit , Jussi Tohka , Thierry Urruty ,Urszula Walińska , Xiaoping Yang , Yunqiao Yang , Yin Yin , Birgitta Velthuis , Hugo Kuijf, Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge, Neuroimage (ISSN : 1053-8119, ISSN électronique : 1095-9572)Published by Elsevier, 2021-09, Vol 238.
Cherfils, S. Gatti, C. Guillevin, A. Miranville and R. Guillevin, On a tumor growth model with brain lactate kinetics, Mathematical Medicine and Biology: A Journal of the IMA 39, 382-409, 2022.
Li, L. Cherfils, A. Miranville and R. Guillevin, A Cahn-Hilliard model with a proliferation term for the proliferative-to-invasive transition of hypoxic glioma cells, Communications in Mathematical Sciences 19, 1509-1532, 2021.
Li, A. Miranville and R. Guillevin, Cahn-Hilliard models for glial cells, Applied Mathematics and Optimization 84, 1821-1842, 2021.
Perrillat-Mercerot, A. Miranville, A. Agosti, E. Rocca, P. Ciarletta and R. Guillevin, Partial differential model of lactate neuro-energetics: analytic results and numerical simulations, Mathematical Medicine and Biology: A Journal of the IMA 38, 178-201, 2021.
Cherfils, S. Gatti, A. Miranville and R. Guillevin, Analysis of a model for tumor growth and lactate exchanges in a glioma, Discrete and Continuous Dynamical Systems S 14, 2729-2749, 2021.
Li, A. Miranville and R. Guillevin, A coupled Cahn-Hilliard model for the proliferative-to-invasive transition of hypoxic glioma cells, Quarterly of Applied Mathematics LXXIX, 383-394, 2021.
Li; L.Cherfils;A Miranville; et al.On a Cahn-Hilliard model for image segmentation.By: Mathematical methods in the applied sciences Volume: 44 Issue: 7 Pages: 5753-5766 Published: MAY 15 2021
E Tabouret, M Fabbro, D Autran, K Hoang-Xuan, L Taillandier, F Ducray, M Barrie, M Sanson, C Kerr, S Cartalat-Carel, A Loundou, R Guillevin, K Mokhtari, D Figarella-Branger, JY Delattre, O Chinot. TEMOBIC: Phase II Trial of Neoadjuvant Chemotherapy for Unresectable Anaplastic Gliomas: An ANOCEF Study. 2021 Mar 30. doi: 10.1002/onco.13765. Online ahead of print. PMID: 3378306
Tabouret, M. Fabbro, D. Autran, K. Hoang-Xuan, L. Taillandier, J. Honnorat, M. Barrie, M. Sanson, C. Kerr, P. Beauchesne, S. Cartalat-Carel, A. Loundou, R. Guillevin, K. Mokhtari, D. Figarella-Branger, JY. Delattre and O. Chinot.TEMOBIC: phase II trial of neoadjuvant chemotherapy for unresectable anaplastic gliomas. An ANOCEF Study The Oncologist. 2021 Accepted.
L Hatchondo, A Vallée, R Vallée, N Jaafari, S Maillochaud, Naudin, JN Vallée, R Guillevin, et C Guillevin. « Altered Phospholipid and High-Energy Phosphate Metabolism in the Basal Ganglia and Thalamus of Severe Obsessive-Compulsive Patients with Treatment Resistance: A Phosphorus 31 Nuclear Magnetic Resonance Spectroscopy Study ». Psychiatry Research. Neuroimaging 307 (30 janvier 2021): 111217.https://doi.org/10.1016/j.pscychresns.2020.111217.
Cherfils, H. Fakih, M. Grasselli and A. Miranville. A convergent convex splitting scheme for a nonlocal Cahn-Hilliard-Oono type equation with a transport term, ESAIM: Mathematical Modelling and Numerical Analysis. Accepté
Israa Alnazer, Omar Falou; Pascal Bourdon; Thierry Urruty; Rémy Guillevin; Mohamad Khalil; Ahmad Shahin; Christine Fernandez-Maloigne, Usefulness of CT Textural analysis in Renal Tumor Subtyping and Renal Cell Carcinoma Nuclear Grading, International Journal of Medical Informatics 2021
Herpe, Guillaume; Dambrine, Julien; Bennis, Ines; Guillevin, Rémy. Separation of perfusion phases in angiographies , AIMS MATHEMATICS Volume: 6 Issue: 1 Pages: 938-951 Published: 2021
Loubna Lechelek, Sylvain Gerbaud, Rita Zrour, Mathieu Naudin, Carole Guillevin, Sébastien Horna. Comparative Study of 3D Reconstruction Methods for Medical Imaging. CAD’21, Jul 2021, Extend version. Computer-Aided Design and Applications, Vol 19, num 5 : pp 1000-1014.
Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, Rémy Guillevin, « Investigating efficient CNN architecture for multiple sclerosis lesions segmentation » , Journal of Medical imaging, 2021 (IF 1.58). DOI: 10.1117/1.JMI.8.1.014504
Chu Rui Jian, Hermine Chatoux, Noël Richard, Jon Hardeberg, Christine Fernandez-Maloigne, « Hyperspectral Texture Metrology Based on Joint Probability of Spectral and Spatial Distribution » , IEE TIP (IF 6,8). DOI: 10.1109/TIP.2021.3071557
Israa Alnazer, Pascal Bourdon, Thierry Urruty, Omar Falou, Mohamad Khalil, Ahmad Shahin, Christine Fenandez-Maloigne, « Recent Advances in Medical Image Processing for the Evaluation of Chronic Kidney Disease » , Medical Image Analysis(IF 11.148) Pub Date : 2021-01-09 , DOI: https://doi.org/10.1016/j.media.2021.101960
Roca P, Attye A, Colas L, Tucholka A, Rubini P, Cackowski S, Ding J, Budzik JF, Renard F, Doyle S, Barbier EL, Bousaid I, Casey R, Vukusic S, Lassau N, Verclytte S, Cotton F, Guillevin R; Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI. OFSEP Investigators; Steering Committee; Investigators; Imaging group. Diagn Interv Imaging. 2020 Jul 7:S2211-5684(20)30155-8. doi: 10.1016/j.diii.2020.05.009. Online ahead of print. PMID: 32651155
Hatchondo L, Vallée A, Vallée R, Jaafari N, Maillochaud S, Naudin M, Vallée JN, Guillevin R,
Guillevin C, « Altered phospholipid and high-energy phosphate metabolism in the basal ganglia and thalamus of severe obsessive compulsive patients with treatment resistance: A phosphorus 31 nuclear magnetic resonance spectroscopy study » . Psychiatry Res Neuroimaging. 2020 Oct 29:111217. DOI: https://doi.org/10.1016/j.pscychresns.2020.111217. Online ahead of print. PMID: 33199172
Alexandre Vallee, Yves Lecarpentier, Rémy Guillevin, Jean-Noel Vallée, « The influence of circadian rhythms and aerobic glycolysis in Autism Spectrum Disorder by Translational Psychiatry, Transl Psychiatry » . 2020 Nov 16;10(1):400. DOI: https://doi.org/10.1038/s41398-020-01086-9. PMID: 33199680
Perrillat-mercerot Angelique, Miranville Alain, Bourmeyster Nicolas, Guillevin Rémy « What mathematical models can or cannot do in glioma description and understanding by: discrete and continuous dynamical systems-series » volume: 13 issue: 8 special issue: si pages: 2165-2193 published: aug 2020. DOI: 10.3934/dcdss.2020184
Hatchondo Laura, Guillevin Carole, Naudin Mathieu, Miranville Alain, Guillevin Remy, « Mathematical modeling of brain metabolites variations in the circadian rhythm » . AIMS Mathematics Volume: 5 Issue: 1 Pages: 216-225 2020. DOI: 10.3934/math.2020013
Vallée A, Vallée JN, Guillevin R, Lecarpentier Y, « Riluzole: A therapeutic strategy in Alzheimer’s disease by targeting the WNT/β-catenin pathway » . Aging (Albany NY). 2020 Feb 8;12(3):3095-3113. DOI: https://doi.org/10.18632/aging.102830. Epub 2020 Feb 8. PMID:32035419
A Vallée, Y Leacrpentier Rémy Guillevin, JN Vallée, « Circadian rythms, neuroinflammation and oxidative stress in the story of Parkinson’s disease Cells » 2020, 9, 314; DOI: https://doi.org/10.3390/cells9020314
A Vallée, Y Lecarpentier, Rémy Guillevin, JN Vallée, « Circadian Rhythms in Exudative Age-Related Macular Degeneration: The Key Role of the Canonical WNT/β-Catenin Pathway » Int. J. Mol. Sci. 2020, 21, 820; DOI: https://doi.org/10.3390/ijms21030820
2019
Guillevin C, Agius P, Naudin M, Herpe G, Ragot S Maubeuge N, Neau JP, Guillevin R. « 31P-1H magnetic resonance spectroscopy: effect of Biotin in multiple sclerosis » Ann Clin Transl Neurol. 2019 Jul;6(7):1332-1337. DOI: https://doi.org/10.1002/acn3.50825. Epub 2019 Jun 27
Perrillat-Mercerot A, Bourmeyster N, Guillevin C, Miranville A, Guillevin R , « Mathematical Modeling of Substrates Fluxes and Tumor Growth in the Brain » . Acta Biotheor. 2019 Mar 13. DOI: https://doi.org/10.1007/s10441-019-09343-1. [Epub ahead of print] PMID:30868396
Perrillat-Mercerot A, Guillevin C, Miranville A, Guillevin R, « Using mathematics in MRI data management for glioma assesment » . J Neuroradiol. 2019 Dec 4. pii: S0150-9861(19)30469-9. DOI: https://doi.org/10.1016/j.neurad.2019.11.004. [Epub ahead of print] PMID:31811826
Perrillat-Mercerot A, Bourmeyster N, Guillevin C, Miranville A, Guillevin R, « Analyse of a mathematical model for the glutamate/glutamine cycle Bulletin of mathematical biology » , 2019 Oct;81(10):4251-4270. DOI: https://doi.org/10.1007/s11538-019-00647-4. Epub 2019 Jul 19. PMID:31325013
H Chatoux, N Richard, F Lecellier, C Fernandez-Maloigne, « Full-vector gradient for multispectral and multivariate images » , in JOSA A, invited paper, 2019 (IF 1.566). https://hal.archives-ouvertes.fr/hal-02378882/document
Romuald Perrot, Pascal Bourdon, David Helbert, « A Confidence-based Dynamic Optimization Model for Biomedical Image Mosaicking Journal of the Optical Society of America » . A Optics, JOSA A Image Science, and Vision, Optical Society of America, 2019, 36 (11), pp.C28. https://hal.archives-ouvertes.fr/hal-02297793/document
M Conti, S Gatti, A Miranville, « Mathematical analysis of a model for proliferative-to-invasive transition of hypoxic glioma cells » . Nonlinear Analysis 189, Article 111572 (17). DOI: https://doi.org/10.1016/j.na.2019.111572
Bonnin, P. Bourdon, C. Guillevin, R. Guillevin, C. Giraud and C. Maloigne-Fernandez. Magnetic Resonance Spectroscopy (MRS) transforming multiple sclerosis (MS) diagnosis. 2025 Science Talks, Volume 13, ISSN 2772-5693, Vidéo, Journal Elsevier, 2025. https://www.sciencedirect.com/science/article/pii/S277256932500009X
Bonnin, P. Bourdon, C. Guillevin, R. Guillevin, C. Giraud and C. Maloigne-Fernandez. Physic informed neural network for fitting ultra-high-field magnetic resonance spectrum. 2024 Fifth International conference on BioMedical Engineering (IBioMed), University Gadjah Mada (UGM),Yogyakarta, Bali, Indonesia, 2024. https://ibiomed.ugm.ac.id/2024/.
Bonnin,W.Ramchi, P. Bourdon, C. Guillevin, R. Guillevin, C. Giraud and C. Maloigne-Fernandez. MR Spectroscopy Sprectrum Fitting using a Physically Informed Neural Network. 2024 Fifth International conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), MICCAISociety Endorsed Event, University Manchester, Manchester, United Kingdom, 2024. https://www.micad.org/index.html
Gerbaud S, Horna S, Zrour R, Naudin M, Guillevin C, Meseure P. 3D Model for Representation and Visualization of Magnetic Resonance Spectroscopy Data [Internet]. In: Annual CAD conference (CAD’24). Eger, Hungary: U-turn Press LLC (El Paso, TX, USA); 2024 [cited 2024 Aug 27]. p. 77–81.Available from: https://hal.science/hal-04509297
Hayssam Abd Alaziz Obeid, Rita Zrour, Bruno Mercier, Sébastien Horna, Carole Guillevin, Mohamad Khalil. 3D Modeling for Multimodal Visualization of Medical Data, CAD’23, Jul 2023, Mexico City, Mexico
Guang Yang, Arvind Rao, Christine Fernandez Maloigne, Vince D. Calhoun, Gloria Menegaz,EXPLAINABLE AI (XAI) IN BIOMEDICAL SIGNAL AND IMAGE PROCESSING: PROMISES AND CHALLENGES, IEEE ICIP 2022, Bordeaux 16-19 october 2022
Matthieu coupet , thierry.urruty, remy.guillevin – christine.fernandez, Mathieu.NAUDIN – guillaume.herpe – hakim.ferrier.belhaouari, Reconstruction of the cerebral vascular tree using autoencoder in 3D model from 2D image acquisition, MICCAI2022
Huy Do, Pascal Bourdon, David Helbert, Mathieu Naudin, Rémy Guillevin. 7T MRI super-resolution with Generative Adversarial Network, IS&T Electronic Imaging 2021 Symposium, jan 2021, San Francisco,United States, en ligne.
Loubna Lechelek, Sylvain Gerbaud, Rita Zrour, Mathieu Naudin, Carole Guillevin, Sébastien Horna. Comparative Study of 3D Reconstruction Methods for Medical Imaging. Computer-Aided Design and Applications annual CAD conference 2021 CAD’21, Jul 2021, Barcelona, Spain. pp.198-2022
Sylvain Gerbaud, Sébastien Horna, Rita Zrour, Mathieu Naudin, et al.. Reconstruction and topological cleaning of brain MR Images – International Conference on Advances in Biomedical Engineering (Icabme21)
Saifuddin RJIBA, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne, Roger Delepaul, Luc-Philippe CHRISTIAENS and Remy Guillevin ANEURYSMNET: DEEP NEURAL NETWORK-BASED SEGMENTATION OFANEURYSMS IN 3D-MRANGIOGRAPHY, MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, will be held from October 4th to 8th, 2020 in Lima, Peru. MICCAI 2020
Matthieu Coupet, Thierry Urruty, Teerapong Leelanupab, Pascal Bourdon, Mathieu Naudin, Christine Fernandez-Maloigne, and Remy Guillevin An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences., The 27th International Conference on Neural Information Processing (ICONIP)
Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, et Remy Guillevin. Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. 3D Measurement and Data Processing, IS&T Electronic Imaging 2020 Symposium, Jan 2020, San Francisco, United States https://hal.archives-ouvertes.fr/hal-02378210/document BEST PAPER AWARD
Ben-Ahmed, S Fezzani, C Guillevin, L Fezai, M Naudin, B Gianelli, C Fernandez. « DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data », IEEE International Symposium on Biomedical Imaging (ISBI) 2020, 3-7 April 2020, Lowa CIty, USA
Israa Alnazer, Pascal Bourdon, Thierry Urruty, Omar Falou, Mohamad Khalil, Ahmad Shahin and Christine Fernandez-Maloigne, Renal Function Evaluation Survey: Artificial Intelligence for the Next Decade? MIBEC 2020, Kuala Lumpur Malaysia, 18 octobre 2020
Saifeddine RJIBA, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne, Roger Delepaul, Luc-Philippe CHRISTIAENS and Remy Guillevin, “CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural Network”, Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Paris, France, 9-12 nov 2020
Paul Dequidt, Pascal Bourdon, Benoit Tremblais, Carole Guillevin, Benoit Gianell, Claire Boutet, Jean-Philippe Cottier, Jean-Noel Vallée, Christine Fernandez-Maloigne, Rémy Guillevin, Assigning a new glioma grade label ground truth:for the BraTS dataset using radiologic criteria; IPTA 2020, International Conference on Image Processing, Paris, France, 9-12 nov 2020
Jian Chu, Noel Richard, Christine Fernandez-Maloigne, Jon Yngve Hardeberg, Relative Spectral Difference Occurrence Matrix: A Metrological Spectral-spatial Feature for Hyperspectral Texture Analysis, CIC27, Oct 21, 2019 – Oct 25, 2019, Paris , France, 2019
Paul Dequidt, Pascal Bourdon, Olfa Ben Ahmed, Benoit Tremblais, Carole Guillevin, Mathieu Naudin, Christine Fernandez-Maloigne, Rémy Guillevin, Recent advances in Glioma grade classification using machine and deep learning on MR data, IEEE ICABME, Tripoli-Lebanon , October 17-18, 2019
Israa Alnazer , Pascal Bourdon, Thierry Urruty, Carole Guillevin, Mathieu Naudin, Mohamad Khalil, Ahmad M. Shahin, Omar Falou, Christine Fernandez-Maloigne, ADC Maps Texture Analysis for the Evaluation of Kidney Function: A Preliminary Study, IEEE ICABME, Tripoli-Lebanon , October 17-18, 2019
Rui Jian Chu, Noel Richard, Faouzi Ghorbel, Christine Fernandez-Maloigne, Jon Yngve Hardeberg, A metrological framework for hyperspectral texture analysis using Relative Spectral Difference Occurrence Matrix, WHISPERS (10th Workshop on Hyperspectral Image and Signal Processing), 24 – 26 September 2019, Amsterdam, 2019
Rui Jian Chu, Noel Richard, Christine Fernandez-Maloigne, Jon Yngve Hardeberg _A METROLOGICAL MEASUREMENT OF TEXTURE IN HYPERSPECTRAL IMAGES USING RELOCATED SPECTRAL DIFFERENCE OCCURRENCE MATRIX, ICIP, Tapei, September 22-25, 2019
Martin Valls,Pascal Bourdon, Christine Fernandez-Maloigne, Guillaume Herpe, David Helbert. Modèle de Diffusion avec Pont Brownien pour la translation d’image cérébrale. Colloque français d’intelligence artificielle en imagerie biomédicale (IABM 2025), Mar 2025, Nice, France. ⟨hal-04896876⟩
Xavier Le Guillou Du pixel au gène : corrélation radiogénomique dans le gliome de l’adulte par intelligence artificielle, revue systématique et promesse d’une biopsie virtuelle. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Pierre Fayolle L’intelligence artificielleen IRM de perfusion cérébrale appliquée aux gliomes et AVC. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Céline Thomarat Analyse en IRM des méningiomes intracrâniens basée sur la radiomique en intelligence artificielle. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Rodolphe Vallée Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Clément Giraud Est-ce que le métabolisme cérébral mesuré enspectroscopie par résonance magnétique du proton suit une variation circadienne ? Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Landoline Bonnin Réseau neuronal à information physique pour l’ajustement des spectres de résonance magnétique ultra haut champ. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Mathieu Naudin & Carole Guillevin L’imagerie Sodium à 7T. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Pr Luc Pellerin Imagerie cérébrale fonctionnelle : Que regardons-nous au juste ? Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Martin Valls Utilisation des modèles de diffusion en imagerie médicale
Charles Lepaire Exploitation des adjacences locales pour la construction parallèle d’une variante du graphe de Reeb : cas de l’arbre vasculaire cérébral. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Clément Thomas Fusion de données angiographiques XA et IRM pour la reconstruction de l’hémodynamique cérébrale 3D. Société Française de Biologie Théorique (SFBT) 2024 Poitiers FRANCE
Clément Giraud, Carole Guillevin, Ludovic Blanchard, Adrien Julian, Rémy Guillevin. Etude du profil du métabolisme phosphorylé comme biomarqueur prédictif du déclin cognitif dans le cadre de la plainte mnésique. Journées Francophones de Radiologie, Palais des Congrès de Paris, octobre 2022.
Laura Velu, Carole Guillevin, A Julian, L Pellerin, Blanchard, C. Giraud, JN Vallée, R Guillevin. Intérêt de l’exploration du GABA et du Glutamate en spectroscopie par résonance magnétique du proton dans la plainte cognitive. Journées Francophones de Radiologie, Palais des Congrès de Paris, octobre 2022.
Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien julian, Christine Fernandez-Maloigne et Rémy Guillevin. Réseau neuronal profond faiblement supervisé pour la détection précoce de la démence à l’aide de données SRM. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Li Lu “Cahn-Hilliard Models for Glial Cells. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Carole Guilevin, Clément Giraud. Etude du profil du métabolisme phosphorylé comme biomarqueur prédictif du déclin cognitif dans le cadre de la plainte mnésique. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Alexandre Fenneteau. Segmentation automatiques des lésions de sclérose en plaques en adéquation avec les contraintes cliniques. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Guillaume Herpe. AVC sylviens thrombectomisés (i) élaboration d’un modèle prédictif de restitution d’arborescence ; (ii) création d’un modèle réaliste métabolique du parenchyme cérébral ischémié. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Matthieu Coupet. Reconstruction du modèle de l’arbre vasculaire cérébral en 3D à partir de d’acquisitions 2D. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE
Adrien Raison. Highlighting gender differentiation through explained deep classifier. Société Française de Biologie Théorique (SFBT) 2022 Poitiers FRANCE.
Julien Dambrine. Assimilation de données pour la propagation de fronts. Société Française de Biologie Théorique (SFBT) 2022 Poitiers France
Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien julian, Christine Fernandez-Maloigne et Rémy Guillevin, Intelligence Artificielle pour l’aide au diagnostic et à la prédiction des maladies neurodégénératives Plate-Forme Intelligence Artificielle (PFIA 2021) Bordeaux, France
Sylvain Gerbaud, Sébastien Horna, Rita Zrour, Philippe Meseure. Reconstruction topologique 3D de plusieurs objets sémantiques à partir de données médicales volumétriques discrètes – Conférence JFIG 2021 – Sophia Antipolis.
Miranville. colloque « PHAse-field Methods in applied sciences – PHAME2022 » (session spéciale en l’honneur de Maurizio Grasselli à l’occasion de son 60ème anniversaire en mai 2022 à Rome (Italie). Titre : The Cahn-Hilliard equation with a nonlinear source term.
Miranville. au colloque en l’honneur de Pierre Fabrie en juin 2022 à Bordeaux. Titre : L’équation de Cahn-Hilliard avec un terme source.
Miranville .8th AMARENA Days » en mai 2022 à Amiens. Titre : Mathematical models for glial cells.
Rémy Guillevin, Journées Francophones de Radiologie, Palais des Congrès de Paris, octobre 2021
Christine Fernandez-Maloigne, IA et RMN : l’exemple neuro-oncologique ; Journées Francophones de Radiologie, Palais des Congrès de Paris, octobre 2021
Pascal Bourdon, Augmented medicine : knowledge matter, IEEE ICABME Wardanyeh, Lebanon, Friday October 8th, 2021, on line
Christine Fernandez Maloigne, AI and NMR : the neuro-oncological example, IEEE ICABME Wardanyeh, Lebanon, Tuesday October 7th, 2021, on line
Christine Fernandez Maloigne, Appearance, colour and texture , Annual January Vision Meeting of the Colour Group (GB). Wednesday 8th of January 2020 at City University, London, UK
Christine Fernandez-Maloigne, IA et RMN : l’exemple neuro-oncologique, JFR 2020
Rémy Guillevin, Modélisation biomathématique et IA en RMN : suivi des gliomes, JFR 2020
Alain Miranville, Mathematical models for brain lactate kinetics, Bio Dynamics Days 2020, organisé par visio-conférence en juin-juillet 2020 par l’Université du Havre et le Courant Institute, NYU, NY, USA
Alain Miranville, Mathematical models for glial cells, Infinite dimensional dynamical systems and attractors, organisé par visio-conférence en août 2020 par l’Université de Lanzhou, Lanzhou, Chine
Christine Fernandez-Maloigne, IA et imagerie en Neuro-oncologie, congres annuel ANOCEF, Association des Neuro-oncologues d’Expression Françaises. Poitiers 14-15 juin 2019
Christine Fernandez-Maloigne, Artificial Intelligence for women’s imaging and health, ICABME Tripoli-Lebanon on October 17-18, 2019
Alain Miranville, The Cahn-Hilliard equation with a proliferation term, Recent advances in phase-field modeling: from engineering to biology, mai 2019, Universita Pavia (Italie)
Alain Miranville, conférencier principal (10 exposés), NSF-CBMS Conference: The Cahn-Hilliard Equation: Recent Advances and Applications, mai 2019, Burns, TN (USA). Les NSF-CBMS conferences constituent une séries de conférences particulièrement prestigieuses et sélectives aux USA. Des tables rondes sur les applications en médecines ont également été organisées
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