Publications

  • Publications
Fil d'ariane

    Nos publications

    Livres

    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

    Participations à un ouvrage collectif

    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

    Revues internationales

    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

    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

    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

    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

    Conférences internationales

    Huy Do, Pascal Bourdon, David Helbert, Mathieu Naudin, Rémy Guillevin. « 7T MRI super-resolution with Generative Adversarial Network » , IS&T Electronic Imaging 2021 Symposium, 2021, San Francisco, United States, en ligne. DOI: 10.2352/ISSN.2470-1173.2021.18.3DIA-106

    Saifeddine Rjiba, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne, Roger Delepaul, Luc-Philippe Christiaens, Remy Guillevin « Aneurysm net: deep neural network based segmentation of aneurysms in 3d-mr angiography« , 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, Remy Guillevin, « An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences » , The 27th International Conference on Neural Information Processing (ICONIP). DOI: 10.1007/978-3-030-63830-6_10

    Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe Habas, 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 Endto-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. DOI: 10.1109/ISBI45749.2020.9098419

    Israa Alnazer, Pascal Bourdon, Thierry Urruty, Omar Falou, Mohamad Khalil, Ahmad Shahin, Christine Fernandez-Maloigne, « Renal Function Evaluation Survey: Artificial Intelligence for the Next Decade? » MIBEC 2020, Kuala Lumpur Malaysia, 18 octobre 2020. DOI: 10.1109/ICECIE50279.2020.9309636

    Saifeddine Rjiba, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne, Roger Delepaul, Luc-Philippe Christiaens, Remy Guillevin, « CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural » , Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Paris, France, 9-12 nov 2020. DOI: 10.1109/IPTA50016.2020.9286458

    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. DOI: 10.1109/IPTA50016.2020.9286707

    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. DOI: https://doi.org/10.2352/issn.2169-2629.2019.27.69

    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. DOI: 10.1109/ICABME47164.2019.8940295

    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. DOI: 10.1109/ICABME47164.2019.8940285

    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. DOI: 10.1109/WHISPERS.2019.8921335

    Conférences invitées

    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

    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, 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

    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

    Archive Ouverte - HAL

    L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion d’articles scientifiques de niveau recherche, publiés ou non, et de thèses, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

    Communication dans un congrès (22 documents)
    • Pierre Fayolle, Alexandre Bône, Noëlie Debs, Mathieu Naudin, Pascal Bourdon, et al.. Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. International Symposium on Biomedical Imaging (ISBI 2025), Institute of Electrical and Electronics Engineers (IEEE), Apr 2025, Houston (Texas), United States. ⟨hal-04872430⟩
    • 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⟩
    • Sylvain Gerbaud, Sébastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin, et al.. 3D Model for Representation and Visualization of Magnetic Resonance Spectroscopy Data. Annual CAD conference (CAD'24), Computer-Aided Design (CAD), Jul 2024, Eger, Hungary. pp.77-81, ⟨10.14733/cadconfP.2024.77-81⟩. ⟨hal-04509297⟩
    • Hayssam Abd Alaziz Obeid, Bruno Mercier, Rita Zrour, Sébastien Horna, Mathieu Naudin, et al.. 3D Multimodal Visualization of Medical Data: Applied to Perfusion-Weighted MRI. 2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME), Oct 2023, Beirut, France. pp.167-173, ⟨10.1109/ICABME59496.2023.10293096⟩. ⟨hal-04406349⟩
    • Huy Do, Pascal Bourdon, David Helbert, Remy Guillevin. Contrast enhanced MRI synthesis on glioma subjects using generative adversarial networks. Seventh International Conference on Advances in Biomedical Engineering (ICABME 2023), Oct 2023, Beirut, Lebanon. pp.70-74, ⟨10.1109/ICABME59496.2023.10293027⟩. ⟨hal-03861011⟩
    • Alaziz A. A. Obeid, R. Zrour, B. Mercier, Sébastien Horna, C. Guillevin, et al.. 3D Modeling for Multimodal Visualization of Medical Data. Annual CAD Conference, May 2023, Mexico CIty, France. pp.195-199, ⟨10.14733/cadconfP.2023.195-199⟩. ⟨hal-04406312⟩
    • Adrien Raison, Théo Biardeau, Pascal Bourdon, David Helbert. Face expressions understanding by geometrical characterization of deep human faces representation. Electronic Imaging, IS&T, Jan 2023, San Francisco (CA), United States. pp.292-1-292-6, ⟨10.2352/EI.2023.35.9.IPAS-292⟩. ⟨hal-03737727⟩
    • Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien Julian, et al.. 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, Oct 2022, Bordeaux, France. ⟨hal-03770640⟩
    • Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Christine Fernandez-Maloigne, et al.. MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging. 5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Sep 2022, Singapore, Singapore. ⟨hal-03770657⟩
    • Adrien Raison, Pascal Bourdon, David Helbert. ScoreCAM GNN : une explication optimale des réseaux profonds sur graphes. XXVIIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03686265⟩
    • Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe N Habas, et al.. CNN for multiple sclerosis lesion segmentation: How many patients for a fully supervised method?. International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.30-33, ⟨10.1109/ICABME53305.2021.9604859⟩. ⟨hal-03335735⟩
    • Sylvain Gerbaud, Sébastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin, et al.. Reconstruction and topological cleaning of brain MR Images. 2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME), Oct 2021, Werdanyeh, Lebanon. pp.89-92, ⟨10.1109/ICABME53305.2021.9604811⟩. ⟨hal-04085543⟩
    • Huy Quang Do, David Helbert, Pascal Bourdon, Mathieu Naudin, Carole Guillevin, et al.. 3T MRI super-resolution using 3D cycle-consistent generative adversarial network. International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.85-88, ⟨10.1109/ICABME53305.2021.9604810⟩. ⟨hal-03335726⟩
    • Adrien Raison, Pascal Bourdon, Christophe N Habas, David Helbert. Explicability in resting-state fMRI for gender classification. International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.5-8, ⟨10.1109/ICABME53305.2021.9604842⟩. ⟨hal-03335712⟩
    • Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe N Habas, et al.. Siamese convolutional neural network for new multiple sclerosis lesion segmentation. MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MICCAI 2021, Sep 2021, Strasbourg, France. ⟨hal-03359032⟩
    • Loubna Lechelek, Sylvain Gerbaud, Rita Zrour, Mathieu Naudin, Carole Guillevin, et al.. Comparative Study of 3D Reconstruction Methods for Medical Imaging. CAD'21, Jul 2021, Barcelona, Spain. pp.198-202, ⟨10.14733/cadconfP.2021.198-202⟩. ⟨hal-03247845⟩
    • Huy Quang Do, Pascal Bourdon, David Helbert, Mathieu Naudin, Rémy Guillevin. 7T MRI super-resolution with Generative Adversarial Network. IS&T Electronic Imaging 2021 Symposium, 2021, San Francisco, United States. ⟨10.2352/ISSN.2470-1173.2021.18.3DIA-106⟩. ⟨hal-03003045⟩
    • Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe N Habas, et al.. Apprentissage d’un CNN sur la segmentation des lésions de sclérose en plaques avec auto-supervision. RFIAP, Jun 2020, Vannes, France. ⟨hal-03541662⟩
    • Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe N Habas, et al.. 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. ⟨10.2352/ISSN.2470-1173.2020.17.3DMP-002⟩. ⟨hal-02378210⟩
    • Simon Courtin, Sébastien Horna, Mickaël Ribardière, Daniel Meneveaux. Arrondis et simulation d'éclairage basée rayons : une structure dédiée aux surfaces implicites. Journées françaises de l'informatique graphique 2019 (JF.IG.RV 2019 Marseille), Association française d’informatique graphique (AFIG); European Association for Computer Graphics (Eurographics), chapitre français (; Groupement de recherche en informatique géométrique et graphique, réalité virtuelle et visualisation (GDR 3000), Nov 2019, Marseille, France. ⟨hal-04549441⟩
    • Israa Alnazer, Pascal Bourdon, Thierry Urruty, Carole Guillevin, Mathieu Naudin, et al.. ADC Maps Texture Analysis for the Evaluation of Kidney Function: A Preliminary Study *. 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME), Oct 2019, Tripoli, Lebanon. pp.1-4, ⟨10.1109/ICABME47164.2019.8940285⟩. ⟨hal-02428470⟩
    • David Reymond, Nathalie Pinède. Terminologie hypertexte : dynamique temporelle d’une taxonomie. Colloque international sur le document électronique, Dec 2011, Rabat, Maroc. ⟨hal-02612481⟩
    Article dans une revue (29 documents)
    • Landoline Bonnin, Pascal Bourdon, Carole Guillevin, Rémy Guillevin, Clément Giraud, et al.. Magnetic Resonance Spectroscopy (MRS) transforming multiple sclerosis (MS) diagnosis. Science Talks, 2025, 13, pp.100427. ⟨10.1016/j.sctalk.2025.100427⟩. ⟨hal-04945352⟩
    • Tatiana Borisova, Juan Felipe Salazar Ariza, Natalia Pozdnyakova, Natalia Krisanova, Artem Pastukhov, et al.. Engineered biodegradables fibres for brain metal ion regulation. International Journal of Biological Macromolecules, 2025, 315, pp.144346. ⟨10.1016/j.ijbiomac.2025.144346⟩. ⟨hal-05110664⟩
    • Sylvain Gerbaud, Arthur Cavalier, Sébastien Horna, Rita Zrour, Mathieu Naudin, et al.. Topological 3D reconstruction of multiple anatomical structures from volumetric medical data. Computers and Graphics, 2024, 121, pp.103947. ⟨10.1016/j.cag.2024.103947⟩. ⟨hal-04620010⟩
    • Hayssam A. A. Obeid, Rita Zrour, Bruno Mercier, Sébastien Horna, Carole Guillevin, et al.. 3D Modeling for Multimodal Visualization of Medical Data. Computer-Aided Design and Applications, 2024, 21 (5), pp.778-790. ⟨10.14733/cadaps.2024.778-790⟩. ⟨hal-04406282⟩
    • Mathieu Severyns, François Zot, Ghina Harika-Germaneau, Arnaud Germaneau, Guillaume Herpe, et al.. Extrusion and meniscal mobility evaluation in case of ramp lesion injury: a biomechanical feasibility study by 7T magnetic resonance imaging and digital volume correlation. Frontiers in Bioengineering and Biotechnology, 2024, 11, pp.1289290. ⟨10.3389/fbioe.2023.1289290⟩. ⟨hal-04699157⟩
    • Lu Li. On a Cahn–Hilliard–Oono model for image segmentation. Asymptotic Analysis, 2023, 132 (3-4), pp.519-548. ⟨10.3233/ASY-221801⟩. ⟨hal-04479890⟩
    • Pascal Bourdon, David Helbert, Rémy Guillevin. Une irm semi-générative par IA. Journal de Neuroradiologie / Journal of Neuroradiology, 2023, 50 (2), pp.117-118. ⟨10.1016/j.neurad.2023.01.030⟩. ⟨hal-04032328⟩
    • Rémy Guillevin, Anja van Der Kolk. Editorial: Ultrahigh field metabolic MRI: Current status, clinical applications, and future perspectives. Frontiers in Neurology, 2023, 14, pp.1119965. ⟨10.3389/fneur.2023.1119965⟩. ⟨hal-04828076⟩
    • Lobna Fezai, Thierry Urruty, Pascal Bourdon, Chrsitine Fernandez-Maloigne. Deep anonymization of medical imaging. Multimedia Tools and Applications, 2022, 82 (6), pp.9533-9547. ⟨10.1007/S11042-022-13686-2⟩. ⟨hal-04538315⟩
    • Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien Julian, et al.. Attention-Guided Neural Network for Early Dementia Detection Using MRS data. Computerized Medical Imaging and Graphics, 2022, 99, pp.102074. ⟨10.1016/j.compmedimag.2022.102074⟩. ⟨hal-03684564⟩
    • Angélique Perrillat-Mercerot, Nadine Déliot, Alain Miranville, Rémy Guillevin, Bruno Constantin. Mathematical Analysis of Membrane Transporters Dynamics: A Calcium Fluxes Case Study. Acta Biotheoretica, 2022, 70 (2), pp.44. ⟨10.1007/s10441-022-09437-3⟩. ⟨hal-03856308⟩
    • Loubna Lechelek, Sébastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin. A Hybrid Method for 3D Reconstruction of MR Images. Journal of Imaging, 2022, ⟨10.3390/jimaging8040103⟩. ⟨hal-03634100⟩
    • Matthieu Coupet, Thierry Urruty, Teerapong Leelanupab, Mathieu Naudin, Pascal Bourdon, et al.. A multi-sequences MRI deep framework study applied to glioma classfication. Multimedia Tools and Applications, 2022, 81 (10), pp.13563-13591. ⟨10.1007/s11042-022-12316-1⟩. ⟨hal-04742107⟩
    • Hélène Roumes, Stéphane Sanchez, Imad Benkhaled, Valentin Fernandez, Pierre Goudeneche, et al.. Neuroprotective Effect of Eco-Sustainably Extracted Grape Polyphenols in Neonatal Hypoxia-Ischemia. Nutrients, 2022, 14 (4), pp.773. ⟨10.3390/nu14040773⟩. ⟨hal-04632228⟩
    • Loubna Lechelek, Sylvain Gerbaud, Rita Zrour, Mathieu Naudin, Carole Guillevin, et al.. Comparative Study of 3D Reconstruction Methods for Medical Imaging. Computer-Aided Design and Applications, 2022, 19 (5), pp.1000-1014. ⟨10.14733/cadaps.2022.1000-1014⟩. ⟨hal-03248892⟩
    • Hélène Roumes, Charlotte Jollé, Jordy Blanc, Imad Benkhaled, Carolina Piletti Chatain, et al.. Lactate transporters in the rat barrel cortex sustain whisker-dependent BOLD fMRI signal and behavioral performance. Proceedings of the National Academy of Sciences of the United States of America, 2021, 118 (47), pp.e2112466118. ⟨10.1073/pnas.2112466118⟩. ⟨hal-03826912⟩
    • Thien Huong Nguyen, Alexis Vaussy, Violette Le Gaudu, Jennifer Aboab, Sophie Espinoza, et al.. The brainstem in multiple sclerosis: MR identification of tracts and nuclei damage. Insights into Imaging, 2021, 12 (1), ⟨10.1186/s13244-021-01101-7⟩. ⟨hal-03420510⟩
    • P. Dequidt, Pascal Bourdon, B. Tremblais, C. Guillevin, B. Gianelli, et al.. Exploring Radiologic Criteria for Glioma Grade Classification on the BraTS Dataset. Innovation and Research in BioMedical engineering, 2021, ⟨10.1016/j.irbm.2021.04.003⟩. ⟨hal-03330550⟩
    • Alain Miranville, Guillaume Cantin, M. Aziz-Alaoui. Bifurcations and Synchronization in Networks of Unstable Reaction–Diffusion Systems. Journal of Nonlinear Science, 2021, 31 (2), ⟨10.1007/s00332-021-09701-9⟩. ⟨hal-03189543⟩
    • Alexandre Fenneteau, Pascal Bourdon, David Helbert, Christine Fernandez-Maloigne, Christophe N Habas, et al.. Investigating efficient CNN architecture for multiple sclerosis lesion segmentation. Journal of Medical Imaging, 2021, 8 (1), ⟨10.1117/1.JMI.8.1.014504⟩. ⟨hal-03116147⟩
    • Guillaume Herpe, Julien Dambrine, Inès Bennis, Clément Thomas, Stéphane Velasco, et al.. Separation of perfusion phases in angiographies. AIMS Mathematics, 2021, 6 (1), pp.938-951. ⟨10.3934/math.2021056⟩. ⟨hal-03347373⟩
    • Laura Hatchondo, Alexandre Vallée, Rodolphe Vallée, Nemat Jaafari, Sylvie Maillochaud, et al.. 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, 2021, 307, pp.111217. ⟨10.1016/j.pscychresns.2020.111217⟩. ⟨hal-03482141⟩
    • Lu Li. On a coupled Cahn–Hilliard/Cahn–Hilliard model for the proliferative-to-invasive transition of hypoxic glioma cells. Communications on Pure and Applied Analysis, 2021, 44 (7), pp.1545. ⟨10.3934/cpaa.2021032⟩. ⟨hal-04479764⟩
    • Lu Li, Laurence Cherfils, Alain Miranville, Rémy Guillevin. A Cahn–Hilliard model with a proliferation term for the proliferative-to-invasive transition of hypoxic glioma cells. Communications in Mathematical Sciences, 2021, 19 (6), pp.1509-1532. ⟨10.4310/CMS.2021.v19.n6.a3⟩. ⟨hal-04479880⟩
    • Lu Li, Laurence Cherfils, Alain Miranville, Philippe Rogeon, Rémy Guillevin. On a Cahn‐Hilliard model for image segmentation. Mathematical Methods in the Applied Sciences, 2020, 44 (7), pp.5753-5766. ⟨10.1002/mma.7146⟩. ⟨hal-04480976⟩
    • Lu Li, Alain Miranville, Rémy Guillevin. A coupled Cahn–Hilliard model for the proliferative-to-invasive transition of hypoxic glioma cells. Quarterly of Applied Mathematics, 2020, 79 (2), pp.383-394. ⟨10.1090/qam/1585⟩. ⟨hal-04479865⟩
    • Lu Li, Alain Miranville, Rémy Guillevin. Cahn–Hilliard Models for Glial Cells. Applied Mathematics and Optimization, 2020, 84 (2), pp.1821-1842. ⟨10.1007/s00245-020-09696-x⟩. ⟨hal-04479855⟩
    • Laura Hatchondo, Carole Guillevin, Mathieu Naudin, Laurence Cherfils, Alain Miranville, et al.. Mathematical modeling of brain metabolites variations in the circadian rhythm. AIMS Mathematics, 2020, 5 (1), pp.216-225. ⟨10.3934/math.2020013⟩. ⟨hal-02499345⟩
    • Christine Fernandez-Maloigne, Rémy Guillevin. L’intelligence artificielle au service de l’imagerie et de la santé des femmes. Imagerie de la Femme, 2019, 29, pp.179 - 186. ⟨10.1016/j.femme.2019.09.001⟩. ⟨hal-03489135⟩
    Pré-publication, Document de travail (5 documents)
    • anouar kherchouche, Olfa Ben Ahmed, Carole Guillevin, Julien Adrien, Christine Fernandez-Maloigne, et al.. Fine-grained dementia classification using Adversarial contrastive learning. 2023. ⟨hal-04137990⟩
    • Adrien Raison, Pascal Bourdon, David Helbert. EiX-GNN : Concept-level eigencentrality explainer for graph neural networks. 2023. ⟨hal-03686299v5⟩
    • Renata Porciuncula Baptista, Mathieu Naudin, Chaithya Giliyar Radhakrishna, Guillaume Daval-Frérot, Franck Mauconduit, et al.. Accelerated sodium MRI using undersampled 3D SPARKLING at 7T. 2023. ⟨hal-03929787⟩
    • Adrien Raison, Pascal Bourdon, David Helbert. ScoreCAM GNN : a generalization of an optimal local post-hoc explaining method to any geometric deep learning models. 2022. ⟨hal-03808171v1⟩
    • Alexandre Fenneteau, David Helbert, Pascal Bourdon, Imane M'Rabet, Christine Fernandez-Maloigne, et al.. A size-adaptative segmentation method for better detection of multiple sclerosis lesions. 2022. ⟨hal-03836787⟩
    Poster (1 document)
    • Pierre Goudeneche, Imad Benkhaled, Flavie Perrin, Marie-Christine Beauvieux, Jean-François Chateil, et al.. Polyphénols de raisin extraits de manière éco-durable : neuroprotection dans l'hypoxie-ischémie néonatale. Approche nutritionnelle intergénérationnelle. SFRMBM, Mar 2023, PARIS, France. ⟨hal-04632786⟩
    Poster (2 documents)
    • Lidija Čomić, Rita Zrour, Gaëlle Largeteau-Skapin, Ranita Biswas, Eric Andres. Body Centered Cubic Grid - Coordinate System and Discrete Analytical Plane Definition. 12708, Springer International Publishing, pp.152-163, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-76657-3_10⟩. ⟨hal-04094924⟩
    • Eric Andres, Gaëlle Largeteau-Skapin, Rita Zrour. Shear Based Bijective Digital Rotation in Hexagonal Grids. 12708, Springer International Publishing, pp.217-228, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-76657-3_15⟩. ⟨hal-04094932⟩
    Chapitre d'ouvrage (1 document)
    • Pascal Bourdon, Olfa Ben Ahmed, Thierry Urruty, Khalifa Djemal, Christine Fernandez-Maloigne. Explainable AI for Medical Imaging: Knowledge Matters. Multi-faceted Deep Learning, Springer International Publishing, pp.267--292, 2021, ⟨10.1007/978-3-030-74478-6_11⟩. ⟨hal-03612280⟩

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