François Rousseau
- Laboratoire de Traitement de l'Information Medicale (LaTIM)
- Département de Science des Données (IMT Atlantique - DSD)
Publications
Publications
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L’imagerie cérébrale néonataleLe corps en images. Les nouvelles technologies d'imagerie pour la santé, pp.146-159, 2022, 978-2-271-14330-3 |
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In Vivo Fetal Brain Analysis Using MR ImagingFetal Development: Research on Brain and Behavior, Environmental Influences, and Emerging Technologies, Springer, pp.407 - 427, 2016, 978-3-319-22022-2. ⟨10.1007/978-3-319-22023-9⟩ |
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An automated pipeline for processing and analysis of clinical fetal diffusion MRIIEEE International Symposium on Biomedical Imaging (ISBI 2026), Apr 2026, Londres, United Kingdom |
Automatic segmentation of neonatal electroencephalography for assisted interpretation: a multi label approachJournées Calcul et Données (JCAD), 2025, Lille, France |
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Physiological pattern detection of neonatal EEGs: a U-Net segmentation approachConference on Non-stationarity and statistics for EEG, Sep 2025, Nanterre, France |
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Joint Multi-Contrast Reconstruction of Fetal MRI based on Implicit Neural RepresentationsPIPPI 2024: 9th International Workshop, Held in Conjunction with MICCAI 2024, Oct 2024, Marrakesh, Morocco. pp.14-23, ⟨10.1007/978-3-031-73260-7_2⟩ |
Early anatomo-functional correlations using voxel-based lesion-symptom mapping in children with left-sided stroke lesion37th Annual Meeting of the European Academy Of Childhood-onset Disability (EACD), Jun 2025, Heidelberg, Germany |
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Multi-label neonatal EEG segmentation enriched with semi-synthetic dataInternational Symposium on Biomedical Imaging (ISBI), 2025, Huston, United States. ⟨10.1109/ISBI60581.2025.10980955⟩ |
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Analysis Of Deep Learning Classification Methods Of 3D Kinematic Data For Neurological Gait DisordersCongress of the European Society of Biomechanics, Jun 2024, Edinburgh, United Kingdom |
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Unraveling Systematic Biases in Brain Segmentation: Insights from Synthetic TrainingMIDL 2024: Medical Imaging with Deep Learning, Jul 2024, Paris, France |
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MRI-based Computational Modeling of Human Cortical FoldingECCOMAS 2024: 9th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2024, Lisboa, Portugal. ⟨10.23967/eccomas.2024.168⟩ |
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Analysis of Disentangled Representation Learning for High-Resolution Dynamic MRI SynthesisSPIE Medical Imaging 2024, Feb 2024, San Deigo, CA,, United States. ⟨10.1117/12.3006829⟩ |
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Validating stroke lesion segmentation methods using MRI in children : transferability of deep learning modelsISBI 2024: 21st IEEE International Symposium on Biomedical Imaging, May 2024, Athènes, Greece. ⟨10.1109/ISBI56570.2024.10635273⟩ |
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Recalage basé sur l'intersection de coupes orthogonales (ROSI) pour l'estimation du mouvement en IRM cérébrale foetalerfiap, Jul 2024, Lille, France |
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Caractérisation de l’émergence des plis du cortex cérébral in utero : apport de l’analyse par bandes de fréquencesReconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jul 2024, Lille, France |
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On divergence-free neural ODE for classificationICPR 2024: 27th International Conference on Pattern Recognition, Dec 2024, Kolkata, India. pp.254-265, ⟨10.1007/978-3-031-78186-5_17⟩ |
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Imagerie de sources électrophysiologiques par apprentissage superviséORASIS 2023 : 19ième édition du colloque d’ORASIS, journées francophones des jeunes chercheurs en vision par ordinateur, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France |
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EEG Source Imaging by Supervised LearningEUSIPCO 2023: 31st European Signal Processing Conference, Sep 2023, Helsinki, Finland. pp.1170-1174, ⟨10.23919/EUSIPCO58844.2023.10290011⟩ |
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Retrospective motion estimation for fetal brain MRIIPTA 2023: International Conference on Image Processing Theory, Oct 2023, Paris, France. ⟨10.1109/IPTA59101.2023.10320066⟩ |
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Estimation de mouvement rétrospective pour l'IRM cérébrale foetaleGRETSI 2023 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France |
Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily ChannelIGARSS 2022: IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.6821-6824, ⟨10.1109/IGARSS46834.2022.9883870⟩ |
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Unsupervised reconstruction of sea surface currents from AIS maritime traffic data using learnable variational modelsICASSP 2021, Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9415038⟩ |
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END-TO-END LEARNING OF VARIATIONAL MODELS AND SOLVERS FOR THE RESOLUTION OF INTERPOLATION PROBLEMSICASSP 2021 : IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto (Virtual conference), Canada. ⟨10.1109/ICASSP39728.2021.9414629⟩ |
Joint learning of variational data assimilation models and solversECMWF-ESA 2020 - Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom |
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Réseaux antagonistes génératifs pour la reconstruction super-résolution et la segmentation en IRMExtraction et Gestion des Connaissances - Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgique |
Segmentation d'IRM de cervelet de nouveau-nés prématurés par approche hiérarchiqueJournée ISS France, 2019, Paris, France |
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Temporal resolution enhancement of dynamic MRI sequences within a motion-based frameworkEMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8857749⟩ |
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4D in vivo quantification of ankle joint space width using dynamic MRIEMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8856687⟩ |
End-to-end learning of optimal interpolators for geophysical dynamicsCI 2019 : 9th International Workshop on Climate Informatics, 2019, Paris, France |
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Quantifying perinatal brain maturation using anatomical MRI2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Berlin, Germany |
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Online atlasing using an iterative centroidMICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2019, Shenzhen, China. pp.366-374, ⟨10.1007/978-3-030-32248-9_41⟩ |
T1 measurement in short-T2 material with suppressed long-T2 component using an IR-UTE multishot sequenceAnnual Meeting of ISMRM, May 2019, Montréal, Canada |
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Evaluation of cortical segmentation pipelines on clinical neonatal MRI dataEngineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. pp.6553-6556, ⟨10.1109/EMBC.2019.8856795⟩ |
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On early brain folding patterns using biomechanical growth modelingEMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2019, Berlin, Germany. pp.146-149, ⟨10.1109/EMBC.2019.8856670⟩ |
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Unbiased longitudinal brain atlas creation using robust linear registration and log-Euclidean framework for diffeomorphismsISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy. pp.1038-1041, ⟨10.1109/ISBI.2019.8759508⟩ |
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Hierarchical approach for neonate cerebellum segmentation from MRI: An experimental studyInternational Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.483-495, ⟨10.1007/978-3-030-20867-7_37⟩ |
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Super-résolution et segmentation simultanées d’IRM cérébrales néonatales par réseaux antagonistes génératifsCongrès National d’Imagerie du Vivant (CNIV), 2019, Paris, France |
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Simultaneous super-resolution and segmentation using a generative adversarial network: Application to neonatal brain MRIInternational Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. pp.991-994, ⟨10.1109/ISBI.2019.8759255⟩ |
Learning differential transport operators for the joint super-resolution of sea surface tracers and prediction of subgrid-scale features.IGARSS 2019 : 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900571⟩ |
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Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processingInternational Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.471-482, ⟨10.1007/978-3-030-20867-7_36⟩ |
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Anisotropic similarity, a constrained affine transformation: Application to brain development analysisISMRM 2018, Jun 2018, Paris, France. pp.1 |
On the use of frequency modulated pulses in sat-UTE26th Annual Meeting of ISMRM, Feb 2018, Paris, France |
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Une approche par patchs, multi-atlas, itérative pour la segmentation du cortex cérébral en IRM néonataleCongrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), 2018, Marne-la-Vallée, France |
Inversion-Recovery sat-UTE sequence for short-T2 structures positive contrast generation and quantification26th Annual Meeting of ISMRM, Feb 2018, Paris, France |
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A comparison of magnetization transfer, diffusion tensor imaging and ultrashort TE measurements in a murine model of demyelination26th Annual Meeting of ISMRM, Feb 2018, Paris, France |
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HIGH-RESOLUTION TEMPORAL RECONSTRUCTION OF ANKLE JOINT FROM DYNAMIC MRIIEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, DC, United States. ⟨10.1109/ISBI.2018.8363809⟩ |
Inversion-Recovery UTE multispoke sequence: comparison of two excitation schemes26th Annual Meeting of ISMRM, Feb 2018, Paris, France |
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Inversion-non-Recovery (InoR) method for long-T2 suppression in a steady-state 3D-UTE sequence for short-T2 imagingISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States |
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Quantification de la composante T2-courte de la myéline et de l’os cortical avec suppression du signal T2-long basée sur la diffusion en séquence UTE-3D3ème congrès de la SFRMBM, Mar 2017, Bordeaux, France |
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Long-T2 suppression based on saturation and diffusion in a steady-state 3D-UTE sequenceISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States |
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Brain MRI Super-Resolution using Deep 3D Convolutional NetworksISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.197 - 200, ⟨10.1109/ISBI.2017.7950500⟩ |
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Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image RegistrationISBI 2017 : IEEE 14th International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨10.1109/ISBI.2017.7950567⟩ |
Myelin and cortical bone short-T2 quantification using saturation and diffusion-based long-T2 suppression in a steady-state 3D-UTE sequenceISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States |
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Méthode Inversion-non-Recovery (InoR) pour la suppression de la composante T2-longue en séquence UTE-3D pour l’imagerie T2-courte3ème congrès de la SFRMBM, Mar 2017, Bordeaux, France |
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Méthode de suppression de la composante T2-longue basée sur la saturation et la diffusion en état stationnaire dans une séquence UTE-3D3ème congrès de la SFRMBM, Mar 2017, Bordeaux, France |
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Random Forests on Hierarchical Multi-Scale Supervoxels for Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans.International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic |
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Segmentation semi-automatique de tumeurs du foie en TDM dynamique pour l'estimation du taux de nécroseColloque GRETSI Traitement du Signal & des Images, GRETSI 2015, Sep 2015, Lyon, France |
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Missing data super-resolution using non-local and statistical priorsICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. pp.676 - 680, ⟨10.1109/ICIP.2015.7350884⟩ |
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Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels6th International Workshop on Machine Learning in Medical Imaging (MLMI 2015), Oct 2015, Munich, Germany. pp.212-219, ⟨10.1007/978-3-319-24888-2_26⟩ |
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Non-Local Super-resolution of Missing Data in Multi-sensor Observations of Sea Surface Geophysical FieldsIGARSS 2015: IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.TUP.PJ.8 |
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The Analog Ensemble Kalman Filter and SmootherCI 2014 : 4th International Workshop on Climate Informatics, Sep 2014, Boulder, United States |
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Étude du développement cérébral in utero à partir de données IRMReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France |
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Construction d'atlas longitudinal en IRM de diffusionORASIS - Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France |
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Sélection de caractéristiques pour l'étude de la maturation cérébraleORASIS - Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France |
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Segmentation of the cortex in fetal MRI using a topological modelInternational Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.2045-2048, ⟨10.1109/ISBI.2011.5872814⟩ |
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Data-driven cortex segmentation in reconstructed fetal MRI by using structural constraintsInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2011, Seville, Spain. pp.503-511, ⟨10.1007/978-3-642-23672-3_61⟩ |
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A non-local fuzzy segmentation method: Application to brain MRIInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2009, Münster, Germany. pp.606-613, ⟨10.1007/978-3-642-03767-2_74⟩ |
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Robust statistical registration of 3D ultrasound images using texture informationICIP 2003 : IEEE International Conference on Image Processing, Sep 2003, Barcelone, Spain. pp.581 - 584, ⟨10.1109/ICIP.2003.1247028⟩ |
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Analysis of Early Brain Development via Longitudinal MRI Registration Using Stationary Velocity FieldsColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2026, Lyon, France |
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Segmentation en EEG néotanal — Apprentissage sur des représentations temps-fréquenceColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2026, Lyon, France |
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SegSRGAN multilabel – Parcellisation et morphométrie cérébrale des nouveau-nés prématurés en IRMConférence sur le développement cérébral périnatal (NeoBrain 3), 2025, Amiens, France |
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Apprentissage synthétique : une nouvelle voie pour la segmentation de structures cérébrales en présence d’AVC périnatalIABM 2025 : 3ème Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France |
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Multi-label neonatal EEG segmentation enriched with semi-synthetic dataColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2025, Nice, France |
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Estimation des déformations longitudinales cérébrales basée sur un champ de vélocité stationnaireColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2025, Nice, France |
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SegSRGAN multilabel – Parcellisation et morphométrie cérébrale des nouveau-nés prématurés en IRMColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France |
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Annotation d'électroencéphalogrammes néonataux pour l'apprentissage superviséColloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2023, Paris, France |
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Annotation d’électroencéphalogrammes (EEG) néonataux pour l’apprentissage superviséJournée Scientifique autour de l’IA (JSIA), Feb 2023, Nancy, France |
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Étude volumétrique des régions cérébrales de nouveau-nés prématurésJournée Scientifique autour de l’IA (JSIA), Feb 2023, Nancy, France |
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Étude volumétrique des régions cérébrales de nouveau-nés prématurésIABM 2023 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2023, Paris, France. |
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Automatic Template-based Brain Extraction in Fetal MR Images2013 |
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Quality Assessment of Electromagnetic Localizers in the Context of 3D Ultrasound[Research Report] RR-4408, INRIA. 2002 |
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Méthodes d'analyse d'images et de calibration pour l'échographie 3D en mode main-libreTraitement du signal et de l'image [eess.SP]. Université Rennes 1, 2003. Français. ⟨NNT : ⟩ |
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Méthodes d'analyse d'images pour l'anatomie numérique cérébraleTraitement du signal et de l'image [eess.SP]. Université de Strasbourg, 2014 |