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tel-00750144v1  Theses
Emmanuel Caruyer. IRM de diffusion du Q-space : Acquisition et pré-traitements
Medical Imaging. Université Nice Sophia Antipolis, 2012. English
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tel-01653707v1  Theses
Charlotte Delmas. Reconstruction 3D de micro-outils curvilignes en neuroradiologie interventionnelle
Imagerie médicale. Université de Lorraine (Nancy), 2017. Français
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hal-02430883v1  Conference papers
Saad El JaouhariPatrick HardyGuillaume PasquierPierrick GuitterEric Poiseau et al.  World First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details
COMPSAC 2019 - 43rd IEEE Annual Computer Software and Applications Conference, Jul 2019, Milwaukee, United States. pp.294-299, ⟨10.1109/COMPSAC.2019.10222⟩
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tel-02408339v1  Theses
Jaime Garcia Guevara. Biomechanical graph matching for hepatic intra-operative image registration
Computer Vision and Pattern Recognition [cs.CV]. Universite de Lorraine, Inria, Nancy, France, 2019. English
hal-02422136v1  Books
Ninon BurgosAli GooyaDavid Svoboda. Simulation and Synthesis in Medical Imaging
Springer, Lecture Notes in Computer Science (11827), 2019, 978-3-030-32777-4. ⟨10.1007/978-3-030-32778-1⟩
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tel-02425827v1  Theses
Jorge Samper-Gonzalez. Learning from multimodal data for classification and prediction of Alzheimer's disease
Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English
hal-01377879v1  Journal articles
Elisabeth MaillartCaroline PapeixCharles MellerioAnne BertrandCatherine Lubetzki et al.  Extensive and severe CNS demyelination associated with golimumab therapy
Journal of Neurology, Springer Verlag, 2016, 263 (9), pp.1869 - 1871
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inserm-00800723v1  Conference papers
Alessandro CrimiOlivier CommowickJean-Christophe FerréAdil MaaroufGilles Edan et al.  Semi-Automatic Classification of Lesion Patterns in Patients with Clinically Isolated Syndrome
International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2013, San Francisco, United States. pp.1102-1105, ⟨10.1109/ISBI.2013.6556671⟩
hal-01250442v1  Book sections
Hervé DelingetteNicholas Ayache. Building Patient-Specific Physical and Physiological Computational Models from Medical Images
Paragios, Nikos and Duncan, Jim and Ayache, Nicholas. Handbook of Biomedical Imaging: Methodologies and Clinical Research, Springer US, pp.169-182, 2015, 978-0-387-09748-0. ⟨10.1007/978-0-387-09749-7_9⟩
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inserm-00752896v1  Journal articles
Florence ForbesScherrer BenoîtMichel Dojat. Bayesian Markov model for cooperative clustering: application to robust MRI brain scan segmentation
Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (3), pp.116-141
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inria-00615656v1  Book sections
Hervé DelingetteNicholas Ayache. Soft Tissue Modeling for Surgery Simulation
Ayache, Nicholas. Computational Models for the Human Body, Elsevier, pp.453-550, 2004, Handbook of Numerical Analysis (Ed : Ph. Ciarlet), ⟨10.1016/S1570-8659(03)12005-4⟩
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hal-01352464v1  Book sections
Nicolas DuchateauGemma PiellaAlejandro FrangiMathieu de Craene. Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?
Guorong Wu; Dinggang Shen; Mert Sabuncu. Machine learning and medical imaging, 1st Edition, Elsevier, pp.365-382, 2016