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hal-02287532v1  Conference papers
Hadrien BertrandMatthieu PerrotRoberto ArdonIsabelle Bloch. Classification of MRI data using deep learning and Gaussian process-based model selection
IEEE International Symposium on Biomedical Imaging, 2017, Melbourne, Australia. pp.745-748
hal-02288451v1  Conference papers
Hélène UrienIrène BuvatNicolas RougonSarah BoughdadIsabelle Bloch. 3D PET-driven multi-phase segmentation of menigiomas in MRI
International Symposium on Biomedical Imaging (ISBI'16), 2016, Prague, Czech Republic. pp.407-410
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hal-01896545v1  Conference papers
Carlos Tor-DíezChi-Hieu PhamHélène MeunierSylvain FaisanIsabelle Bloch et al.  Evaluation of cortical segmentation pipelines on clinical neonatal MRI data
Engineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. pp.6553-6556, ⟨10.1109/EMBC.2019.8856795⟩
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inserm-01417465v1  Book sections
Hélène UrienIrène BuvatNicolas RougonIsabelle Bloch. A 3D hierarchical multimodal detection and segmentation method for multiple sclerosis lesions in MRI
Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure — MICCAI-MSSEG, pp.69-74, 2016
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tel-02453301v1  Theses
Baptiste Morel. IRM du cerveau néonatal : segmentation et analyse du signal
Médecine humaine et pathologie. Télécom ParisTech, 2016. Français. ⟨NNT : 2016ENST0035⟩
hal-02288061v1  Conference papers
Alexandre DurandeauJean-Baptiste FasquelIsabelle BlochEdouard MazerandPhilippe Menei et al.  Structural information and (hyper)graph matching for MRI piglet brain extraction
10th International Conference on Pattern Recognition Systems (ICPRS), 2019, Tours, France. pp.76-81