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39 résultats
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A generative model for brain tumor segmentation in multi-modal imagesMedical Image Computing and Computer-Assisted Intervention (MICCAI'10), 2010, Beijing, China. pp.151-159, ⟨10.1007/978-3-642-15745-5_19⟩
Communication dans un congrès
hal-00813776v1
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Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2013Bjoern Menze and Mauricio Reyes and Andras Jakab and Elisabeth Gerstner and Justin Kirby and Keyvan Farahani. MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS), Sep 2013, Nagoya, Japan. MICCAI, pp.57, 2013
Proceedings/Recueil des communications
hal-00912934v1
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Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target DelineationMultimodal Brain Image Analysis, Sep 2013, Nagoya, Japan. pp.63-73, ⟨10.1007/978-3-319-02126-3_7⟩
Communication dans un congrès
hal-00912667v1
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Fast Anatomical Structure Localization Using Top-down Image Patch RegressionMICCAI Workshop on Medical Computer Vision (MCV), Oct 2012, Nice, France. pp.133-141, ⟨10.1007/978-3-642-36620-8_14⟩
Communication dans un congrès
hal-00912929v1
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Spatially Adaptive Random Forest2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013, San Francisco, CA, United States. pp.1332-35, ⟨10.1109/ISBI.2013.6556781⟩
Communication dans un congrès
hal-00840035v1
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Medical Computer Vision: Recognition techniques and applications in medical imaging. Proceedings of the MICCAI 2012 Workshop on Medical Computer Vision (MCV 2012)Springer, 7766, pp.294, 2013, Lecture Notes in Computer Science, 978-3-642-36619-2. ⟨10.1007/978-3-642-36620-8⟩
Ouvrages
hal-00912655v1
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Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel Magnetic Resonance ImagesNeuroImage, 2011, 57 (2), pp.378-390. ⟨10.1016/j.neuroimage.2011.03.080⟩
Article dans une revue
inria-00616194v1
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Metrics reloaded: recommendations for image analysis validationNature Methods, 2024, 21 (2), pp.195-212. ⟨10.1038/s41592-023-02151-z⟩
Article dans une revue
hal-04477840v1
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Detecting stable distributed patterns of brain activation using Gini contrastNeuroImage, 2011, 56, pp.497-507. ⟨10.1016/j.neuroimage.2010.07.074⟩
Article dans une revue
inria-00616195v1
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Medical Computer Vision: Recognition techniques and applications in medical imaging -- MICCAI-MCV 2010Menze, Bjoern H. and Langs, Georg and Tu, Zhuowen and Criminisi, Antonio. Springer, 6533, pp.237, 2010, LNCS
Ouvrages
inria-00616061v1
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Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal EquationsIEEE Transactions on Medical Imaging, 2010, 29 (1), pp.77-95. ⟨10.1109/TMI.2009.2026413⟩
Article dans une revue
inria-00616100v1
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Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR ImagesMICCAI Challenge on Multimodal Brain Tumor Segmentation, 2012, Nice, France
Communication dans un congrès
hal-00813827v1
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Global localization of 3D anatomical structures by pre-filtered Hough forests and discrete optimization.Medical Image Analysis, 2013, 17 (8), pp.1304-14. ⟨10.1016/j.media.2013.02.004⟩
Article dans une revue
hal-00912645v1
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Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineationPhysics in Medicine and Biology, 2013, ⟨10.1088/0031-9155/59/3/747⟩
Article dans une revue
hal-00917869v2
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A Generative Approach for Image-Based Modeling of Tumor GrowthSzékely, Gábor and Hahn, Horst K. Information Processing in Medical Imaging, 22, Springer, Heidelberg/Germany, pp.735-747, 2011, LNCS
Chapitre d'ouvrage
hal-00813801v1
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Comparative validation of graphical models for learning tumor segmentations from noisy manual annotationsMICCAI Workshop on Medical Computer Vision (MICCAI-MCV'10), 2010, Beijing, China. pp.74-85, ⟨10.1007/978-3-642-18421-5_8⟩
Communication dans un congrès
istex
hal-00813770v1
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Predicting the Location of Glioma Recurrence After a Resection SurgeryProceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12), 2012, Nice, France. ⟨10.1007/978-3-642-33555-6_10⟩
Communication dans un congrès
hal-00813870v1
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Segmentation of image ensembles via latent atlasesMedical Image Analysis, 2010, 14 (5), pp.654-65
Article dans une revue
inria-00616108v1
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Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace FilteringMICCAI Workshop on Medical Computer Vision (MCV), Oct 2012, Nice, France. pp.142-154, ⟨10.1007/978-3-642-36620-8_15⟩
Communication dans un congrès
hal-00912932v1
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A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR SequencesMICCAI Brain Lesion Workshop, Oct 2015, Munich, Germany
Communication dans un congrès
hal-01205916v1
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Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2012Bjoern Menze and Andras Jakab and Mauricio Reyes and Stefan Bauer and Marcel Prastawa and Koen Van Leemput. MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS), Oct 2012, Nice, France. MICCAI, pp.77, 2012
Proceedings/Recueil des communications
hal-00912935v1
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Efficient Probabilistic Model Personalization Integrating Uncertainty on Data and Parameters: Application to Eikonal-Diffusion Models in Cardiac ElectrophysiologyProgress in Biophysics and Molecular Biology, 2011, 107 (1), pp.134-146. ⟨10.1016/j.pbiomolbio.2011.07.002⟩
Article dans une revue
inria-00616198v1
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Glioblastoma growth modeling for radiotherapy target delineation.Image-Guidance and Multimodal Dose Planning in Radiation Therapy, INRIA, 2012, Nice, France. pp.9-16
Communication dans un congrès
hal-00813872v1
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Radiotherapy planning for glioblastoma based on a tumor growth model: implications for spatial dose redistributionPhysics in Medicine and Biology, 2013
Article dans une revue
hal-00917846v1
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Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013, San Francisco, CA, United States. pp.1130-32
Communication dans un congrès
hal-00840036v1
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Image-based modeling of tumor growth in patients with glioma.Garbe, C S and Rannacher, R and Platt, U and Wagner, T. Optimal control in image processing, Springer, Heidelberg/Germany, 2011
Chapitre d'ouvrage
hal-00825866v1
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Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRICriminisi, Antonio and Shotton, J. Decision Forests for Computer Vision and Medical Image Analysis, Springer London, pp.245-260, 2013, Advances in Computer Vision and Pattern Recognition, 978-1-4471-4928-6. ⟨10.1007/978-1-4471-4929-3_17⟩
Chapitre d'ouvrage
hal-00931809v1
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A Generative Approach for Image-Based Modeling of Tumor GrowthIPMI - 22nd International Conference on Information Processing in Medical Images- 2011, Jul 2011, Kloster Irsee, Germany. pp.735-747, ⟨10.1007/978-3-642-22092-0_60⟩
Communication dans un congrès
inria-00616211v1
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Patch-based Segmentation of Brain TissuesMICCAI Challenge on Multimodal Brain Tumor Segmentation, Sep 2013, Nagoya, Japan. pp.6 - 17
Communication dans un congrès
hal-00917084v1
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A generative probabilistic model and discriminative extensions for brain lesion segmentation – with application to tumor and strokeIEEE Transactions on Medical Imaging, 2015
Article dans une revue
hal-01230846v1
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