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Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas.

, , , , , , and . Computer Vision and Image Understanding, 117 (3): 238-249 (2013)

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Special Issue on High Performance Computing in Bio-medical Informatics., , , and . Neuroinformatics, 16 (3-4): 283 (2018)Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces., , , and . NeuroImage, (2016)Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI., , , , , and . NeuroImage, (2017)Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation., , and . Neurocomputing, (2018)Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions., , and . CoRR, (2017)7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images., , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 572-580. (2016)Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 437-445. Springer, (2018)Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks., , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 764-772. Springer, (2017)Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes., and . PRIME@MICCAI, volume 11121 of Lecture Notes in Computer Science, page 103-111. Springer, (2018)Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas., , , , , , and . Computer Vision and Image Understanding, 117 (3): 238-249 (2013)