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A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences.

, , , , , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 69-79. Springer, (2015)

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Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models., , , , , , and . ISBI, page 428-431. IEEE, (2016)Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference., , , , , , , , , and 4 other author(s). IEEE Trans. Med. Imaging, 38 (8): 1875-1884 (2019)Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration., , , , , , , , , and 4 other author(s). CoRR, (2018)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 35 (4): 933-946 (2016)A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences., , , , , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 69-79. Springer, (2015)From Large to Small Organ Segmentation in CT Using Regional Context., , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 1-9. Springer, (2017)Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition., , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 201-209. Springer, (2017)