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BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.

, , , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)

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Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging., , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 540-548. Springer, (2018)HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework., , and . NeuroImage, (2017)MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network., , , , and . CoRR, (2022)Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics., , , , , , , , , and 15 other author(s). CoRR, (2021)A kernel-based graphical model for diffusion tensor registration., , , , , and . ISBI, page 524-527. IEEE, (2010)Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations., , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders., and . CoRR, (2021)Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier., , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 702-709. Springer, (2015)Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data., , and . PRNI, page 13-16. IEEE, (2013)