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Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions., , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 335-343. Springer, (2017)Computer-aided diagnosis and prediction in brain disorders., , , , , , , and . CoRR, (2022)Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions., , , , and . WBIR, volume 10883 of Lecture Notes in Computer Science, page 115-125. Springer, (2018)Classification of malignant and benign liver tumors using a radiomics approach., , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105741D. SPIE, (2018)Towards continuous learning for glioma segmentation with elastic weight consolidation., , , , and . CoRR, (2019)Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection., , , , , , , , , and 4 other author(s). IEEE Trans. Medical Imaging, 43 (1): 253-263 (January 2024)DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data., , and . Neuroinformatics, 19 (1): 159-184 (2021)WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning., , , , , , , , , and 7 other author(s). CoRR, (2020)Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas., , , , , , and . ISBI, page 638-641. IEEE, (2017)The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation., , , , , , , , and . ISBI, page 655-658. IEEE, (2021)