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Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images.

, , , , , and . CoRR, (2021)

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A Lightweight Causal Model for Interpretable Subject-level Prediction., , , , and . CoRR, (2023)Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs., , , , and . ISBI, page 1971-1974. IEEE, (2021)A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis., , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 119-128. Springer, (2020)A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis., , , , , , and . CoRR, (2020)A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis., , , , , , and . NeuroImage, (2021)Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features., , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 222-231. Springer, (2021)An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation., , , , , , and . CoRR, (2022)Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images., , , , , and . CoRR, (2021)Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI., , , , , , , , , and 14 other author(s). CoRR, (2023)Semi-supervised Variational Autoencoder for Survival Prediction., , , and . BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 124-134. Springer, (2019)