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06/18/2023
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
Glioma growth may be quantified with longitudinal image registration. Ho...
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06/29/2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided methods have shown added value for diagnosing and predict...
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08/19/2021
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Radiomics uses quantitative medical imaging features to predict clinical...
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03/22/2021
Evaluating glioma growth predictions as a forward ranking problem
The problem of tumor growth prediction is challenging, but promising res...
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12/16/2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
This work validates the generalizability of MRI-based classification of ...
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10/09/2020
WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
Accurate characterization of glioma is crucial for clinical decision mak...
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05/26/2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
Subtle changes in white matter (WM) microstructure have been associated ...
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09/25/2019
Towards continuous learning for glioma segmentation with elastic weight consolidation
When finetuning a convolutional neural network (CNN) on data from a new ...
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09/25/2019
