390 citations · 405 across the 4 of their papers we have counts for
4 papers
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Evaluating glioma growth predictions as a forward ranking problem
Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga +6
The problem of tumor growth prediction is challenging, but promising results have been achieved with both model-driven and statistical methods. In this work, we present a framework…
WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga +14
Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is a time-consuming tas…
Towards continuous learning for glioma segmentation with elastic weight consolidation
Karin van Garderen, Sebastian van der Voort, Fatih Incekara +2
When finetuning a convolutional neural network (CNN) on data from a new domain, catastrophic forgetting will reduce performance on the original training data. Elastic Weight Consol…