1 citations · 1 across the 2 of their papers we have counts for
11 papers
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations
Vikram Venkatraghavan, Stefan Klein, Lana Fani +5
Alzheimer's disease (AD) is the most common form of dementia and is phenotypically heterogeneous. APOE is a triallelic gene which correlates with phenotypic heterogeneity in AD. In…
Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration
Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen +3
We propose an unsupervised deep learning method for atlas based registration to achieve segmentation and spatial alignment of the embryonic brain in a single framework. Our approac…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…
An Efficient Method for Multi-Parameter Mapping in Quantitative MRI using B-Spline Interpolation
Willem van Valenberg, Stefan Klein, Frans M. Vos +3
Quantitative MRI methods that estimate multiple physical parameters simultaneously often require the fitting of a computational complex signal model defined through the Bloch equat…
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…
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks
Karin van Garderen, Marion Smits, Stefan Klein
Missing data is a common problem in machine learning and in retrospective imaging research it is often encountered in the form of missing imaging modalities. We propose to take int…