36 citations · 36 across the 4 of their papers we have counts for
4 papers
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
Claudia Chinea Hammecher, Karin van Garderen, Marion Smits +8
Glioma growth may be quantified with longitudinal image registration. However, the large mass-effects and tissue changes across images pose an added challenge. Here, we propose a l…
Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine
Dimitrios Karkalousos, Kai Lønning, Hanneke E. Hulst +4
Objective: To allow efficient learning using the Recurrent Inference Machine (RIM) for image reconstruction whereas not being strictly dependent on the training data distribution s…
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images
Pierre Ambrosini, Eva Hollemans, Charlotte F. Kweldam +3
Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, c…
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…