3 papers
eess.IV2020
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…
eess.IV2020
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…
eess.SP2019
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…