100 citations · 289 across the 29 of their papers we have counts for
6 papers · 1 filter
Ten years of image analysis and machine learning competitions in dementia
Esther E. Bron, Stefan Klein, Annika Reinke +4
Machine learning methods exploiting multi-parametric biomarkers, especially based on neuroimaging, have huge potential to improve early diagnosis of dementia and to predict which i…
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda +6
The optic nerve head represents the intraocular section of the optic nerve (ONH), which is prone to damage by intraocular pressure. The advent of optical coherence tomography (OCT)…
Signal-carrying speckle in Optical Coherence Tomography: a methodological review on biomedical applications
Vania Bastos Silva, Danilo Andrade De Jesus, Stefan Klein +4
Significance: Speckle has historically been considered a source of noise in coherent light imaging. However, a number of works in optical coherence tomography (OCT) imaging have sh…
An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil +43
Predicting clinical outcomes from medical images using quantitative features (``radiomics'') requires many method design choices, Currently, in new clinical applications, finding t…
Recurrent Inference Machines as inverse problem solvers for MR relaxometry
E. R. Sabidussi, S. Klein, M. W. A. Caan +5
In this paper, we propose the use of Recurrent Inference Machines (RIMs) to perform T1 and T2 mapping. The RIM is a neural network framework that learns an iterative inference proc…
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…