100 citations · 289 across the 29 of their papers we have counts for
29 papers
Comparison of retinal regions-of-interest imaged by OCT for the classification of intermediate AMD
Danilo A. Jesus, Eric F. Thee, Tim Doekemeijer +6
To study whether it is possible to differentiate intermediate age-related macular degeneration (AMD) from healthy controls using partial optical coherence tomography (OCT) data, th…
Computer-aided diagnosis and prediction in brain disorders
Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos +5
Computer-aided methods have shown added value for diagnosing and predicting brain disorders and can thus support decision making in clinical care and treatment planning. This chapt…
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…