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- University of AmsterdamNL31 papers
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12 papers · 1 filter
Risk-based decision making: estimands for sequential prediction under interventions
Kim Luijken, Paweł Morzywołek, Wouter van Amsterdam +14
Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an interve…
An open-source, three-dimensional growth model of the mandible
Cornelis Klop, Ruud Schreurs, Guido A De Jong +10
The available reference data for the mandible and mandibular growth consists primarily of two-dimensional linear or angular measurements. The aim of this study was to create the fi…
Predicting Age from White Matter Diffusivity with Residual Learning
Chenyu Gao, Michael E. Kim, Ho Hin Lee +17
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimat…
TabAttention: Learning Attention Conditionally on Tabular Data
Michal K. Grzeszczyk, Szymon Płotka, Beata Rebizant +6
Medical data analysis often combines both imaging and tabular data processing using machine learning algorithms. While previous studies have investigated the impact of attention me…
A framework for interpretation and testing of sparse canonical correlations
Nuria Senar, Mark van de Wiel, Aeilko Zwinderman +1
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Cor…
Robust deformable image registration using cycle-consistent implicit representations
Louis D. van Harten, Jaap Stoker, Ivana Išgum
Recent works in medical image registration have proposed the use of Implicit Neural Representations, demonstrating performance that rivals state-of-the-art learning-based methods.…