This paper presents a novel approach to simulating electronic health rec...
Clinical data usually cannot be freely distributed due to their highly
c...
In recent years, the machine learning research community has benefited
t...
These two synthetic datasets comprise vital signs, laboratory test resul...
In this study we propose the Learning to Defer with Uncertainty (LDU)
al...
AIMS. This study compared the performance of deep learning extensions of...
Purpose: Earlier work showed that IVIM-NET_orig, an unsupervised
physics...
Objective: To evaluate the feasibility of using an attention-based neura...
Purpose: This prospective clinical study assesses the feasibility of tra...
Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that
...
We present a novel method that allows for measuring the quality of
diffu...
Diffusion Tensor Imaging (DTI) provides the possibility of estimating th...
Diffusion Tensor Imaging (DTI) allows estimating the position, orientati...