Automated reference-free detection of motion artifacts in magnetic resonance images
Objectives Our objectives were to provide an automated method for spatially resolved
detection and quantification of motion artifacts in MR images of the head and abdomen as …
detection and quantification of motion artifacts in MR images of the head and abdomen as …
A machine-learning framework for automatic reference-free quality assessment in MRI
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large
amount of data is created per examination which needs to be checked for sufficient quality in …
amount of data is created per examination which needs to be checked for sufficient quality in …
ImFEATbox: a toolbox for extraction and analysis of medical image features
Purpose In medical imaging, the digital post-processing and analysis of acquired images
has become an important research field. Topics include various applications of image …
has become an important research field. Topics include various applications of image …
Population-based imaging biobanks as source of big data
S Gatidis, SD Heber, C Storz, F Bamberg - La radiologia medica, 2017 - Springer
Advances of computational sciences over the last decades have enabled the introduction of
novel methodological approaches in biomedical research. Acquiring extensive and …
novel methodological approaches in biomedical research. Acquiring extensive and …
Active learning for magnetic resonance image quality assessment
In medical imaging, the acquired images are usually analyzed by a human observer and
rated with respect to a diagnostic question. However, this procedure is time-demanding and …
rated with respect to a diagnostic question. However, this procedure is time-demanding and …
An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment
In medical imaging, images are usually evaluated by a human observer (HO) depending on
the underlying diagnostic question which can be a time-demanding and cost-intensive …
the underlying diagnostic question which can be a time-demanding and cost-intensive …
Evaluation of image quality of MRI data for brain tumor surgery
F Heckel, F Arlt, B Geisler, S Zidowitz… - … Imaging 2016: Image …, 2016 - spiedigitallibrary.org
3D medical images are important components of modern medicine. Their usefulness for the
physician depends on their quality, though. Only high-quality images allow accurate and …
physician depends on their quality, though. Only high-quality images allow accurate and …
ImFEATbox: An MR image processing toolbox for extracting and analyzing features
In various image processing applications, finding appropriate mathematical descriptions
which reflect or extract characteristics of the underlying content from acquired MR images is …
which reflect or extract characteristics of the underlying content from acquired MR images is …
Active learning for automated reference-free MR image quality assessment: decreasing the number of required training samples by reduction of intra-batch …
Active learning aims to reduce the amount of labeled data required to adequately train a
classifier by iteratively selecting samples carrying the most valuable information for the …
classifier by iteratively selecting samples carrying the most valuable information for the …
Reinforcement Learning for Automated Reference-free MR Image Quality Assessment
Reinforcement learning is a method aiming to model a learner similar to human learning
behavior. In this study, we investigate the possibility to utilize this technique to select an …
behavior. In this study, we investigate the possibility to utilize this technique to select an …