Kidney segmentation in renal magnetic resonance imaging-current status and prospects

FG Zöllner, M Kociński, L Hansen, AK Golla… - IEEE …, 2021 - ieeexplore.ieee.org
Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Renal MRI: from nephron to NMR signal

O Bane, E Seeliger, E Cox, J Stabinska… - Journal of Magnetic …, 2023 - Wiley Online Library
Renal diseases pose a significant socio‐economic burden on healthcare systems. The
development of better diagnostics and prognostics is well‐recognized as a key strategy to …

[HTML][HTML] Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

T Kart, M Fischer, S Winzeck, B Glocker, W Bai… - Scientific Reports, 2022 - nature.com
Large epidemiological studies such as the UK Biobank (UKBB) or German National Cohort
(NAKO) provide unprecedented health-related data of the general population aiming to …

Multi-input Unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation

L Fang, X Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
With the growth of data information and the development of computer equipment, it is
extremely time-consuming and laborious to rely on the traditional manual segmentation of …

[HTML][HTML] Artifact-free fat-water separation in Dixon MRI using deep learning

N Basty, M Thanaj, M Cule, EP Sorokin, Y Liu… - Journal of Big Data, 2023 - Springer
Chemical-shift encoded MRI (CSE-MRI) is a widely used technique for the study of body
composition and metabolic disorders, where derived fat and water signals enable the …

Deep-learning-based ensemble method for fully automated detection of renal masses on magnetic resonance images

A Anush, G Rohini, S Nicola… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose Accurate detection of small renal masses (SRM) is a fundamental step for
automated classification of benign and malignant or indolent and aggressive renal tumors …

MIMIR: deep regression for automated analysis of UK Biobank MRI Scans

T Langner, A Martínez Mora, R Strand… - Radiology: Artificial …, 2022 - pubs.rsna.org
UK Biobank (UKB) has recruited more than 500 000 volunteers from the United Kingdom,
collecting health-related information on genetics, lifestyle, blood biochemistry, and more …

[HTML][HTML] Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI

T Langner, FK Gustafsson, B Avelin, R Strand… - … Medical Imaging and …, 2021 - Elsevier
Along with rich health-related metadata, medical images have been acquired for over
40,000 male and female UK Biobank participants, aged 44–82, since 2014. Phenotypes …

[HTML][HTML] Better together: data harmonization and cross-study analysis of abdominal MRI data from UK biobank and the German National Cohort

S Gatidis, T Kart, M Fischer, S Winzeck… - Investigative …, 2023 - journals.lww.com
Objectives The UK Biobank (UKBB) and German National Cohort (NAKO) are among the
largest cohort studies, capturing a wide range of health-related data from the general …

[HTML][HTML] The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease

H Frostdahl, N Ahmad, U Hammar, AM Mora… - Scientific Reports, 2024 - nature.com
Genetic variants associated with increased liver fat and volume have been reported, but
whether physical activity (PA) can attenuate the impact of genetic susceptibility to these traits …