Continual learning in medical image analysis: A survey
In the dynamic realm of practical clinical scenarios, Continual Learning (CL) has gained
increasing interest in medical image analysis due to its potential to address major …
increasing interest in medical image analysis due to its potential to address major …
Quantitative 3D-CT imaging of sarcopenia mitigation in the elderly: evidence from a case report
M Quadrelli, T Baccaglini… - European Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
This case study examines the effectiveness of using combined CT imaging and 3D imaging
in moni-toring the prevention of sarcopenia through continuous daily exercises in an elderly …
in moni-toring the prevention of sarcopenia through continuous daily exercises in an elderly …
A deep learning approach for fast muscle water T2 map** with subject specific fat T2 calibration from multi-spin-echo acquisitions
This work presents a deep learning approach for rapid and accurate muscle water T2 with
subject-specific fat T2 calibration using multi-spin-echo acquisitions. This method addresses …
subject-specific fat T2 calibration using multi-spin-echo acquisitions. This method addresses …
[HTML][HTML] Multiparametric MRI Assessment of Morpho-Functional Muscle Changes Following a 6-Month FES-Cycling Training Program: Pilot Study in People With a …
Background Spinal cord injuries (SCIs) cause debilitating secondary conditions such as
severe muscle deterioration, cardiovascular, and metabolic dysfunctions, significantly …
severe muscle deterioration, cardiovascular, and metabolic dysfunctions, significantly …
Automated MRI quantification of volumetric per-muscle fat fractions in the proximal leg of patients with muscular dystrophies
Muscular dystrophies (MD) are a class of rare genetic diseases resulting in progressive
muscle weakness affecting specific muscle groups, depending on the type of disease …
muscle weakness affecting specific muscle groups, depending on the type of disease …
The effect of fat model variation on muscle fat fraction quantification in a cross‐sectional cohort
M Froeling, L Heskamp - NMR in Biomedicine, 2024 - Wiley Online Library
Spectroscopic imaging, rooted in Dixon's two‐echo spin sequence to distinguish water and
fat, has evolved significantly in acquisition and processing. Yet precise fat quantification …
fat, has evolved significantly in acquisition and processing. Yet precise fat quantification …
Positional contrastive learning for improved thigh muscle segmentation in MR images
The accurate segmentation of individual muscles is essential for quantitative MRI analysis of
thigh images. Deep learning methods have achieved state‐of‐the‐art results in …
thigh images. Deep learning methods have achieved state‐of‐the‐art results in …
An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung
Purpose: To introduce and evaluate TrueLung, an automated pipeline for computation and
analysis of free-breathing and contrast-agent free pulmonary functional MRI. Material and …
analysis of free-breathing and contrast-agent free pulmonary functional MRI. Material and …