[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
A perspective on brain-age estimation and its clinical promise
Brain-age estimation has gained increased attention in the neuroscientific community owing
to its potential use as a biomarker of brain health. The difference between estimated and …
to its potential use as a biomarker of brain health. The difference between estimated and …
Ultra‐Low‐Field Paediatric MRI in Low‐and Middle‐Income Countries: Super‐Resolution Using a Multi‐Orientation U‐Net
Owing to the high cost of modern magnetic resonance imaging (MRI) systems, their use in
clinical care and neurodevelopmental research is limited to hospitals and universities in …
clinical care and neurodevelopmental research is limited to hospitals and universities in …
Synthetic data in generalizable, learning-based neuroimaging
Synthetic data have emerged as an attractive option for developing machine-learning
methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)—a …
methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)—a …
[HTML][HTML] Characterizing developing executive functions in the first 1000 days in South Africa and Malawi: The Khula Study
The term 'executive functions'(EFs) refers to a set of skills that support flexible control over
thought and action. Classic EFs (working memory, inhibitory control, and cognitive flexibility) …
thought and action. Classic EFs (working memory, inhibitory control, and cognitive flexibility) …
Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven Neural Representation
Recently, there have been significant advancements in the development of portable low-
field (LF) magnetic resonance imaging (MRI) systems. These systems aim to provide low …
field (LF) magnetic resonance imaging (MRI) systems. These systems aim to provide low …
AI and deep brain stimulation: what have we learned?
P Limousin, H Akram - Nature Reviews Neurology, 2023 - nature.com
Deep brain stimulation (DBS) is a well-established approach for treating movement
disorders such as Parkinson disease, dystonia and essential tremor. However, the outcomes …
disorders such as Parkinson disease, dystonia and essential tremor. However, the outcomes …
Ultra-low-field brain MRI morphometry: test-retest reliability and correspondence to high-field MRI
Magnetic resonance imaging (MRI) enables non-invasive monitoring of healthy brain
development and disease. Widely used higher field (> 1.5 T) MRI systems are associated …
development and disease. Widely used higher field (> 1.5 T) MRI systems are associated …
Alternative Learning Paradigms for Image Quality Transfer
AK Eldaly, M Figini, DC Alexander - arXiv preprint arXiv:2411.05885, 2024 - arxiv.org
Image Quality Transfer (IQT) aims to enhance the contrast and resolution of low-quality
medical images, eg obtained from low-power devices, with rich information learned from …
medical images, eg obtained from low-power devices, with rich information learned from …
A new approach for multislice spatiotemporal encoding MRI in a portable low‐field system
Y Qiu, S Chen, E Solomon, C Wang… - Magnetic …, 2025 - Wiley Online Library
Abstract Purpose Spatiotemporal encoding (SPEN) MRI offers a unique alternative to
address image distortion problems in echo planar acquisition‐based techniques, at portable …
address image distortion problems in echo planar acquisition‐based techniques, at portable …