A review on medical imaging synthesis using deep learning and its clinical applications
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
[HTML][HTML] What's new and what's next in diffusion MRI preprocessing
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
Artificial intelligence in medical imaging
JC Gore - Magnetic resonance imaging, 2020 - Elsevier
The medical specialty radiology has experienced a number of extremely important and
influential technical developments in the past that have affected how medical imaging is …
influential technical developments in the past that have affected how medical imaging is …
Disentangling the effects of Alzheimer's and small vessel disease on white matter fibre tracts
Alzheimer's disease and cerebral small vessel disease are the two leading causes of
cognitive decline and dementia and coexist in most memory clinic patients. White matter …
cognitive decline and dementia and coexist in most memory clinic patients. White matter …
Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps
Diffusion magnetic resonance images may suffer from geometric distortions due to
susceptibility induced off resonance fields, which cause geometric mismatch with anatomical …
susceptibility induced off resonance fields, which cause geometric mismatch with anatomical …
Segmentation-renormalized deep feature modulation for unpaired image harmonization
Deep networks are now ubiquitous in large-scale multi-center imaging studies. However, the
direct aggregation of images across sites is contraindicated for downstream statistical and …
direct aggregation of images across sites is contraindicated for downstream statistical and …
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain
microstructure and structural connections. The analysis of diffusion MRI data often requires …
microstructure and structural connections. The analysis of diffusion MRI data often requires …
Poorer clinical outcomes for older adult monolinguals when matched to bilinguals on brain health
Previous studies have reported bilingualism to be a proxy of cognitive reserve (CR) based
on evidence that bilinguals express dementia symptoms~ 4 years later than monolinguals …
on evidence that bilinguals express dementia symptoms~ 4 years later than monolinguals …
Thalamostriatal disconnection underpins long-term seizure freedom in frontal lobe epilepsy surgery
Around 50% of patients undergoing frontal lobe surgery for focal drug-resistant epilepsy
become seizure free post-operatively; however, only about 30% of patients remain seizure …
become seizure free post-operatively; however, only about 30% of patients remain seizure …