AIMC Topic: Magnetic Resonance Imaging
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Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation.
Medical image analysis
May 16, 2021
Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI). However, existing deep learning-based image reconstruction methods typically apply weight-shar...
Identification of voxel-based texture abnormalities as new biomarkers for schizophrenia and major depressive patients using layer-wise relevance propagation on deep learning decisions.
Psychiatry research. Neuroimaging
May 16, 2021
Non-segmented MRI brain images are used for the identification of new Magnetic Resonance Imaging (MRI) biomarkers able to differentiate between schizophrenic patients (SCZ), major depressive patients (MD) and healthy controls (HC). Brain texture meas...
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.
European radiology
May 15, 2021
Artificial intelligence developments are essential to the successful deployment of community-wide, MRI-driven prostate cancer diagnosis. AI systems should ensure that the main benefits of biopsy avoidance are delivered while maintaining consistent hi...
Self-organising maps for the exploration and classification of thin-layer chromatograms.
Talanta
May 13, 2021
Thin-layer chromatography (TLC) allows the swift analysis of larger sample sets in almost any laboratory. The obtained chromatograms are patterns of coloured zones that are conveniently evaluated and classified by visual inspection. This manual appro...
Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage
May 13, 2021
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In this regard, there have been efforts to identify the risk of developin...
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
May 13, 2021
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for detecting, characterizing and monitoring brain tumors but definitive di...
Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach.
NeuroImage
May 12, 2021
Speech comprehension in natural soundscapes rests on the ability of the auditory system to extract speech information from a complex acoustic signal with overlapping contributions from many sound sources. Here we reveal the canonical processing of sp...
Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.
European radiology
May 11, 2021
OBJECTIVES: To investigate the diagnostic performance of deep transfer learning (DTL) to detect liver cirrhosis from clinical MRI.
Detection of deep myometrial invasion in endometrial cancer MR imaging based on multi-feature fusion and probabilistic support vector machine ensemble.
Computers in biology and medicine
May 11, 2021
The depth of myometrial invasion affects the treatment and prognosis of patients with endometrial cancer (EC), conventionally evaluated using MR imaging (MRI). However, only a few computer-aided diagnosis methods have been reported for identifying de...
Assistance from Automated ASPECTS Software Improves Reader Performance.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 11, 2021
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...
Machine Learning
Software
Prognosis
Tomography, X-Ray Computed
Humans
Neurologists
Automation
Middle Cerebral Artery
Carotid Artery, Internal
Magnetic Resonance Imaging
Predictive Value of Tests
Ischemic Stroke
Radiologists
Radiographic Image Interpretation, Computer-Assisted
Observer Variation
Female
Reproducibility of Results
Aged
Male
Middle Aged
Clinical Competence
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