AIMC Topic: Brain
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Global attention-enabled texture enhancement network for MR image reconstruction.
Magnetic resonance in medicine
Jun 29, 2023
PURPOSE: Although recent convolutional neural network (CNN) methodologies have shown promising results in fast MR imaging, there is still a desire to explore how they can be used to learn the frequency characteristics of multicontrast images and reco...
Deep learning-assisted model-based off-resonance correction for non-Cartesian SWI.
Magnetic resonance in medicine
Jun 22, 2023
PURPOSE: Patient-induced inhomogeneities in the static magnetic field cause distortions and blurring (off-resonance artifacts) during acquisitions with long readouts such as in SWI. Conventional versatile correction methods based on extended Fourier ...
Computerised emergency work-up for mass-like brain MRI lesions: can explainable AI support radiologists?
European radiology
Jun 20, 2023
Functional Alignment-Auxiliary Generative Adversarial Network-Based Visual Stimuli Reconstruction via Multi-Subject fMRI.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 20, 2023
Functional Magnetic Resonance Imaging (fMRI) provides more precise spatial and temporal information to reconstruct stimulus images than other technologies that can be used to measure the human brain's neural responses. The fMRI scans, however, genera...
Denoising single MR spectra by deep learning: Miracle or mirage?
Magnetic resonance in medicine
Jun 18, 2023
PURPOSE: The inherently poor SNR of MRS measurements presents a significant hurdle to its clinical application. Denoising by machine or deep learning (DL) was proposed as a remedy. It is investigated whether such denoising leads to lower estimate unc...
Bloch simulator-driven deep recurrent neural network for magnetization transfer contrast MR fingerprinting and CEST imaging.
Magnetic resonance in medicine
Jun 15, 2023
PURPOSE: To develop a unified deep-learning framework by combining an ultrafast Bloch simulator and a semisolid macromolecular magnetization transfer contrast (MTC) MR fingerprinting (MRF) reconstruction for estimation of MTC effects.
Memristors based on 2D MoSe nanosheets as artificial synapses and nociceptors for neuromorphic computing.
Nanoscale
Jun 15, 2023
Neuromorphic computing inspired by the human brain is highly desirable in the artificial intelligence age. Thus, it is essential to comprehensively investigate the neuromorphic characteristics of artificial synapses and neurons which are the unit cel...
Canonical circuit computations for computer vision.
Biological cybernetics
Jun 12, 2023
Advanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the traini...
Review on deep learning fetal brain segmentation from Magnetic Resonance images.
Artificial intelligence in medicine
Jun 10, 2023
Brain segmentation is often the first and most critical step in quantitative analysis of the brain for many clinical applications, including fetal imaging. Different aspects challenge the segmentation of the fetal brain in magnetic resonance imaging ...
Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction.
Computers in biology and medicine
Jun 8, 2023
Brain-computer interfaces are used for direct two-way communication between the human brain and the computer. Brain signals contain valuable information about the mental state and brain activity of the examined subject. However, due to their non-stat...
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