AIMC Topic: Brain
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Improved hypertensive stroke classification based on multi-scale feature fusion of head axial CT angiogram and multimodal learning.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Apr 29, 2024
PURPOSE: Strokes are severe cardiovascular and circulatory diseases with two main types: ischemic and hemorrhagic. Clinically, brain images such as computed tomography (CT) and computed tomography angiography (CTA) are widely used to recognize stroke...
LST-AI: A deep learning ensemble for accurate MS lesion segmentation.
NeuroImage. Clinical
Apr 29, 2024
Automated segmentation of brain white matter lesions is crucial for both clinical assessment and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an engineered lesion segmentation tool, LST. While recent lesion segment...
Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Apr 27, 2024
Despite its superior soft tissue contrast and non-invasive nature, MRI requires long scan times due to its intrinsic signal acquisition principles, a main drawback which technological advancements in MRI have been focused on. In particular, scan time...
Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features.
GeroScience
Apr 26, 2024
To better assess the pathology of neurodegenerative disorders and the efficacy of neuroprotective interventions, it is necessary to develop biomarkers that can accurately capture age-related biological changes in the human brain. Brain serotonin 2A r...
Neuroimage analysis using artificial intelligence approaches: a systematic review.
Medical & biological engineering & computing
Apr 26, 2024
In the contemporary era, artificial intelligence (AI) has undergone a transformative evolution, exerting a profound influence on neuroimaging data analysis. This development has significantly elevated our comprehension of intricate brain functions. T...
A hybrid 1D CNN-BiLSTM model for epileptic seizure detection using multichannel EEG feature fusion.
Biomedical physics & engineering express
Apr 26, 2024
Epilepsy, a chronic non-communicable disease is characterized by repeated unprovoked seizures, which are transient episodes of abnormal electrical activity in the brain. While Electroencephalography (EEG) is considered as the gold standard for diagno...
Resolution of tonic concentrations of highly similar neurotransmitters using voltammetry and deep learning.
Molecular psychiatry
Apr 25, 2024
With advances in our understanding regarding the neurochemical underpinnings of neurological and psychiatric diseases, there is an increased demand for advanced computational methods for neurochemical analysis. Despite having a variety of techniques ...
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Medical image analysis
Apr 25, 2024
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to assess the brain white matter. Fiber orientation distribution functions (FODs) are a common way of representing the orientation and density of white matter fibers. However, with s...
Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.
Scientific reports
Apr 25, 2024
The use of various kinds of magnetic resonance imaging (MRI) techniques for examining brain tissue has increased significantly in recent years, and manual investigation of each of the resulting images can be a time-consuming task. This paper presents...
Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.
eLife
Apr 25, 2024
Primates can recognize objects despite 3D geometric variations such as in-depth rotations. The computational mechanisms that give rise to such invariances are yet to be fully understood. A curious case of partial invariance occurs in the macaque face...
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