AIMC Topic: Brain
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DELR-Net: a network for 3D multimodal medical image registration in more lightweight application scenarios.
Abdominal radiology (New York)
Sep 26, 2024
PURPOSE: 3D multimodal medical image deformable registration plays a significant role in medical image analysis and diagnosis. However, due to the substantial differences between images of different modalities, registration is challenging and require...
A Practical Method for Predicting Compound Brain Concentration-Time Profiles: Combination of PK Modeling and Machine Learning.
Molecular pharmaceutics
Sep 26, 2024
Given the aging populations in advanced countries globally, many pharmaceutical companies have focused on developing central nervous system (CNS) drugs. However, due to the blood-brain barrier, drugs do not easily reach the target area in the brain. ...
MRI-based deep learning for differentiating between bipolar and major depressive disorders.
Psychiatry research. Neuroimaging
Sep 25, 2024
Mood disorders, particularly bipolar disorder (BD) and major depressive disorder (MDD), manifest changes in brain structure that can be detected using structural magnetic resonance imaging (MRI). Although structural MRI is a promising diagnostic tool...
A neural network model of differentiation and integration of competing memories.
eLife
Sep 25, 2024
What determines when neural representations of memories move together (integrate) or apart (differentiate)? Classic supervised learning models posit that, when two stimuli predict similar outcomes, their representations should integrate. However, the...
Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction.
Neuroradiology
Sep 24, 2024
PURPOSE: The time-intensive nature of acquiring 3D T1-weighted MRI and analyzing brain volumetry limits quantitative evaluation of brain atrophy. We explore the feasibility and reliability of deep learning-based accelerated MRI scans for brain volume...
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.
Neural networks : the official journal of the International Neural Network Society
Sep 24, 2024
Affective brain-computer interface is an important part of realizing emotional human-computer interaction. However, existing objective individual differences among subjects significantly hinder the application of electroencephalography (EEG) emotion ...
Comparative evaluation of interpretation methods in surface-based age prediction for neonates.
NeuroImage
Sep 24, 2024
Significant changes in brain morphology occur during the third trimester of gestation. The capability of deep learning in leveraging these morphological features has enhanced the accuracy of brain age predictions for this critical period. Yet, the op...
3-1-3 Weight averaging technique-based performance evaluation of deep neural networks for Alzheimer's disease detection using structural MRI.
Biomedical physics & engineering express
Sep 24, 2024
Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shrinkage of the brain and the loss of brain cells. This leads to cognitive decline and impaired social functioning, making it a major contributor to dem...
Learnable real-time inference of molecular composition from diffuse spectroscopy of brain tissue.
Journal of biomedical optics
Sep 24, 2024
SIGNIFICANCE: Diffuse optical modalities such as broadband near-infrared spectroscopy (bNIRS) and hyperspectral imaging (HSI) represent a promising alternative for low-cost, non-invasive, and fast monitoring of living tissue. Particularly, the possib...
Influence of panic disorder and paroxetine on brain functional hubs in drug-free patients.
Journal of psychopharmacology (Oxford, England)
Sep 23, 2024
BACKGROUND: The effects of panic disorder (PD) and pharmacotherapy on brain functional hubs in drug-free patients, and the utility of their degree centrality (DC) in diagnosing and predicting treatment response (TR) for PD, remained unclear.
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