AIMC Topic: Magnetic Resonance Imaging
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S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.
IEEE transactions on medical imaging
Jul 30, 2021
Cortical surface registration is an essential step and prerequisite for surface-based neuroimaging analysis. It aligns cortical surfaces across individuals and time points to establish cross-sectional and longitudinal cortical correspondences to faci...
Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging.
Human brain mapping
Jul 29, 2021
The advent of susceptibility-sensitive MRI techniques, such as susceptibility weighted imaging (SWI), has enabled accurate in vivo visualization and quantification of iron deposition within the human brain. Although previous approaches have been intr...
Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery.
Journal of healthcare engineering
Jul 29, 2021
This work aimed to explore the relationship between spine surgery lumbar facet joint (LFJ) and lumbar disc herniation (LDH) via compressed sensing algorithm-based MRI images to analyze the clinical symptoms of patients with residual neurological symp...
Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.
Nature communications
Jul 28, 2021
From a gym workout, to deciding whether to persevere at work, many activities require us to persist in deciding that rewards are 'worth the effort' even as we become fatigued. However, studies examining effort-based decisions typically assume that th...
A dual-channel language decoding from brain activity with progressive transfer training.
Human brain mapping
Jul 27, 2021
When we view a scene, the visual cortex extracts and processes visual information in the scene through various kinds of neural activities. Previous studies have decoded the neural activity into single/multiple semantic category tags which can caption...
Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis.
IEEE journal of biomedical and health informatics
Jul 27, 2021
We propose an interpretable and lightweight 3D deep neural network model that diagnoses anterior cruciate ligament (ACL) tears from a knee MRI exam. Previous works focused primarily on achieving better diagnostic accuracy but paid less attention to p...
Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jul 26, 2021
BACKGROUND AND PURPOSE: The purpose of the current study is to detect changes of graph-theory-based degree centrality (DC) and their relationship with the clinical treatment effects of anti-epileptic drugs (AEDs) for patients with childhood absence e...
Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.
Scientific reports
Jul 26, 2021
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from glioblastoma multiforme (GBM) on magnetic resonance imaging (MRI). We developed a convolutional neural network (CNN) to distinguish these tumors on contras...
Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.
Contrast media & molecular imaging
Jul 26, 2021
This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance imaging (MRI) images based on deep learning and evaluate the influence of curcumin (Cur) on the psychological state of patients with pulmonary hypertensi...
The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation.
Contrast media & molecular imaging
Jul 26, 2021
There was an investigation of the auxiliary role of convolutional neural network- (CNN-) based magnetic resonance imaging (MRI) image segmentation algorithm in MRI image-guided targeted drug therapy of doxorubicin nanomaterials so that the value of d...
Delayed-Action Preparations
Antibiotics, Antineoplastic
Nanoparticle Drug Delivery System
Humans
Neural Networks, Computer
Follow-Up Studies
Algorithms
Middle Aged
Magnetic Resonance Imaging
Prognosis
Case-Control Studies
Doxorubicin
Female
Liver Neoplasms
Drug Liberation
Aged
Image Processing, Computer-Assisted
Adult
Male
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