AIMC Topic: Magnetic Resonance Imaging
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Application value of T2 fluid-attenuated inversion recovery sequence based on deep learning in static lacunar infarction.
Acta radiologica (Stockholm, Sweden : 1987)
Oct 26, 2022
BACKGROUND: Regular monitoring of static lacunar infarction (SLI) lesions plays an important role in preventing disease development and managing prognosis. Magnetic resonance imaging is one method used to monitor SLI lesions.
Fast Deformable Image Registration for Real-Time Target Tracking During Radiation Therapy Using Cine MRI and Deep Learning.
International journal of radiation oncology, biology, physics
Oct 26, 2022
PURPOSE: We developed a deep learning (DL) model for fast deformable image registration using 2-dimensional sagittal cine magnetic resonance imaging (MRI) acquired during radiation therapy and evaluated its potential for real-time target tracking com...
Deep Learning Hybrid Techniques for Brain Tumor Segmentation.
Sensors (Basel, Switzerland)
Oct 26, 2022
Medical images play an important role in medical diagnosis and treatment. Oncologists analyze images to determine the different characteristics of deadly diseases, plan the therapy, and observe the evolution of the disease. The objective of this pape...
Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.
Scientific reports
Oct 26, 2022
The limited accessibility of medical specialists for Alzheimer's disease (AD) can make obtaining an accurate diagnosis in a timely manner challenging and may influence prognosis. We investigated whether VUNO Med-DeepBrain AD (DBAD) using a deep learn...
Editorial for "Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI Images".
Journal of magnetic resonance imaging : JMRI
Oct 25, 2022
Clinical safety and efficacy of a fully automated robot for magnetic resonance imaging-guided breast biopsy.
The international journal of medical robotics + computer assisted surgery : MRCAS
Oct 25, 2022
BACKGROUND: Magnetic resonance imaging (MRI)-guided biopsies are an accurate, but technically challenging, method for screening and diagnosis of breast lesions. This study assesses the safety and efficacy of an Image Guided Automated Robot (IGAR) in ...
Explaining neural activity in human listeners with deep learning via natural language processing of narrative text.
Scientific reports
Oct 25, 2022
Deep learning (DL) approaches may also inform the analysis of human brain activity. Here, a state-of-art DL tool for natural language processing, the Generative Pre-trained Transformer version 2 (GPT-2), is shown to generate meaningful neural encodin...
A Deep Learning-Based Computer Aided Detection (CAD) System for Difficult-to-Detect Brain Metastases.
International journal of radiation oncology, biology, physics
Oct 23, 2022
PURPOSE: We sought to develop a computer-aided detection (CAD) system that optimally augments human performance, excelling especially at identifying small inconspicuous brain metastases (BMs), by training a convolutional neural network on a unique ma...
A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction.
Scientific reports
Oct 22, 2022
The relationship of human brain structure to cognitive function is complex, and how this relationship differs between childhood and adulthood is poorly understood. One strong hypothesis suggests the cognitive function of Fluid Intelligence (Gf) is de...
Deep-learning-reconstructed high-resolution 3D cervical spine MRI for foraminal stenosis evaluation.
Skeletal radiology
Oct 21, 2022
OBJECTIVE: To compare standard-of-care two-dimensional MRI acquisitions of the cervical spine with those from a single three-dimensional MRI acquisition, reconstructed using a deep-learning-based reconstruction algorithm. We hypothesized that the imp...
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