AIMC Topic:
Magnetic Resonance Imaging
Clear Filters Showing 2041 to 2050 of 6073 articles
MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.
Journal of magnetic resonance imaging : JMRI
Apr 4, 2023
BACKGROUND: Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated.
The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.
European radiology
Apr 4, 2023
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.
[Update: Small bowel diseases in computed tomography and magnetic resonance imaging].
Radiologie (Heidelberg, Germany)
Apr 4, 2023
CLINICAL/METHODICAL ISSUE: Radiological procedures play a crucial role in the diagnosis of small bowel disease. Due to a broad and quite nonspecific spectrum of symptoms, clinical evaluation is often difficult, and endoscopic procedures require signi...
Remote assessment of cognition and quality of life following radiotherapy for glioma: deep-learning-based predictive models and MRI correlates.
Journal of neuro-oncology
Apr 4, 2023
BACKGROUND: Glioma irradiation often unavoidably damages the brain volume and affects cognition. This study aims to evaluate the relationship of remote cognitive assessments in determining cognitive impairment of irradiated glioma patients in relatio...
A Survey on Brain Effective Connectivity Network Learning.
IEEE transactions on neural networks and learning systems
Apr 4, 2023
Human brain effective connectivity characterizes the causal effects of neural activities among different brain regions. Studies of brain effective connectivity networks (ECNs) for different populations contribute significantly to the understanding of...
Remote assessment of cognition and quality of life following radiotherapy for nasopharyngeal carcinoma: deep-learning-based predictive models and MRI correlates.
Journal of cancer survivorship : research and practice
Apr 3, 2023
PURPOSE: Irradiation of the brain regions from nasopharyngeal carcinoma (NPC) radiotherapy (RT) is frequently unavoidable, which may result in radiation-induced cognitive deficit. Using deep learning (DL), the study aims to develop prediction models ...
Pushing the limits of low-cost ultra-low-field MRI by dual-acquisition deep learning 3D superresolution.
Magnetic resonance in medicine
Apr 3, 2023
PURPOSE: Recent development of ultra-low-field (ULF) MRI presents opportunities for low-power, shielding-free, and portable clinical applications at a fraction of the cost. However, its performance remains limited by poor image quality. Here, a compu...
Review of Robot-Assisted HIFU Therapy.
Sensors (Basel, Switzerland)
Apr 3, 2023
This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) systems for image-guided therapies. HIFU is a minimally invasive technique that relies on the thermo-mechanical effects of focused ultrasound waves to ...
High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning.
Physics in medicine and biology
Apr 3, 2023
. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the heavy computational load remains a major challenge, especially in large-scale, h...
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.
IEEE transactions on medical imaging
Apr 3, 2023
Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of such images. As a method to mitigate such artifacts, denoising is largely studied both within the medical imaging community and beyond the community as a gener...
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