AIMC Topic:
Magnetic Resonance Imaging
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Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning.
Physics in medicine and biology
Mar 12, 2024
. Precise hepatocellular carcinoma (HCC) detection is crucial for clinical management. While studies focus on computed tomography-based automatic algorithms, there is a rareness of research on automatic detection based on dynamic contrast enhanced (D...
[Reduction of Motion Artifacts in Liver MRI Using Deep Learning with High-pass Filtering].
Nihon Hoshasen Gijutsu Gakkai zasshi
Mar 11, 2024
PURPOSE: To investigate whether deep learning with high-pass filtering can be used to effectively reduce motion artifacts in magnetic resonance (MR) images of the liver.
An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI.
Cell reports. Medicine
Mar 11, 2024
Noninvasive differential diagnosis of brain tumors is currently based on the assessment of magnetic resonance imaging (MRI) coupled with dynamic susceptibility contrast (DSC). However, a definitive diagnosis often requires neurosurgical interventions...
Predicting long-term progression of Alzheimer's disease using a multimodal deep learning model incorporating interaction effects.
Journal of translational medicine
Mar 11, 2024
BACKGROUND: Identifying individuals with mild cognitive impairment (MCI) at risk of progressing to Alzheimer's disease (AD) provides a unique opportunity for early interventions. Therefore, accurate and long-term prediction of the conversion from MCI...
Brain age of rhesus macaques over the lifespan.
Neurobiology of aging
Mar 9, 2024
Through the application of machine learning algorithms to neuroimaging data the brain age methodology was shown to provide a useful individual-level biological age prediction and identify key brain regions responsible for the prediction. In this stud...
MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.
Journal of magnetic resonance imaging : JMRI
Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.
Medical & biological engineering & computing
Mar 8, 2024
Presently, the combination of graph convolutional networks (GCN) with resting-state functional magnetic resonance imaging (rs-fMRI) data is a promising approach for early diagnosis of autism spectrum disorder (ASD). However, the prevalent approach in...
"sCT-Feasibility" - a feasibility study for deep learning-based MRI-only brain radiotherapy.
Radiation oncology (London, England)
Mar 8, 2024
BACKGROUND: Radiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images are used for RT treatment planning whereas magnetic resonance imaging (MRI) images are used for tumo...
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRI.
Journal of medical systems
Mar 8, 2024
Although magnetic resonance imaging (MRI) data of patients with multiple myeloma (MM) are used to predict prognosis, few reports have applied artificial intelligence (AI) techniques for this purpose. We aimed to analyze whole-body diffusion-weighted ...
Of editorial processes, AI models, and medical literature: the Magnetic Resonance Audiometry experiment.
European radiology
Mar 7, 2024
The potential of artificial intelligence (AI) in the field of medical research is unquestionable. Nevertheless, the scientific community has raised several concerns about a possible fraudulent use of these tools that might be used to generate inaccur...
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