AIMC Topic: Magnetic Resonance Imaging
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Evaluating retinal blood vessels for predicting white matter hyperintensities in ischemic stroke: A deep learning approach.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Oct 10, 2024
OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blood vessels can effectively identify ischemic stroke patients with a high burden of White Matter Hyperintensities (WMH) using Nuclear Magnetic Resonanc...
Female
Reproducibility of Results
Risk Factors
Male
Middle Aged
Aged
Cross-Sectional Studies
Humans
Retrospective Studies
Retinal Vessels
Predictive Value of Tests
Leukoencephalopathies
Ischemic Stroke
Image Interpretation, Computer-Assisted
Risk Assessment
White Matter
Deep Learning
Magnetic Resonance Imaging
Trends in brain MRI and CP association using deep learning.
La Radiologia medica
Oct 10, 2024
Cerebral palsy (CP) is a neurological disorder that dissipates body posture and impairs motor functions. It may lead to an intellectual disability and affect the quality of life. Early intervention is critical and challenging due to the uncooperative...
Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.
F1000Research
Oct 10, 2024
BACKGROUND: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying a...
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery.
Medical image analysis
Oct 9, 2024
In brain network analysis, individual-level data can provide biological features of individuals, while population-level data can provide demographic information of populations. However, existing methods mostly utilize either individual- or population...
Federated learning and deep learning framework for MRI image and speech signal-based multi-modal depression detection.
Computational biology and chemistry
Oct 9, 2024
Adolescence is a significant period for developing skills and knowledge and learning about managing relationships and emotions by gathering attributes for maturity. Recently, Depression arises as a common mental health issue in adolescents and this a...
Evaluation of the accuracy of automated segmentation based on deep learning for prostate cancer patients.
Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Oct 8, 2024
PURPOSE: This study evaluated the accuracy of a commercial deep learning (DL)-based algorithm for segmenting the prostate, seminal vesicles (SV), and organs at risk (OAR) in patients with prostate cancer.
Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.
Journal of applied clinical medical physics
Oct 6, 2024
PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM...
Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.
Medical physics
Oct 6, 2024
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to evaluate multiple new therapeutic drugs for high-risk breast cancer. Previous studies suggest that pathological complete response (pCR) is a viable indic...
Artificial intelligence for detection and characterization of focal hepatic lesions: a review.
Abdominal radiology (New York)
Oct 5, 2024
Focal liver lesions (FLL) are common incidental findings in abdominal imaging. While the majority of FLLs are benign and asymptomatic, some can be malignant or pre-malignant, and need accurate detection and classification. Current imaging techniques,...
MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI.
Neural networks : the official journal of the International Neural Network Society
Oct 5, 2024
Magnetic resonance imaging (MRI) plays a pivotal role in diagnosing and staging prostate cancer. Precise delineation of the peripheral zone (PZ) and transition zone (TZ) within prostate MRI is essential for accurate diagnosis and subsequent artificia...
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