AIMC Topic: Magnetic Resonance Imaging
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Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
Radiology
Nov 15, 2022
Background There is increasing interest in noncontrast breast MRI alternatives for tumor visualization to increase the accessibility of breast MRI. Purpose To evaluate the feasibility and accuracy of generating simulated contrast-enhanced T1-weighted...
Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period.
Journal of neuroscience methods
Nov 15, 2022
Deep learning algorithms for predicting neuroimaging data have shown considerable promise in various applications. Prior work has demonstrated that deep learning models that take advantage of the data's 3D structure can outperform standard machine le...
The added value of a deep learning-based computer-aided detection system on prostate cancer detection among readers with varying level of multiparametric MRI expertise.
Chinese clinical oncology
Nov 15, 2022
A Dual-Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRI.
Journal of magnetic resonance imaging : JMRI
Nov 14, 2022
BACKGROUND: Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers, including the ventilation defect percentage (VDP). VDP is computed from segmentations derived from spatially co-registered functional hyperpolarized gas and str...
Artificial Intelligence to Extract Endogenous Tissue Characteristics: Has the Future Free From Gadolinium Contrast Arrived?
Circulation
Nov 14, 2022
Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model.
Tomography (Ann Arbor, Mich.)
Nov 14, 2022
Automatic identification of short axis slice levels in cardiac magnetic resonance imaging (MRI) is important in efficient and precise diagnosis of cardiac disease based on the geometry of the left ventricle. We developed a combined model of convoluti...
Deep learning-based detection algorithm for brain metastases on black blood imaging.
Scientific reports
Nov 14, 2022
Brain metastases (BM) are the most common intracranial tumors, and their prevalence is increasing. High-resolution black-blood (BB) imaging was used to complement the conventional contrast-enhanced 3D gradient-echo imaging to detect BM. In this study...
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.
European radiology
Nov 12, 2022
OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was t...
P-ResUnet: Segmentation of brain tissue with Purified Residual Unet.
Computers in biology and medicine
Nov 12, 2022
Brain tissue of Magnetic Resonance Imaging is precisely segmented and quantified, which aids in the diagnosis of neurological diseases such as epilepsy, Alzheimer's, and multiple sclerosis. Recently, UNet-like architectures are widely used for medica...
Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Nov 12, 2022
BACKGROUND AND PURPOSE: Deep Learning (DL) technique has shown great potential but still has limited success in online contouring for MR-guided adaptive radiotherapy (MRgART). This study proposed a patient-specific DL auto-segmentation (DLAS) strateg...
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