AIMC Topic:
Magnetic Resonance Imaging
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Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size.
Journal of magnetic resonance imaging : JMRI
Jul 28, 2023
BACKGROUND: Weakly supervised learning promises reduced annotation effort while maintaining performance.
Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data.
Investigative radiology
Jul 28, 2023
OBJECTIVES: Artificial intelligence (AI) methods can be applied to enhance contrast in diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) normally used in the clinic, thus potentially increasing diagnostic power...
Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.
European radiology
Jul 28, 2023
OBJECTIVES: To evaluate a fully automatic deep learning system to detect and segment clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different institutions not contributing to training of the system.
Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality.
European journal of radiology
Jul 28, 2023
PURPOSE: To evaluate the impact of a commercially available deep learning-based reconstruction (DLR) algorithm with varying combinations of DLR noise reduction settings and imaging parameters on quantitative and qualitative image quality, PI-RADS cla...
Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study.
Journal of magnetic resonance imaging : JMRI
Jul 27, 2023
BACKGROUND: Accurate diagnosis of breast lesions and discrimination of axillary lymph node (ALN) metastases largely depend on radiologist experience.
Editorial for "A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI".
Journal of magnetic resonance imaging : JMRI
Jul 27, 2023
Deep learning-based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI.
European radiology
Jul 27, 2023
OBJECTIVE: To compare the image quality and diagnostic performance between standard turbo spin-echo MRI and accelerated MRI with deep learning (DL)-based image reconstruction for degenerative lumbar spine diseases.
A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks.
Behavioural brain research
Jul 27, 2023
BACKGROUND: It has been recently shown that deep learning models exhibited remarkable performance of representing functional Magnetic Resonance Imaging (fMRI) data for the understanding of brain functional activities. With hierarchical structure, dee...
Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.
NeuroImage
Jul 26, 2023
PURPOSE: In Dynamic contrast-enhanced MRI (DCE-MRI), Arterial Input Function (AIF) has been shown to be a significant contributor to uncertainty in the estimation of kinetic parameters. This study is to assess the feasibility of using a deep learning...
Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T.
Academic radiology
Jul 25, 2023
RATIONALE AND OBJECTIVES: To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.
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