AIMC Topic:
Magnetic Resonance Imaging

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A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two Institutes.

Academic radiology Apr 17, 2024
RATIONALE AND OBJECTIVES: To evaluate the performance of deep learning (DL) in predicting different breast cancer molecular subtypes using DCE-MRI from two institutes.
Humans Image Interpretation, Computer-Assisted Retrospective Studies Female Deep Learning Breast Neoplasms Aged Contrast Media Middle Aged Adult Magnetic Resonance Imaging
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Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 17, 2024
Semi-supervised learning has made significant progress in medical image segmentation. However, existing methods primarily utilize information from a single dimensionality, resulting in sub-optimal performance on challenging magnetic resonance imaging...
Magnetic Resonance Imaging Algorithms Imaging, Three-Dimensional Supervised Machine Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.

Artificial intelligence in medicine Apr 17, 2024
Accurately measuring the evolution of Multiple Sclerosis (MS) with magnetic resonance imaging (MRI) critically informs understanding of disease progression and helps to direct therapeutic strategy. Deep learning models have shown promise for automati...
Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Humans Deep Learning Image Processing, Computer-Assisted
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High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model.

Medical physics Apr 17, 2024
BACKGROUND: 7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI) curren...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Humans Neural Networks, Computer Brain
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SPINNED: Simulation-based physics-informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data.

Magnetic resonance in medicine Apr 16, 2024
PURPOSE: To propose the simulation-based physics-informed neural network for deconvolution of dynamic susceptibility contrast (DSC) MRI (SPINNED) as an alternative for more robust and accurate deconvolution compared to existing methods.
Algorithms Brain Computer Simulation Humans Neural Networks, Computer Magnetic Resonance Imaging Signal-To-Noise Ratio Image Processing, Computer-Assisted Contrast Media
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Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning.

Magnetic resonance in medicine Apr 16, 2024
Deep learning (DL) has emerged as a leading approach in accelerating MRI. It employs deep neural networks to extract knowledge from available datasets and then applies the trained networks to reconstruct accurate images from limited measurements. Unl...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Supervised Machine Learning Humans Neural Networks, Computer
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Highly-accelerated CEST MRI using frequency-offset-dependent k-space sampling and deep-learning reconstruction.

Magnetic resonance in medicine Apr 16, 2024
PURPOSE: To develop a highly accelerated CEST Z-spectral acquisition method using a specifically-designed k-space sampling pattern and corresponding deep-learning-based reconstruction.
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Male Algorithms Prospective Studies Brain Humans Retrospective Studies Female Adult
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CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 16, 2024
Cardiovascular MRI (CMRI) is a non-invasive imaging technique adopted for assessing the blood circulatory system's structure and function. Precise image segmentation is required to measure cardiac parameters and diagnose abnormalities through CMRI da...
Magnetic Resonance Imaging Heart Heart Ventricles Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Magnetic Resonance Imaging Images Based Brain Tumor Extraction, Segmentation and Detection Using Convolutional Neural Network and VGC 16 Model.

American journal of clinical oncology Apr 16, 2024
OBJECTIVES: In this paper, we look at how to design and build a system to find tumors using 2 Convolutional Neural Network (CNN) models. With the help of digital image processing and deep Learning, we can make a system that automatically diagnoses an...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Brain Neoplasms Deep Learning
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Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.

European journal of radiology Apr 16, 2024
PURPOSE: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.
Male Middle Aged Deep Learning Aged Sensitivity and Specificity Humans Retrospective Studies Magnetic Resonance Imaging Reproducibility of Results Prostatic Neoplasms Image Interpretation, Computer-Assisted
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