AIMC Topic:
Magnetic Resonance Imaging

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Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network.

Journal of neuro-oncology Dec 22, 2023
PURPOSE: This paper presents a deep learning model for use in the automated segmentation of metastatic brain tumors and associated perilesional edema.
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Brain Neoplasms Magnetic Resonance Imaging Edema
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Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.

European radiology Dec 21, 2023
OBJECTIVES: To develop an ensemble multi-task deep learning (DL) framework for automatic and simultaneous detection, segmentation, and classification of primary bone tumors (PBTs) and bone infections based on multi-parametric MRI from multi-center.
Image Interpretation, Computer-Assisted Bone Diseases, Infectious Magnetic Resonance Imaging Bone Neoplasms Male Middle Aged Adolescent Child Deep Learning Aged Young Adult Adult Retrospective Studies Female Humans
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Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion.

Medical engineering & physics Dec 21, 2023
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to assess tissue vascularization, particularly in oncological applications. However, the most widely used pharmacokinetic (PK) models do not account for contrast agent (CA)...
Contrast Media Neural Networks, Computer Magnetic Resonance Imaging Algorithms
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Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.

Journal of applied clinical medical physics Dec 21, 2023
BACKGROUND: Magnetic resonance image only (MRI-only) simulation for head and neck (H&N) radiotherapy (RT) could allow for single-image modality planning with excellent soft tissue contrast. In the MRI-only simulation workflow, synthetic computed tomo...
Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Radiotherapy Dosage Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted
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Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again.

European radiology Dec 20, 2023
Humans Breast Neoplasms Contrast Media Magnetic Resonance Imaging Artificial Intelligence Female Artifacts
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Deep learning applications in vascular dementia using neuroimaging.

Current opinion in psychiatry Dec 20, 2023
PURPOSE OF REVIEW: Vascular dementia (VaD) is the second common cause of dementia after Alzheimer's disease, and deep learning has emerged as a critical tool in dementia research. The aim of this article is to highlight the current deep learning appl...
Humans Brain Neuroimaging Deep Learning Dementia, Vascular Magnetic Resonance Imaging Alzheimer Disease
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MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer.

International journal of molecular sciences Dec 20, 2023
Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral resection vs. radical cystectomy vs. bladder preservation). However, currently, about one-third of patients are over-staged and one-third are under-stage...
Magnetic Resonance Imaging Urinary Bladder Neoplasms Muscles Artificial Intelligence RNA-Seq Humans
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Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

Spine Dec 18, 2023
STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically measured the facet joint (FJ) angles from T2-weighted axial magnetic resonance imagings (MRIs) of the lumbar spine using deep learning (DL).
Cross-Sectional Studies Male Deep Learning Female Reproducibility of Results Zygapophyseal Joint Humans Finland Retrospective Studies Tropism Magnetic Resonance Imaging Lumbar Vertebrae Cohort Studies
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Lesion detection in women breast's dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Scientific reports Dec 18, 2023
Breast cancer is one of the most common cancers in women and the second foremost cause of cancer death in women after lung cancer. Recent technological advances in breast cancer treatment offer hope to millions of women in the world. Segmentation of ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Female Breast Neoplasms Humans Deep Learning
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Machine learning and deep learning for brain tumor MRI image segmentation.

Experimental biology and medicine (Maywood, N.J.) Dec 16, 2023
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturi...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Brain Brain Neoplasms Machine Learning
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