AIMC Topic: Magnetic Resonance Imaging
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Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain.
NeuroImage
Jul 23, 2022
Brain-age (BA) estimates based on deep learning are increasingly used as neuroimaging biomarker for brain health; however, the underlying neural features have remained unclear. We combined ensembles of convolutional neural networks with Layer-wise Re...
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
Medical physics
Jul 22, 2022
PURPOSE: Brain metastases (BM) occur frequently in patients with metastatic cancer. Early and accurate detection of BM is essential for treatment planning and prognosis in radiation therapy. Due to their tiny sizes and relatively low contrast, small ...
Artificial Intelligence and Cardiovascular Magnetic Resonance Imaging in Myocardial Infarction Patients.
Current problems in cardiology
Jul 21, 2022
Cardiovascular magnetic resonance (CMR) is an important cardiac imaging tool for assessing the prognostic extent of myocardial injury after myocardial infarction (MI). Within the context of clinical trials, CMR is also useful for assessing the effica...
Machine learning for multi-parametric breast MRI: radiomics-based approaches for lesion classification.
Physics in medicine and biology
Jul 20, 2022
In the artificial intelligence era, machine learning (ML) techniques have gained more and more importance in the advanced analysis of medical images in several fields of modern medicine. Radiomics extracts a huge number of medical imaging features re...
Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry.
Journal of magnetic resonance imaging : JMRI
Jul 19, 2022
BACKGROUND: Deep learning (DL)-based automatic segmentation models can expedite manual segmentation yet require resource-intensive fine-tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine-tuning i...
Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
Radiology
Jul 19, 2022
Background Assessment of appropriate brain myelination on T1- and T2-weighted MRI scans is based on gestationally corrected age (GCA) and requires subjective visual inspection of the brain with knowledge of normal myelination milestones. Purpose To d...
Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.
European journal of nuclear medicine and molecular imaging
Jul 19, 2022
PURPOSE: Attenuation correction is a critically important step in data correction in positron emission tomography (PET) image formation. The current standard method involves conversion of Hounsfield units from a computed tomography (CT) image to cons...
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network.
Artificial intelligence in medicine
Jul 19, 2022
Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical practice. However, most segmentation models do not perform well on scarce pediatric imaging data. We propose a new pre-trained regularized convolutiona...
Convolutional Neural Networks in Spinal Magnetic Resonance Imaging: A Systematic Review.
World neurosurgery
Jul 19, 2022
OBJECTIVE: Convolutional neural networks (CNNs) are being increasingly used in the medical field, especially for image recognition in high-resolution, large-volume data sets. The study represents the current state of research on the application of CN...
A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.
Journal of neuro-oncology
Jul 19, 2022
INTRODUCTION: Glioblastomas (GBMs) are highly aggressive tumors. A common clinical challenge after standard of care treatment is differentiating tumor progression from treatment-related changes, also known as pseudoprogression (PsP). Usually, PsP res...
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