AIMC Topic: Magnetic Resonance Imaging
Clear Filters Showing 831 to 840 of 6485 articles
Feasibility/clinical utility of half-Fourier single-shot turbo spin echo imaging combined with deep learning reconstruction in gynecologic magnetic resonance imaging.
Abdominal radiology (New York)
Dec 18, 2024
BACKGROUND: When antispasmodics are unavailable, the periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER; called BLADE by Siemens Healthineers) or half Fourier single-shot turbo spin echo (HASTE) is clinically used...
Generative Adversarial Network Based Contrast Enhancement: Synthetic Contrast Brain Magnetic Resonance Imaging.
Academic radiology
Dec 18, 2024
RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, GBCAs present certain risk...
Development and Validation of a Multimodal Machine Learning Model for Diagnosing and Assessing Risk of Crohn's Disease in Patients With Perianal Fistula.
Alimentary pharmacology & therapeutics
Dec 18, 2024
BACKGROUND: Diagnosis of Crohn's disease (CD) can pose challenges, particularly when perianal fistula is the initial presentation.
MHAGuideNet: a 3D pre-trained guidance model for Alzheimer's Disease diagnosis using 2D multi-planar sMRI images.
BMC medical imaging
Dec 18, 2024
BACKGROUND: Alzheimer's Disease is a neurodegenerative condition leading to irreversible and progressive brain damage, with possible features such as structural atrophy. Effective precision diagnosis is crucial for slowing disease progression and red...
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.
Scientific reports
Dec 18, 2024
Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processes in the healthcare industry. Earlier diagnosis and localization of BT provide timely options to select effective treatment plans for the doctors and ...
Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.
Journal of magnetic resonance imaging : JMRI
Dec 17, 2024
BACKGROUND: Deep learning (DL) often requires an image quality metric; however, widely used metrics are not designed for medical images.
Deep Learning techniques to detect and analysis of multiple sclerosis through MRI: A systematic literature review.
Computers in biology and medicine
Dec 17, 2024
Deep learning (DL) techniques represent a rapidly advancing field within artificial intelligence, gaining significant prominence in the detection and analysis of various medical conditions through the analysis of medical data. This study presents a s...
Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Dec 17, 2024
OBJECTIVE: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance...
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.
Medical image analysis
Dec 16, 2024
Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying...
A Fusion Model of MRI Deep Transfer Learning and Radiomics for Discriminating between Pilocytic Astrocytoma and Adamantinomatous Craniopharyngioma.
Academic radiology
Dec 16, 2024
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a fusion model combining MRI deep transfer learning (DTL) and radiomics for discriminating between pilocytic astrocytoma (PA) and adamantinomatous craniopharyngioma (ACP) in the sella...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860