AIMC Topic: Magnetic Resonance Imaging
Clear Filters Showing 481 to 490 of 6209 articles
Dilated SE-DenseNet for brain tumor MRI classification.
Scientific reports
Jan 28, 2025
In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an advanced convolutional neural network (CNN) leveraging the DenseNet-121 architecture, enhanced with dilated convolutional layers and Squeeze-and-Excitat...
Data- and Physics-Driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies.
IEEE reviews in biomedical engineering
Jan 28, 2025
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning times often compromise patient comfort and image quality, especially in volumetric, temporal and quantitative scans. This review elucidates recent advan...
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.
IEEE reviews in biomedical engineering
Jan 28, 2025
Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Breast imaging plays a significant role in early diagnosis and intervention to improve the outcome of breast cancer patients. In the past decade, deep l...
Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.
Journal of magnetic resonance imaging : JMRI
Jan 27, 2025
BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Integration of MRI radiomics and clinical data for preoperative prediction of vascular invasion in breast cancer: A deep learning approach.
Magnetic resonance imaging
Jan 27, 2025
BACKGROUND: Accurate preoperative prediction of vascular invasion in breast cancer is crucial for surgical planning and patient management. MRI radiomics has shown promise in enhancing diagnostic precision. This study aims to evaluate the effectivene...
Radiomics
Diffusion Magnetic Resonance Imaging
Middle Aged
Deep Learning
Adult
Humans
Sensitivity and Specificity
Retrospective Studies
Breast Neoplasms
Neoplasm Invasiveness
Image Processing, Computer-Assisted
Image Interpretation, Computer-Assisted
Female
Breast
Contrast Media
Preoperative Care
Aged
Magnetic Resonance Imaging
Semi-supervised Strong-Teacher Consistency Learning for few-shot cardiac MRI image segmentation.
Computer methods and programs in biomedicine
Jan 27, 2025
BACKGROUND AND OBJECTIVE: Cardiovascular disease is a leading cause of mortality worldwide. Automated analysis of heart structures in MRI is crucial for effective diagnostics. While supervised learning has advanced the field of medical image segmenta...
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma.
Journal of translational medicine
Jan 27, 2025
BACKGROUND: Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient prognosis. The survival rate remains low despite standard therapies, highlighting the urgent need for novel treatment strategies. Advanced imaging techni...
Identifying autism spectrum disorder based on machine learning for multi-site fMRI.
Journal of neuroscience methods
Jan 26, 2025
BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetitive stereotypical behavior and social impairment. Early diagnosis is essential for developing a treatment plan for autism. Although multi-site data ca...
Artificial Intelligence in Pancreatic Imaging: A Systematic Review.
United European gastroenterology journal
Jan 26, 2025
The rising incidence of pancreatic diseases, including acute and chronic pancreatitis and various pancreatic neoplasms, poses a significant global health challenge. Pancreatic ductal adenocarcinoma (PDAC) for example, has a high mortality rate due to...
Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods.
Scientific reports
Jan 26, 2025
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sM...
Stay Ahead of Medical AI
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 31239
- Neural Networks, Computer 29811
- Algorithms 26949
- Deep Learning 26474
- Artificial Intelligence 24398
- Robotics 13325
- Image Processing, Computer-Assisted 9569
- Retrospective Studies 9150
- Magnetic Resonance Imaging 6209
- Reproducibility of Results 5604
- Tomography, X-Ray Computed 4787
- Support Vector Machine 4702
- Computational Biology 4259
- Brain 4057
- Computer Simulation 3888
Recent Journals
- Scientific reports 6162
- Sensors (Basel, Switzerland) 4794
- PloS one 4061
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- 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 1278
- IEEE journal of biomedical and health informatics 1141
- Journal of chemical information and modeling 1016
- Nature communications 968
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 830