AIMC Topic: Magnetic Resonance Imaging
Clear Filters Showing 3191 to 3200 of 6200 articles
Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines.
STAR protocols
Aug 12, 2021
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learn...
Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks.
Computational and mathematical methods in medicine
Aug 12, 2021
The deep neural network has achieved good results in medical image superresolution. However, due to the medical equipment limitations and the complexity of the human body structure, it is difficult to reconstruct clear cardiac magnetic resonance (CMR...
Design of Deep Learning Model for Task-Evoked fMRI Data Classification.
Computational intelligence and neuroscience
Aug 12, 2021
Machine learning methods have been successfully applied to neuroimaging signals, one of which is to decode specific task states from functional magnetic resonance imaging (fMRI) data. In this paper, we propose a model that simultaneously utilizes cha...
Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results.
PloS one
Aug 12, 2021
This study aims to determine how randomly splitting a dataset into training and test sets affects the estimated performance of a machine learning model and its gap from the test performance under different conditions, using real-world brain tumor rad...
Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI.
Parkinsonism & related disorders
Aug 11, 2021
OBJECTIVE: This study aimed to develop an automatic classifier to distinguish different motor subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional magnetic resonance imaging (rs-fMRI).
Machine Learning Approaches in Study of Multiple Sclerosis Disease Through Magnetic Resonance Images.
Frontiers in immunology
Aug 11, 2021
Multiple sclerosis (MS) is one of the most common autoimmune diseases which is commonly diagnosed and monitored using magnetic resonance imaging (MRI) with a combination of clinical manifestations. The purpose of this review is to highlight the main ...
Multiparametric mapping in the brain from conventional contrast-weighted images using deep learning.
Magnetic resonance in medicine
Aug 10, 2021
PURPOSE: To develop a deep-learning-based method to quantify multiple parameters in the brain from conventional contrast-weighted images.
MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst.
Computational and mathematical methods in medicine
Aug 10, 2021
BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagno...
Image Interpretation, Computer-Assisted
Semantics
Central Nervous System Cysts
Pituitary Neoplasms
Adenoma
Neural Networks, Computer
Diagnosis, Differential
Machine Learning
Middle Aged
Retrospective Studies
Diagnosis, Computer-Assisted
Humans
Computational Biology
Female
Magnetic Resonance Imaging
Adult
Male
Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.
Computational and mathematical methods in medicine
Aug 10, 2021
PURPOSE: To investigate whether quantitative radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could be used to differentiate triple-negative breast cancer (TNBC) and nontriple-negative breast cancer (no...
Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Aug 6, 2021
Morphological changes in knee cartilage subregions are valuable imaging-based biomarkers for understanding progression of osteoarthritis, and they are typically detected from magnetic resonance imaging (MRI). So far, accurate segmentation of cartilag...
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 31144
- Neural Networks, Computer 29771
- Algorithms 26915
- Deep Learning 26421
- Artificial Intelligence 24361
- Robotics 13323
- Image Processing, Computer-Assisted 9552
- Retrospective Studies 9137
- Magnetic Resonance Imaging 6200
- Reproducibility of Results 5602
- Tomography, X-Ray Computed 4778
- Support Vector Machine 4696
- Computational Biology 4246
- Brain 4056
- Computer Simulation 3887
Recent Journals
- Scientific reports 6082
- Sensors (Basel, Switzerland) 4794
- PloS one 4051
- 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 1137
- Journal of chemical information and modeling 1006
- Nature communications 959
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 830