AIMC Topic: Brain
Clear Filters Showing 541 to 550 of 4188 articles
In good hands: A case for improving robotic dexterity.
Science (New York, N.Y.)
Dec 12, 2024
Twenty-first-century roboticists envision robots capable of sorting objects and packaging them, of chopping vegetables and folding clothes. But although many today believe that the only factors necessary for robots to achieve dexterous manipulation a...
Unlocking Security for Comprehensive Electroencephalogram-Based User Authentication Systems.
Sensors (Basel, Switzerland)
Dec 11, 2024
With recent significant advancements in artificial intelligence, the necessity for more reliable recognition systems has rapidly increased to safeguard individual assets. The use of brain signals for authentication has gained substantial interest wit...
Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.
Annals of neurology
Dec 10, 2024
OBJECTIVES: Neonatal hypoxic-ischemic encephalopathy is a serious neurologic condition associated with death or neurodevelopmental impairments. Magnetic resonance imaging (MRI) is routinely used for neuroprognostication, but there is substantial subj...
A neural network to create super-resolution MR from multiple 2D brain scans of pediatric patients.
Medical physics
Dec 10, 2024
BACKGROUND: High-resolution (HR) 3D MR images provide detailed soft-tissue information that is useful in assessing long-term side-effects after treatment in childhood cancer survivors, such as morphological changes in brain structures. However, these...
MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers.
Computers in biology and medicine
Dec 10, 2024
BACKGROUND: Quantitative magnetic resonance imaging (MRI) analysis has shown promise in differentiating neurodegenerative Parkinsonian syndromes and has significantly advanced our understanding of diseases like progressive supranuclear palsy (PSP) in...
Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
Brain functional network (BFN) analysis has become a popular method for identifying neurological diseases at their early stages and revealing sensitive biomarkers related to these diseases. Due to the fact that BFN is a graph with complex structure, ...
A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
Using brain imaging quantitative traits (QTs) for identifying genetic risk factors is an important research topic in brain imaging genetics. Many efforts have been made for this task via building linear models between imaging QTs and genetic factors ...
Predicting drug craving among ketamine-dependent users through machine learning based on brain structural measures.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 9, 2024
BACKGROUND: Craving is a core factor driving drug-seeking and -taking, representing a significant risk factor for relapse. This study aims to identify neuroanatomical biomarkers for quantifying and predicting craving.
Enhancing brain tumor classification by integrating radiomics and deep learning features: A comprehensive study utilizing ensemble methods on MRI scans.
Journal of X-ray science and technology
Dec 9, 2024
BACKGROUND AND OBJECTIVE: This study aims to assess the effectiveness of combining radiomics features (RFs) with deep learning features (DFs) for classifying brain tumors-specifically Glioma, Meningioma, and Pituitary Tumor-using MRI scans and advanc...
A multi-view learning approach with diffusion model to synthesize FDG PET from MRI T1WI for diagnosis of Alzheimer's disease.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Dec 6, 2024
INTRODUCTION: This study presents a novel multi-view learning approach for machine learning (ML)-based Alzheimer's disease (AD) diagnosis.
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 32544
- Neural Networks, Computer 30502
- Algorithms 27746
- Deep Learning 27302
- Artificial Intelligence 25227
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9537
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4812
- Computational Biology 4397
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7013
- Sensors (Basel, Switzerland) 4794
- PloS one 4326
- 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 1197
- Journal of chemical information and modeling 1088
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 880
- Bioinformatics (Oxford, England) 880
- IEEE transactions on neural networks and learning systems 859