AIMC Topic: Brain

Clear Filters Showing 1101 to 1110 of 4188 articles

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging.

PLoS computational biology Mar 13, 2024
Deep learning is a powerful tool for neural decoding, broadly applied to systems neuroscience and clinical studies. Interpretable and transparent models that can explain neural decoding for intended behaviors are crucial to identifying essential feat...
Calcium Cerebral Cortex Deep Learning Mice Neural Networks, Computer Brain Animals
View on PubMed DOI

A review of ADHD detection studies with machine learning methods using rsfMRI data.

NMR in biomedicine Mar 12, 2024
Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significantly affects school-age children, causing difficulties with learning and daily functioning. Early identification is crucial, and reliable and objective ...
Attention Deficit Disorder with Hyperactivity Machine Learning Magnetic Resonance Imaging Brain Humans Rest
View on PubMed DOI

BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification.

Scientific reports Mar 11, 2024
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surgery. However, a few important challenges a...
Brain Brain Neoplasms Delayed Emergence from Anesthesia Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Brain age of rhesus macaques over the lifespan.

Neurobiology of aging Mar 9, 2024
Through the application of machine learning algorithms to neuroimaging data the brain age methodology was shown to provide a useful individual-level biological age prediction and identify key brain regions responsible for the prediction. In this stud...
Longevity Macaca mulatta Female Animals Aging Algorithms Male Humans Magnetic Resonance Imaging Brain Machine Learning
View on PubMed DOI

Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.

Medical & biological engineering & computing Mar 8, 2024
Presently, the combination of graph convolutional networks (GCN) with resting-state functional magnetic resonance imaging (rs-fMRI) data is a promising approach for early diagnosis of autism spectrum disorder (ASD). However, the prevalent approach in...
Autism Spectrum Disorder Brain Female Humans Neural Networks, Computer Male Adolescent Child Young Adult Adult Brain Mapping Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

"sCT-Feasibility" - a feasibility study for deep learning-based MRI-only brain radiotherapy.

Radiation oncology (London, England) Mar 8, 2024
BACKGROUND: Radiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images are used for RT treatment planning whereas magnetic resonance imaging (MRI) images are used for tumo...
Magnetic Resonance Imaging Feasibility Studies Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Brain Neoplasms Deep Learning Brain Retrospective Studies Humans
View on PubMed DOI

PMF-CNN: parallel multi-band fusion convolutional neural network for SSVEP-EEG decoding.

Biomedical physics & engineering express Mar 8, 2024
Steady-state visual evoked potential (SSVEP) is a key technique of electroencephalography (EEG)-based brain-computer interfaces (BCI), which has been widely applied to neurological function assessment and postoperative rehabilitation. However, accura...
Brain Electroencephalography Evoked Potentials, Visual Neural Networks, Computer Algorithms
View on PubMed DOI

Brain MR image simulation for deep learning based medical image analysis networks.

Computer methods and programs in biomedicine Mar 7, 2024
BACKGROUND AND OBJECTIVE: As large sets of annotated MRI data are needed for training and validating deep learning based medical image analysis algorithms, the lack of sufficient annotated data is a critical problem. A possible solution is the genera...
Humans Magnetic Resonance Imaging Algorithms Deep Learning Neuroimaging Brain Image Processing, Computer-Assisted
View on PubMed DOI

Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning.

AJNR. American journal of neuroradiology Mar 7, 2024
BACKGROUND AND PURPOSE: Recent developments in deep learning methods offer a potential solution to the need for alternative imaging methods due to concerns about the toxicity of gadolinium-based contrast agents. The purpose of the study was to synthe...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Gadolinium Contrast Media Humans Brain
View on PubMed DOI

A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping.

IEEE journal of biomedical and health informatics Mar 6, 2024
Deep learning based multi-atlas segmentation (DL-MA) has achieved the state-of-the-art performance in many medical image segmentation tasks, e.g., brain parcellation. In DL-MA methods, atlas-target correspondence is the key for accurate segmentation....
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain
View on PubMed DOI
Popular Topics
Recent Journals