AIMC Topic: Atlases as Topic

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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones.

PeerJ May 26, 2025
BACKGROUND: Volumetric atlases are an invaluable tool in neuroscience and otolaryngology, greatly aiding experiment planning and surgical interventions, as well as the interpretation of experimental and clinical data. The rat is a major animal model ...
Atlases as Topic Temporal Bone Animals Rats Ear, Inner X-Ray Microtomography
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Parcellation of individual brains: From group level atlas to precise mapping.

Neuroscience and biobehavioral reviews Apr 21, 2025
Individual brains vary greatly in morphology, connectivity, and organization. Group-level brain parcellations, which do not account for individual variations in brain parcels, are increasingly limited in their applicability, especially given the rapi...
Humans Brain Mapping Neuroimaging Atlases as Topic Machine Learning Brain Magnetic Resonance Imaging
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Deep learning applied to the segmentation of rodent brain MRI data outperforms noisy ground truth on full-fledged brain atlases.

NeuroImage Nov 26, 2024
Translational magnetic resonance imaging of the rodent brain provides invaluable information for preclinical drug development. However, the automated segmentation of such images for quantitative analyses is limited compared to human brain imaging mai...
Animals Male Deep Learning Brain Atlases as Topic Image Processing, Computer-Assisted Rats Magnetic Resonance Imaging
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Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnosis of brain disorders. However, state-of-the-art studies used to build the FCN using a single brain parcellation atlas at...
Humans Neural Networks, Computer Magnetic Resonance Imaging Alzheimer Disease Male Brain Brain Diseases Deep Learning Female Image Processing, Computer-Assisted Aged Neuroimaging Atlases as Topic
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Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.

Communications biology Sep 10, 2024
The central nervous system (CNS) comprises a diverse range of brain cell types with distinct functions and gene expression profiles. Although single-cell RNA sequencing (scRNA-seq) provides new insights into the brain cell atlases, integrating large-...
Central Nervous System Atlases as Topic Deep Learning Single-Cell Gene Expression Analysis Cluster Analysis Neurodegenerative Diseases Supervised Machine Learning Datasets as Topic Humans Animals
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Real-world exoskeletons are better than those in the movie .

Science robotics Aug 28, 2024
The recent movie misses fundamental robotics advances in self-stabilization and human-robot interaction.
Motion Pictures Exoskeleton Device Man-Machine Systems Atlases as Topic Humans Robotics
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MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning.

Nature communications Oct 13, 2021
Understanding the basis of brain function requires knowledge of cortical operations over wide spatial scales and the quantitative analysis of brain activity in well-defined brain regions. Matching an anatomical atlas to brain functional data requires...
Machine Learning Nerve Net Stereotaxic Techniques Mice, Transgenic Brain Mapping Atlases as Topic Cerebral Cortex Algorithms Optical Imaging Animals Male Image Processing, Computer-Assisted Mice
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Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models.

Radiation oncology (London, England) Sep 9, 2021
BACKGROUND: Contour delineation, a crucial process in radiation oncology, is time-consuming and inaccurate due to inter-observer variation has been a critical issue in this process. An atlas-based automatic segmentation was developed to improve the d...
Observer Variation Cloud Computing Atlases as Topic Head and Neck Neoplasms Prostatic Neoplasms Organs at Risk Humans Artificial Intelligence Male
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Strategies for feature extraction from structural brain imaging in lesion-deficit modelling.

Human brain mapping Aug 20, 2021
High-dimensional modelling of post-stroke deficits from structural brain imaging is highly relevant to basic cognitive neuroscience and bears the potential to be translationally used to guide individual rehabilitation measures. One strategy to optimi...
Humans Stroke Neuroimaging Atlases as Topic Machine Learning Biomarkers Models, Neurological
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Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance.

Nature communications May 11, 2021
Resistance to ionizing radiation, a first-line therapy for many cancers, is a major clinical challenge. Personalized prediction of tumor radiosensitivity is not currently implemented clinically due to insufficient accuracy of existing machine learnin...
Atlases as Topic Gene Expression Regulation, Neoplastic Radiation, Ionizing Neoplasms Treatment Outcome Datasets as Topic Humans Transcriptome Databases, Genetic Genome, Human Machine Learning Cell Line, Tumor Radiation Tolerance Neoplasm Proteins Metabolic Networks and Pathways Survival Analysis
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