AIMC Topic: Brain

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Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms.

Scientific reports Dec 16, 2023
The clinical applications of brain age prediction have expanded, particularly in anticipating the onset and prognosis of various neurodegenerative diseases. In the current study, we proposed a deep learning algorithm that leverages brain structural i...
Brain Deep Learning Alzheimer Disease Neural Networks, Computer Algorithms Humans
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Machine learning and deep learning for brain tumor MRI image segmentation.

Experimental biology and medicine (Maywood, N.J.) Dec 16, 2023
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturi...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Algorithms Humans Image Processing, Computer-Assisted Brain Machine Learning
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Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy.

NeuroImage Dec 15, 2023
Identifying the location, the spatial extent and the electrical activity of distributed brain sources in the context of epilepsy through ElectroEncephaloGraphy (EEG) recordings is a challenging task because of the highly ill-posed nature of the under...
Epilepsy Drug Resistant Epilepsy Deep Learning Humans Brain Mapping Electroencephalography Brain
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Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.

PLoS biology Dec 13, 2023
Models that predict brain responses to stimuli provide one measure of understanding of a sensory system and have many potential applications in science and engineering. Deep artificial neural networks have emerged as the leading such predictive model...
Hearing Auditory Perception Neural Networks, Computer Noise Brain Auditory Cortex
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Deep learning MRI-only synthetic-CT generation for pelvis, brain and head and neck cancers.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 12, 2023
BACKGROUND AND PURPOSE: MRI-only planning relies on dosimetrically accurate synthetic-CT (sCT) generation to allow dose calculation. Here we validated the dosimetric accuracy of sCTs generated using a deep learning algorithm for pelvic, brain and hea...
Deep Learning Pelvis Humans Brain Blood Coagulation Disorders Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Radiotherapy Dosage
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Cell-type-directed design of synthetic enhancers.

Nature Dec 12, 2023
Transcriptional enhancers act as docking stations for combinations of transcription factors and thereby regulate spatiotemporal activation of their target genes. It has been a long-standing goal in the field to decode the regulatory logic of an enhan...
Drosophila melanogaster Cells Repressor Proteins Synthetic Biology Gene Expression Regulation Neuroglia Enhancer Elements, Genetic Brain Animals Transcription Factors Animals, Genetically Modified Deep Learning Humans
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Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model.

NeuroImage Dec 12, 2023
This study presents a comprehensive examination of sex-related differences in resting-state electroencephalogram (EEG) data, leveraging two different types of machine learning models to predict an individual's sex. We utilized data from the Two Decad...
Brain Magnetic Resonance Imaging Humans Neural Networks, Computer Electroencephalography Machine Learning
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The hardware is the software.

Neuron Dec 11, 2023
Human brains and bodies are not hardware running software: the hardware is the software. We reason that because the physics of artificial intelligence hardware and of human biological "hardware" is distinct, neuromorphic engineers need to be selectiv...
Humans Artificial Intelligence Software Neurosciences Computers Brain
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How well do rudimentary plasticity rules predict adult visual object learning?

PLoS computational biology Dec 11, 2023
A core problem in visual object learning is using a finite number of images of a new object to accurately identify that object in future, novel images. One longstanding, conceptual hypothesis asserts that this core problem is solved by adult brains t...
Spatial Learning Pattern Recognition, Visual Primates Brain Adult Models, Neurological Visual Perception Animals Humans Neural Networks, Computer
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Unsupervised deep learning model for correcting Nyquist ghosts of single-shot spatiotemporal encoding.

Magnetic resonance in medicine Dec 10, 2023
PURPOSE: To design an unsupervised deep learning (DL) model for correcting Nyquist ghosts of single-shot spatiotemporal encoding (SPEN) and evaluate the model for real MRI applications.
Algorithms Brain Artifacts Phantoms, Imaging Deep Learning Echo-Planar Imaging Image Processing, Computer-Assisted
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