AIMC Topic: Hippocampus

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Automatic deep learning segmentation of the hippocampus on high-resolution diffusion magnetic resonance imaging and its application to the healthy lifespan.

NMR in biomedicine Aug 13, 2024
Diffusion tensor imaging (DTI) can provide unique contrast and insight into microstructural changes with age or disease of the hippocampus, although it is difficult to measure the hippocampus because of its comparatively small size, location, and sha...
Humans Young Adult Adult Male Middle Aged Female Aged Aged, 80 and over Hippocampus Longevity Automation Deep Learning Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Adolescent Image Processing, Computer-Assisted
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Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks.

NeuroImage Aug 3, 2024
Hippocampal atrophy (tissue loss) has become a fundamental outcome parameter in clinical trials on Alzheimer's disease. To accurately estimate hippocampus volume and track its volume loss, a robust and reliable segmentation is essential. Manual hippo...
Magnetic Resonance Imaging Alzheimer Disease Hippocampus Male Deep Learning Image Processing, Computer-Assisted Neuroimaging Humans Neural Networks, Computer Female Aged
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Random effects during training: Implications for deep learning-based medical image segmentation.

Computers in biology and medicine Aug 2, 2024
BACKGROUND: A single learning algorithm can produce deep learning-based image segmentation models that vary in performance purely due to random effects during training. This study assessed the effect of these random performance fluctuations on the re...
Brain Neoplasms Humans Deep Learning Algorithms Image Processing, Computer-Assisted Hippocampus
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DSnet: a new dual-branch network for hippocampus subfield segmentation.

Scientific reports Jul 3, 2024
The hippocampus is a critical component of the brain and is associated with many neurological disorders. It can be further subdivided into several subfields, and accurate segmentation of these subfields is of great significance for diagnosis and rese...
Magnetic Resonance Imaging Hippocampus Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
The brain has computational capabilities that surpass those of modern systems, being able to solve complex problems efficiently in a simple way. Neuromorphic engineering aims to mimic biology in order to develop new systems capable of incorporating s...
Humans Memory Learning CA3 Region, Hippocampal Neural Networks, Computer Action Potentials Animals Computer Simulation Neurons Models, Neurological Hippocampus
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A neural network model for online one-shot storage of pattern sequences.

PloS one Jun 20, 2024
Based on the CRISP theory (Content Representation, Intrinsic Sequences, and Pattern completion), we present a computational model of the hippocampus that allows for online one-shot storage of pattern sequences without the need for a consolidation pro...
Hippocampus Neuronal Plasticity Humans Models, Neurological Neural Networks, Computer Synapses Learning
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Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images.

Journal of imaging informatics in medicine Jun 10, 2024
To develop a robust segmentation model, encoding the underlying features/structures of the input data is essential to discriminate the target structure from the background. To enrich the extracted feature maps, contrastive learning and self-learning ...
Tomography, X-Ray Computed Semantics Brain Neoplasms Deep Learning Magnetic Resonance Imaging Hippocampus Image Processing, Computer-Assisted Kidney Humans
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A recurrent network model of planning explains hippocampal replay and human behavior.

Nature neuroscience Jun 7, 2024
When faced with a novel situation, people often spend substantial periods of time contemplating possible futures. For such planning to be rational, the benefits to behavior must compensate for the time spent thinking. Here, we capture these features ...
Hippocampus Thinking Reinforcement, Psychology Spatial Navigation Animals Prefrontal Cortex Humans Models, Neurological Neural Networks, Computer
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PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application.

Journal of neural engineering May 28, 2024
. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines the application of deep learning (DL) methodologies in detecting neurophysiological biomarkers for epileptogenic zones from EEG recordings.. We introdu...
Electroencephalography Epilepsy Hippocampus Animals Deep Learning Rats Humans Software Algorithms
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Geodesic shape regression based deep learning segmentation for assessing longitudinal hippocampal atrophy in dementia progression.

NeuroImage. Clinical May 26, 2024
Longitudinal hippocampal atrophy is commonly used as progressive marker assisting clinical diagnose of dementia. However, precise quantification of the atrophy is limited by longitudinal segmentation errors resulting from MRI artifacts across multipl...
Humans Image Processing, Computer-Assisted Female Longitudinal Studies Aged Disease Progression Atrophy Alzheimer Disease Magnetic Resonance Imaging Aged, 80 and over Deep Learning Hippocampus Male Dementia Neuroimaging
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