AIMC Topic: Brain

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Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning.

IEEE journal of biomedical and health informatics Mar 6, 2024
Nowadays, brain MR (Magnetic Resonance) images are widely used by clinicians to examine the brain's anatomy to look into various pathological conditions like cerebrovascular incidents and neuro-degenerative diseases. Generally, these diseases can be ...
Algorithms Brain Magnetic Resonance Imaging Humans Neural Networks, Computer Machine Learning
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Using a deep learning prior for accelerating hyperpolarized C MRSI on synthetic cancer datasets.

Magnetic resonance in medicine Mar 5, 2024
PURPOSE: We aimed to incorporate a deep learning prior with k-space data fidelity for accelerating hyperpolarized carbon-13 MRSI, demonstrated on synthetic cancer datasets.
Algorithms Brain Brain Neoplasms Humans Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Animals Male Deep Learning Phantoms, Imaging Carbon Isotopes Prostatic Neoplasms Signal-To-Noise Ratio
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Efficient Spiking Neural Networks with Biologically Similar Lithium-Ion Memristor Neurons.

ACS applied materials & interfaces Mar 5, 2024
Benefiting from the brain-inspired event-driven feature and asynchronous sparse coding approach, spiking neural networks (SNNs) are becoming a potentially energy-efficient replacement for conventional artificial neural networks. However, neuromorphic...
Ions Neural Networks, Computer Algorithms Brain Lithium Neurons
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DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.

IEEE transactions on medical imaging Mar 5, 2024
Parcellation of anatomically segregated cortical and subcortical brain regions is required in diffusion MRI (dMRI) analysis for region-specific quantification and better anatomical specificity of tractography. Most current dMRI parcellation approache...
Image Processing, Computer-Assisted Connectome Diffusion Magnetic Resonance Imaging Reproducibility of Results Deep Learning Humans Brain
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Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics.

Scientific reports Mar 1, 2024
Fundamental principles underlying computation in multi-scale brain networks illustrate how multiple brain areas and their coordinated activity give rise to complex cognitive functions. Whereas brain activity has been studied at the micro- to meso-sca...
Brain Cognition Neurons Neural Networks, Computer Motivation
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Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks.

Science bulletin Feb 29, 2024
Cognitive neuroscience aims to develop computational models that can accurately predict and explain neural responses to sensory inputs in the cortex. Recent studies attempt to leverage the representation power of deep neural networks (DNNs) to predic...
Brain Nerve Net Female Visual Perception Young Adult Magnetic Resonance Imaging Humans Adult Models, Neurological Neural Networks, Computer Male Cerebral Cortex Deep Learning
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A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 28, 2024
PURPOSE: To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on image quality, compared to filtered back-projection (FBP) and iDose iterative reconstruction for brain computed tomography (CT) phantom images.
Algorithms Brain Tomography, X-Ray Computed Radiation Dosage Deep Learning Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted
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Comparison of an Ensemble of Machine Learning Models and the BERT Language Model for Analysis of Text Descriptions of Brain CT Reports to Determine the Presence of Intracranial Hemorrhage.

Sovremennye tekhnologii v meditsine Feb 28, 2024
UNLABELLED: is to train and test an ensemble of machine learning models, as well as to compare its performance with the BERT language model pre-trained on medical data to perform simple binary classification, i.e., determine the presence/absence of ...
Female Algorithms Humans Support Vector Machine Brain Machine Learning Male Natural Language Processing Tomography, X-Ray Computed Intracranial Hemorrhages
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Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM.

Journal of neuroradiology = Journal de neuroradiologie Feb 25, 2024
BACKGROUND AND PURPOSE: Olfaction is an early marker of neurodegenerative disease. Standard olfactory function is essential due to the importance of olfaction in human life. The psychophysical evaluation assesses the olfactory function commonly. It i...
Magnetic Resonance Imaging Brain Mapping Olfaction Disorders Middle Aged Deep Learning Neural Networks, Computer Humans Algorithms Brain Female Adult Male
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Explainable multimodal prediction of treatment-resistance in patients with depression leveraging brain morphometry and natural language processing.

Psychiatry research Feb 25, 2024
Although 20 % of patients with depression receiving treatment do not achieve remission, predicting treatment-resistant depression (TRD) remains challenging. In this study, we aimed to develop an explainable multimodal prediction model for TRD using s...
Magnetic Resonance Imaging Natural Language Processing Antidepressive Agents Humans Brain Depression
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