AIMC Topic: Brain

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Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography.

Neuroradiology Nov 22, 2023
PURPOSE: This study aimed to investigate the impact of deep learning reconstruction (DLR) on acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR).
Humans Tomography, X-Ray Computed Radiation Dosage Algorithms Male Brain Retrospective Studies Deep Learning Brain Infarction Radiographic Image Interpretation, Computer-Assisted
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Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI.

Magma (New York, N.Y.) Nov 21, 2023
OBJECTIVE: This study aims to assess the statistical significance of training parameters in 240 dense UNets (DUNets) used for enhancing low Signal-to-Noise Ratio (SNR) and undersampled MRI in various acquisition protocols. The objective is to determi...
Deep Learning Image Processing, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Humans Magnetic Resonance Imaging Analysis of Variance Neural Networks, Computer Brain Algorithms Reproducibility of Results
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Noise reduction by multiple path neural network using Attention mechanisms with an emphasis on robustness against Errors: A pilot study on brain Diffusion-Weighted images.

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) Nov 21, 2023
PURPOSE: In deep learning-based noise reduction, larger networks offer advanced and complex functionality by utilizing its greater degree of freedom, but come with increased unpredictability, raising the potential risk of unforeseen errors. Here, we ...
Image Processing, Computer-Assisted Neural Networks, Computer Signal-To-Noise Ratio Brain Humans Pilot Projects
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A Semi-Autonomous Stereotactic Brain Biopsy Robotic System With Enhanced Surgical Safety and Surgeon-Robot Collaboration.

IEEE transactions on bio-medical engineering Nov 21, 2023
OBJECTIVE: Despite benefits brought by recent neurosurgical robots, surgical safety and surgeon-robot collaboration remain significant challenges. In this article, we analyze and address these problems in the context of brain biopsy, by proposing a s...
Humans Robotics Robotic Surgical Procedures Biopsy Brain Surgeons
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Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection.

International journal of computer assisted radiology and surgery Nov 20, 2023
PURPOSE: Accurate and automatic segmentation of basal ganglia from magnetic resonance (MR) images is important for diagnosis and treatment of various brain disorders. However, the basal ganglia segmentation is a challenging task because of the class ...
Basal Ganglia Humans Neural Networks, Computer Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging
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Facemap: a framework for modeling neural activity based on orofacial tracking.

Nature neuroscience Nov 20, 2023
Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural activity across the brain. To understand the nature and function of these signals, we need better computational models to characterize the behaviors and relat...
Neurons Cerebral Cortex Animals Mice Algorithms Brain Neural Networks, Computer
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Oscillatory Responses to Tactile Stimuli of Different Intensity.

Sensors (Basel, Switzerland) Nov 20, 2023
Tactile perception encompasses several submodalities that are realized with distinct sensory subsystems. The processing of those submodalities and their interactions remains understudied. We developed a paradigm consisting of three types of touch tun...
Touch Emotions Humans Touch Perception Physical Stimulation Robotics Brain
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An attention 3DUNET and visual geometry group-19 based deep neural network for brain tumor segmentation and classification from MRI.

Journal of biomolecular structure & dynamics Nov 18, 2023
There has been an abrupt increase in brain tumor (BT) related medical cases during the past ten years. The tenth most typical type of tumor affecting millions of people is the BT. The cure rate can, however, rise if it is found early. When evaluating...
Neural Networks, Computer Algorithms Humans Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Brain Brain Neoplasms Magnetic Resonance Imaging
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Searching for the grail: may machine learning be a road to clinical use of brain MRI segmentation?

European radiology Nov 17, 2023
Magnetic Resonance Imaging Machine Learning Humans Brain
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Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
Diagnosis, Differential Glioblastoma Humans Deep Learning Magnetic Resonance Imaging Radiomics Brain Brain Neoplasms
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