AIMC Topic: Mice
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Combining electromyographic and electrical impedance data sets through machine learning: A study in D2-mdx and wild-type mice.
Muscle & nerve
Sep 2, 2023
INTRODUCTION/AIMS: Needle impedance-electromyography (iEMG) assesses the active and passive electrical properties of muscles concurrently by using a novel needle with six electrodes, two for EMG and four for electrical impedance myography (EIM). Here...
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.
IEEE transactions on bio-medical engineering
Aug 30, 2023
Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross-sectional areas of glomeruli can be 64 times larger than that of the ...
Learning ADC maps from accelerated radial k-space diffusion-weighted MRI in mice using a deep CNN-transformer model.
Magnetic resonance in medicine
Aug 20, 2023
PURPOSE: To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality ADC maps.
Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images.
Scientific reports
Aug 16, 2023
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A challenge is that lesion segmentation often relies on manual tracing by trained experts, which is labor-intensive, time-consuming, and prone to inter- and...
Physics-informed deep learning for T2-deblurred superresolution turbo spin echo MRI.
Magnetic resonance in medicine
Aug 14, 2023
PURPOSE: Deep learning superresolution (SR) is a promising approach to reduce MRI scan time without requiring custom sequences or iterative reconstruction. Previous deep learning SR approaches have generated low-resolution training images by simple k...
Predicting congenital renal tract malformation genes using machine learning.
Scientific reports
Aug 14, 2023
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children. Studies to date have identified defined genetic causes for only a minority of human RTMs. While some RTMs may be caused by poorly defined environmen...
DLATA: Deep Learning-Assisted transformation alignment of 2D brain slice histology.
Neuroscience letters
Aug 9, 2023
Accurate alignment of brain slices is crucial for the classification of neuron populations by brain region, and for quantitative analysis in in vitro brain studies. Current semi-automated alignment workflows require labor intensive labeling of featur...
Distribution Patterns of Subgroups of Inhibitory Neurons Divided by Calbindin 1.
Molecular neurobiology
Aug 7, 2023
The inhibitory neurons in the brain play an essential role in neural network firing patterns by releasing γ-aminobutyric acid (GABA) as the neurotransmitter. In the mouse brain, based on the protein molecular markers, inhibitory neurons are usually t...
Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis.
Translational research : the journal of laboratory and clinical medicine
Aug 2, 2023
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease (CKD) and end-stage renal failure. Despite extensive research, there have been many clinical trial failures, and there is currently no effective treat...
Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data.
Investigative radiology
Jul 28, 2023
OBJECTIVES: Artificial intelligence (AI) methods can be applied to enhance contrast in diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) normally used in the clinic, thus potentially increasing diagnostic power...
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