AIMC Topic: Anisotropy

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Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

IEEE journal of biomedical and health informatics May 6, 2025
Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to...
Humans Neural Networks, Computer Magnetic Resonance Imaging Anisotropy Generative Adversarial Networks Algorithms Brain Image Processing, Computer-Assisted
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Adaptive Vectorial Restoration from Dynamic Speckle Patterns Through Biological Scattering Media Based on Deep Learning.

Sensors (Basel, Switzerland) Mar 14, 2025
Imaging technologies based on vector optical fields hold significant potential in the biomedical field, particularly for non-invasive scattering imaging of anisotropic biological tissues. However, the dynamic and anisotropic nature of biological tiss...
Anisotropy Deep Learning Image Processing, Computer-Assisted Scattering, Radiation Humans Neural Networks, Computer Algorithms
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Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.

Biomechanics and modeling in mechanobiology Feb 24, 2025
Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavior in various physiological and pathological conditions. In this study, we specifically focus on the pulmonary artery in the context of the Ross proce...
Models, Cardiovascular Pulmonary Artery Anisotropy Neural Networks, Computer Biomechanical Phenomena Stress, Mechanical Humans
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning.

Scientific reports Feb 24, 2025
Diffusion magnetic resonance imaging (diffusion MRI) is widely employed to probe the diffusive motion of water molecules within the tissue. Numerous diseases and processes affecting the central nervous system can be detected and monitored via diffusi...
Humans Algorithms White Matter Connectome Diffusion Tensor Imaging Brain Deep Learning Image Processing, Computer-Assisted Anisotropy Diffusion Magnetic Resonance Imaging
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Shape Anisotropy-Dependent Leaking in Magnetic Neurons for Bio-Mimetic Neuromorphic Computing.

ACS nano Jan 14, 2025
Spiking neural networks seek to emulate biological computation through interconnected artificial neuron and synapse devices. Spintronic neurons can leverage magnetization physics to mimic biological neuron functions, such as integration tied to magne...
Neural Networks, Computer Anisotropy Neurons Biomimetics
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Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield.

PloS one Jan 7, 2025
Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating fractured and finely layered geological media. However, many inversion methods rely on complex physical models with initial assumptions, leading to n...
Models, Theoretical Support Vector Machine Anisotropy Oil and Gas Fields Neural Networks, Computer Machine Learning
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Conditional generative diffusion deep learning for accelerated diffusion tensor and kurtosis imaging.

Magnetic resonance imaging Dec 13, 2024
PURPOSE: The purpose of this study was to develop DiffDL, a generative diffusion probabilistic model designed to produce high-quality diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics from a reduced set of diffusion-weighted...
Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Connectome Diffusion Tensor Imaging Anisotropy Diffusion Magnetic Resonance Imaging Male Deep Learning Image Processing, Computer-Assisted Reproducibility of Results Adult Algorithms Brain Female Humans
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Overcoming the preferred-orientation problem in cryo-EM with self-supervised deep learning.

Nature methods Nov 18, 2024
While advances in single-particle cryo-EM have enabled the structural determination of macromolecular complexes at atomic resolution, particle orientation bias (the 'preferred' orientation problem) remains a complication for most specimens. Existing ...
Image Processing, Computer-Assisted Macromolecular Substances Cryoelectron Microscopy Algorithms Deep Learning Imaging, Three-Dimensional Anisotropy Ribosomes Software
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Machine learning reveals correlations between brain age and mechanics.

Acta biomaterialia Oct 28, 2024
Our brain undergoes significant micro- and macroscopic changes throughout its life cycle. It is therefore crucial to understand the effect of aging on the mechanical properties of the brain in order to develop accurate personalized simulations and di...
Swine Bayes Theorem Stress, Mechanical Anisotropy Compressive Strength Biomechanical Phenomena Animals Aging Machine Learning Brain
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A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.

Magnetic resonance imaging Oct 12, 2024
BACKGROUND: The identification and measurement of aortic aneurysms is an important clinical problem. While specialized high-resolution 3D CMR sequences allow detailed aortic assessment, they are time-consuming which limits their use in screening rout...
Anisotropy Observer Variation Aorta Aortic Aneurysm Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted Reproducibility of Results Aged Male Algorithms Female Humans Machine Learning
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