Recent advances on machine learning for computational fluid dynamics: A survey
This paper explores the recent advancements in enhancing Computational Fluid Dynamics
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …
[HTML][HTML] Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI
MPT Kaandorp, F Zijlstra, D Karimi, A Gholipour… - Medical Image …, 2024 - Elsevier
In medical image analysis, the utilization of biophysical models for signal analysis offers
valuable insights into the underlying tissue types and microstructural processes. In diffusion …
valuable insights into the underlying tissue types and microstructural processes. In diffusion …
[HTML][HTML] The dependence of cerebral interstitial fluid on diffusion-sensitizing directions: A multi-b-value diffusion MRI study in a memory clinic sample
MM van der Thiel, N van der Knaap, WM Freeze… - Magnetic Resonance …, 2023 - Elsevier
Three-component intravoxel incoherent motion (3C-IVIM) imaging with spectral analysis
provides a proxy for interstitial fluid (ISF)(eg, in perivascular spaces (PVS), granting a …
provides a proxy for interstitial fluid (ISF)(eg, in perivascular spaces (PVS), granting a …
The neurovascular unit and its correlation with cognitive performance in patients with cerebral small vessel disease: a canonical correlation analysis approach
M van Dinther, PHM Voorter, E Zhang, SMJ van Kuijk… - GeroScience, 2024 - Springer
Growing evidence indicates an important role of neurovascular unit (NVU) dysfunction in the
pathophysiology of cerebral small vessel disease (cSVD). Individually measurable functions …
pathophysiology of cerebral small vessel disease (cSVD). Individually measurable functions …
Diffusion‐derived intravoxel‐incoherent motion anisotropy relates to CSF and blood flow
PHM Voorter, JFA Jansen… - Magnetic …, 2024 - Wiley Online Library
Purpose This study investigates the feasibility of multi‐b‐value, multi‐directional diffusion
MRI for assessing the anisotropy of the cerebral pseudo‐diffusion (D*)‐tensor. We examine …
MRI for assessing the anisotropy of the cerebral pseudo‐diffusion (D*)‐tensor. We examine …
Calculation of intravoxel incoherent motion parameter maps using a kernelized total difference‐based method
HM Huang - NMR in Biomedicine, 2024 - Wiley Online Library
Quantitative analysis of diffusion‐weighted magnetic resonance imaging (DW‐MRI) has
been explored for many clinical applications since its development. In particular, the …
been explored for many clinical applications since its development. In particular, the …
Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation
MPT Kaandorp - 2024 - ntnuopen.ntnu.no
Cancer is a prominent cause of premature mortality worldwide and often preventable
through early detection. Magnetic resonance imaging (MRI) is a vital modality in the …
through early detection. Magnetic resonance imaging (MRI) is a vital modality in the …
Deep Learning-Based Intravoxel Incoherent Motion Modelling of Diffusion-Weighted MRI in Head and Neck Cancer: In Silico and In Vivo Studies
AT Hop - 2024 - ntnuopen.ntnu.no
Bakgrunn: Modellering av intravoksel inkoherente bevegelser (IVIM) i diffusjonsvektet
avbildning (DWI), som er en type funksjonell magnetisk resonanstomografi (MRI), gir …
avbildning (DWI), som er en type funksjonell magnetisk resonanstomografi (MRI), gir …