[HTML][HTML] Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning

K Linka, M Hillgärtner, KP Abdolazizi, RC Aydin… - Journal of …, 2021 - Elsevier
In this paper we introduce constitutive artificial neural networks (CANNs), a novel machine
learning architecture for data-driven modeling of the mechanical constitutive behavior of …

Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading

S Jerban, EY Chang, J Du - Magnetic resonance imaging, 2020 - Elsevier
Osteoarthritis (OA) is a very common disease that affects the human knee joint, particularly
the articular cartilage and meniscus components which are regularly under compressive …

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation

T Han, JN Kather, F Pedersoli… - Nature Machine …, 2022 - nature.com
Disease-modifying management aims to prevent deterioration and progression of the
disease, and not just to relieve symptoms. We present a solution for the management by a …

Ex vivo quantitative multiparametric MRI mapping of human meniscus degeneration

S Nebelung, M Tingart, T Pufe, C Kuhl, H Jahr… - Skeletal radiology, 2016 - Springer
Objectives To evaluate the diagnostic performance of T1, T1ρ, T2, T2*, and UTE-
T2*(ultrashort-echo time-enhanced T2*) mapping in the refined graduation of human …

[HTML][HTML] Comparison of MRI T1, T2, and T2* mapping with histology for assessment of intervertebral disc degeneration in an ovine model

N Bouhsina, C Decante, JB Hardel, D Rouleau… - Scientific Reports, 2022 - nature.com
An easy, reliable, and time-efficient standardized approach for assessing lumbar
intervertebral disc (IVD) degeneration with relaxation times measurements in pre-clinical …

Acute changes in knee cartilage transverse relaxation time after running and bicycling

AA Gatti, MD Noseworthy, PW Stratford… - Journal of …, 2017 - Elsevier
Purpose To compare the acute effect of running and bicycling of an equivalent cumulative
load on knee cartilage composition and morphometry in healthy young men. A secondary …

[HTML][HTML] Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition

K Linka, J Thüring, L Rieppo, RC Aydin… - Osteoarthritis and …, 2021 - Elsevier
Background Articular cartilage degeneration is the hallmark change of osteoarthritis, a
severely disabling disease with high prevalence and considerable socioeconomic and …

[HTML][HTML] Cartilage-on-cartilage contact: effect of compressive loading on tissue deformations and structural integrity of bovine articular cartilage

L Zevenbergen, W Gsell, L Cai, DD Chan… - Osteoarthritis and …, 2018 - Elsevier
Objective This study aims to characterize the deformations in articular cartilage under
compressive loading and link these to changes in the extracellular matrix constituents …

T2 MR imaging vs. computational modeling of human articular cartilage tissue functionality

K Linka, M Itskov, D Truhn, S Nebelung… - Journal of the mechanical …, 2017 - Elsevier
The detection of early stages of cartilage degeneration remains diagnostically challenging.
One promising non-invasive approach is to functionally assess the tissue response to …

Multiparametric MRI and computational modelling in the assessment of human articular cartilage properties: a comprehensive approach

J Thüring, K Linka, M Itskov, M Knobe… - BioMed research …, 2018 - Wiley Online Library
Quantitative magnetic resonance imaging (qMRI) is a promising approach to detect early
cartilage degeneration. However, there is no consensus on which cartilage component …