Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI

C Russo, S Liu, A Di Ieva - Medical & Biological Engineering & Computing, 2022 - Springer
Abstract Magnetic Resonance Imaging (MRI) is used in everyday clinical practice to assess
brain tumors. Deep Convolutional Neural Networks (DCNN) have recently shown very …

In silico testing of the universality of epithelial tissue growth

M Mazarei, J Åström, J Westerholm, M Karttunen - Physical Review E, 2022 - APS
The universality of interfacial roughness in growing epithelial tissue has remained a
controversial issue. Kardar-Parisi-Zhang (KPZ) and molecular beam epitaxy (MBE) …

Left atrial appendage thrombus is associated with a higher fractal dimension in patients with atrial fibrillation

M Jing, H Xi, J Li, Q Liu, H Zhu, Q Sun, Y Zhang, X Liu… - Clinical Imaging, 2024 - Elsevier
Purpose To assess the anatomical complexity of the left atrial appendage (LAA) using fractal
dimension (FD) based on cardiac computed tomography angiography (CTA) and the …

Correlation between left atrial appendage morphology based on fractal dimension quantification and its hemodynamic parameters in patients with atrial fibrillation

M Jing, H Xi, Q Liu, H Zhu, Q Sun, Y Zhang, X Liu… - Clinical Radiology, 2024 - Elsevier
Aims To investigate the relationship between left atrial appendage (LAA) morphology,
quantified based on fractal dimension (FD), and LAA hemodynamic parameters in patients …

Modelling Cell Population Growth

M Mazarei - 2023 - search.proquest.com
The growth of biological matter, eg, tumor invasion, depends on various factors, including
the tissue's mechanical properties, implying elasticity, stiffness, or apparent viscosity. These …