[HTML][HTML] Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques–pulse sequences, analysis algorithms, and applications

ESH Ibrahim - Journal of Cardiovascular Magnetic Resonance, 2011‏ - Elsevier
Cardiovascular magnetic resonance (CMR) tagging has been established as an essential
technique for measuring regional myocardial function. It allows quantification of local …

Cardiac motion and deformation recovery from MRI: a review

H Wang, AA Amini - IEEE transactions on medical imaging, 2011‏ - ieeexplore.ieee.org
Magnetic resonance imaging (MRI) is a highly advanced and sophisticated imaging
modality for cardiac motion tracking and analysis, capable of providing 3D analysis of global …

Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation

X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li - Medical image analysis, 2016‏ - Elsevier
Direct estimation of cardiac ventricular volumes has become increasingly popular and
important in cardiac function analysis due to its effectiveness and efficiency by avoiding an …

Hyperspectral region classification using a three-dimensional Gabor filterbank

TC Bau, S Sarkar, G Healey - IEEE Transactions on Geoscience …, 2010‏ - ieeexplore.ieee.org
A 3-D spectral/spatial discrete Fourier transform can be used to represent a hyperspectral
image region using a dense sampling in the frequency domain. In many cases, a more …

Prostate cancer characterization on MR images using fractal features

R Lopes, A Ayache, N Makni, P Puech… - Medical …, 2011‏ - Wiley Online Library
Purpose: Computerized detection of prostate cancer on T2‐weighted MR images. Methods:
The authors combined fractal and multifractal features to perform textural analysis of the …

Magnetic resonance imaging of myocardial strain: a review of current approaches

T Chitiboi, L Axel - Journal of Magnetic Resonance Imaging, 2017‏ - Wiley Online Library
Contraction of the heart is central to its purpose of pum** blood around the body. While
simple global function measures (such as the ejection fraction) are most commonly used in …

Standardised convolutional filtering for radiomics

A Depeursinge, V Andrearczyk, P Whybra… - arxiv preprint arxiv …, 2020‏ - arxiv.org
The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of
radiomics studies by standardising the computational process of extracting image …

A facial expression recognition method based on ensemble of 3D convolutional neural networks

W Sun, H Zhao, Z ** - Neural Computing and Applications, 2019‏ - Springer
In this paper, a general framework for 3D convolutional neural networks is proposed. In this
framework, five kinds of layers including convolutional layer, max-pooling layer, dropout …

Fusion of 3D feature extraction techniques to enhance classification of spinocerebellar ataxia type 12

S Agrawal, RK Agrawal, SS Kumaran… - International Journal of …, 2024‏ - Springer
Abstract Spinocerebellar ataxia type 12 (SCA12) is a neurogenetic disease, marked with
prominent action tremors in the upper limbs. Neuroimaging techniques like magnetic …

[کتاب][B] Biomedical signals, imaging, and informatics

JD Bronzino, DR Peterson - 2015‏ - api.taylorfrancis.com
During the past eight years since the publication of the third edition—a three-volume set—of
The Biomedical Engineering Handbook, the eld of biomedical engineering has continued to …