Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression

X Zhen, H Zhang, A Islam, M Bhaduri, I Chan, S Li - Medical image analysis, 2017 - Elsevier
Cardiac four-chamber volume estimation serves as a fundamental and crucial role in clinical
quantitative analysis of whole heart functions. It is a challenging task due to the huge …

Unsupervised myocardial segmentation for cardiac BOLD

I Oksuz, A Mukhopadhyay… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
A fully automated 2-D+ time myocardial segmentation framework is proposed for cardiac
magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia …

Dictionary-driven ischemia detection from cardiac phase-resolved myocardial BOLD MRI at rest

M Bevilacqua, R Dharmakumar… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Cardiac Phase-resolved Blood-Oxygen-Level Dependent (CP-BOLD) MRI provides a
unique opportunity to image an ongoing ischemia at rest. However, it requires post …

Unsupervised myocardial segmentation for cardiac MRI

A Mukhopadhyay, I Oksuz, M Bevilacqua… - … Image Computing and …, 2015 - Springer
Though unsupervised segmentation was a de-facto standard for cardiac MRI segmentation
early on, recently cardiac MRI segmentation literature has favored fully supervised …

Dictionary learning based image descriptor for myocardial registration of CP-BOLD MR

I Oksuz, A Mukhopadhyay, M Bevilacqua… - … Image Computing and …, 2015 - Springer
Abstract Cardiac Phase-resolved Blood Oxygen-Level-Dependent (CP-BOLD) MRI is a new
contrast agent-and stress-free imaging technique for the assessment of myocardial ischemia …

Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative: Data from the Osteoarthritis Initiative

A Mukhopadhyay, OSM Victoria, S Zachow… - … -Based Techniques in …, 2016 - Springer
Deformable model-based approaches to 3D image segmentation have been shown to be
highly successful. Such methodology requires an appearance model that drives the …

Joint myocardial registration and segmentation of cardiac BOLD MRI

I Oksuz, R Dharmakumar, SA Tsaftaris - … Models of the Heart. ACDC and …, 2018 - Springer
Registration and segmentation of anatomical structures are two well studied problems in
medical imaging. Optimizing segmentation and registration jointly has been proven to …

Data-driven feature learning for myocardial registration and segmentation

I Oksuz, A Mukhopadhyay, R Dharmakumar… - Diabetes and …, 2021 - Elsevier
This chapter discusses novel techniques for the tasks of segmentation and registration
separately and jointly. In particular, the feature learning is tested on cardiac phase-resolved …