O. Razeghi

发表

Building Skin Condition Recogniser using Crowd-sourced High Level Knowledge

Guoping Qiu, Hao Fu, Orod Razeghi, 2013 .

Comprehensive use of cardiac computed tomography to guide left ventricular lead placement in cardiac resynchronization therapy

E. McVeigh, R. Rajani, C. Rinaldi, 2017, Heart rhythm.

Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration

Steven E. Williams, K. Rhode, M. O'Neill, 2019, Journal of Cardiovascular Magnetic Resonance.

In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial Fibrillation

Steven E. Williams, G. Plank, M. O'Neill, 2020, Frontiers in Physiology.

Tracking the motion of intracardiac structures aids the development of future leadless pacing systems

R. Rajani, C. Rinaldi, O. Razeghi, 2020, Journal of cardiovascular electrophysiology.

Automated quantification of mitral valve geometry on multi-slice computed tomography in patients with dilated cardiomyopathy - Implications for transcatheter mitral valve replacement.

B. Prendergast, R. Rajani, O. Razeghi, 2018, Journal of cardiovascular computed tomography.

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

Paul J. Wang, S. Narayan, O. Razeghi, 2022, Circulation. Arrhythmia and electrophysiology.

Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network

Steven E. Williams, M. O'Neill, M. Wright, 2020, Circulation. Cardiovascular imaging.

Reproducibility of Atrial Fibrosis Assessment Using CMR Imaging and an Open Source Platform.

Steven E. Williams, R. Razavi, M. O'Neill, 2019, JACC. Cardiovascular imaging.

CArdiac MagnEtic resonance assessment of bi-Atrial fibrosis in secundum atrial septal defects patients: CAMERA-ASD study

Steven E. Williams, M. Wright, O. Razeghi, 2021, European heart journal. Cardiovascular Imaging.

Standardised computed tomographic assessment of left atrial morphology and tissue thickness in humans☆

Steven E. Williams, R. Rajani, R. Razavi, 2020, International journal of cardiology. Heart & vasculature.

Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation

Hubert Cochet, John Whitaker, Iain Sim, 2018, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Feasibility of intraprocedural integration of cardiac CT to guide left ventricular lead implantation for CRT upgrades

Mark K. Elliott, R. Rajani, C. Rinaldi, 2021, Journal of cardiovascular electrophysiology.

Model Reproducibility Study on Left Atrial Fibres

Steven E. Williams, O. Razeghi, S. Niederer, 2023, ArXiv.

An investigation of a human in the loop approach to object recognition

Orod Razeghi, O. Razeghi, 2015 .

A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations

Gernot Plank, Aurel Neic, Steven A Niederer, 2020, PloS one.

A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data

Gernot Plank, Steven Niederer, C. Aldo Rinaldi, 2019, Medical Image Anal..

CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research

Cesare Corrado, Adelaide de Vecchi, Caroline H Roney, 2020, SoftwareX.

Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models pdf

Gernot Plank, Gundolf Haase, Marina Strocchi, 2021, IEEE Transactions on Biomedical Engineering.

Right atrial function and fibrosis in relation to successful atrial fibrillation ablation

M. Götte, O. Razeghi, P. Bhagirath, 2022, European heart journal. Cardiovascular Imaging.

Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy

Mark K. Elliott, G. Plank, C. Rinaldi, 2021, Comput. Biol. Medicine.

Emerging role of cardiac computed tomography in heart failure

R. Rajani, C. Rinaldi, R. Razavi, 2019, ESC Heart Failure.

A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction

Steven Niederer, Edward J. Vigmond, John Whitaker, 2019, Comput. Biol. Medicine.

Computer Aided Skin Lesion Diagnosis with Humans in the Loop

Guoping Qiu, Orod Razeghi, Hywel Williams, 2012, MLMI.

Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium

Gernot Plank, Caroline H. Roney, Edward J. Vigmond, 2020, Journal of biomechanics.

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

Paul J. Wang, D. Rubin, S. Narayan, 2023, Journal of cardiovascular electrophysiology.

The Effect of Ventricular Myofibre Orientation on Atrial Dynamics

Gernot Plank, Steven Niederer, Caroline H. Roney, 2021, FIMH.

Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models

Steven E. Williams, S. Narayan, O. Razeghi, 2022, Circulation. Arrhythmia and electrophysiology.

Hyperparameter optimisation and validation of registration algorithms for measuring regional ventricular deformation using retrospective gated computed tomography images

M. Heinrich, R. Rajani, C. Rinaldi, 2021, Scientific Reports.

Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study

Steven E. Williams, O. Razeghi, S. Niederer, 2023, Comput. Biol. Medicine.

Constructing Virtual Patient Cohorts for Simulating Atrial Fibrillation Ablation

Steven E. Williams, G. Plank, M. O'Neill, 2020, 2020 Computing in Cardiology.

Pulmonary vein encirclement using an Ablation Index-guided point-by-point workflow: cardiovascular magnetic resonance assessment of left atrial scar formation

T. Ismail, J. Harrison, M. O'Neill, 2019, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

B-PO03-096 DIELECTRIC IMAGING ACCURATELY MEASURES REGIONAL CARDIAC CHAMBER WALL THICKNESS - AN IN VIVO STUDY

Steven E. Williams, J. Proudfoot, M. Wright, 2021, Heart Rhythm.

Optimization of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study

Tobias Schaeffter, Henry Chubb, John Whitaker, 2018, Journal of Cardiovascular Magnetic Resonance.

Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images

Kawal S. Rhode, Mitko Veta, Josien P. W. Pluim, 2018, STACOM@MICCAI.

Object Recognition with Human in the Loop Intelligent Frameworks pdf

Guoping Qiu, Orod Razeghi, G. Qiu, 2019, ArXiv.

Discriminative Dimension Reduction based on Mutual Information pdf

Guoping Qiu, Orod Razeghi, G. Qiu, 2019, ArXiv.

Skin Lesion Image Recognition with Computer Vision and Human in the Loop

Guoping Qiu, Orod Razeghi, Hywel C. Williams, 2012 .