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20202025
most citedFully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter

31 citations · 39 across the 7 of their papers we have counts for

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6 papers · 1 filter

eess.IV2025

Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter

Thanuja Uruththirakodeeswaran, Harald Becher, Michelle Noga +4

The perfect alignment of 3D echocardiographic images captured from various angles has improved image quality and broadened the field of view. This study proposes an accelerated seq…

eess.IV2022★ 3 cited

Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field

Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga +2

This study proposes an end-to-end unsupervised diffeomorphic deformable registration framework based on moving mesh parameterization. Using this parameterization, a deformation fie…

eess.IV2022★ 3 cited

A training-free recursive multiresolution framework for diffeomorphic deformable image registration

Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar +1

Diffeomorphic deformable image registration is one of the crucial tasks in medical image analysis, which aims to find a unique transformation while preserving the topology and inve…

eess.IV2021★ 1 cited

A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

Deepa Krishnaswamy, Abhilash R. Hareendranathan, Tan Suwatanaviroj +4

Purpose: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function. However, delineation of the left ventricle is…

eess.IV2020

Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences

Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar

Myocardial characterization is essential for patients with myocardial infarction and other myocardial diseases, and the assessment is often performed using cardiac magnetic resonan…

eess.IV2020★ 1 cited

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future

Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan +3

Thyroid cancer is common worldwide, with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical exa…