3 citations · 5 across the 4 of their papers we have counts for
5 papers
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…
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…
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
Xiaoran Zhang, Michelle Noga, David Glynn Martin +1
This study proposes a fully automated approach for the left atrial segmentation from routine cine long-axis cardiac magnetic resonance image sequences using deep convolutional neur…
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…
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…