1 citations · 4 across the 11 of their papers we have counts for
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Multicentre Bi-atrial Segmentation from LGE-MRI for Atrial Fibrillation with a 2D and 3D Framework
Malitha Gunawardhana, Gregory B. Sands, Mark L. Trew +1
Accurate delineation of bi-atrial structures from late gadolinium enhancement MRI (LGE-MRI) is an important prerequisite for structural analysis and future fibrosis-quantification…
Segmenting Bi-Atrial Structures Using ResNext Based Framework
Malitha Gunawardhana, Mark L Trew, Gregory B Sands +1
Atrial Fibrillation (AF), the most common sustained cardiac arrhythmia worldwide, increasingly requires accurate bi-atrial structural assessment to guide ablation strategies, parti…
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
Malitha Gunawardhana, Fangqiang Xu, Jichao Zhao
Cardiac segmentation is a critical task in medical imaging, essential for detailed analysis of heart structures, which is crucial for diagnosing and treating various cardiovascular…
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
Fangqiang Xu, Wenxuan Tu, Fan Feng +4
Left atrial (LA) segmentation is a crucial technique for irregular heartbeat (i.e., atrial fibrillation) diagnosis. Most current methods for LA segmentation strictly assume that th…
Integrating Deep Learning in Cardiology: A Comprehensive Review of Atrial Fibrillation, Left Atrial Scar Segmentation, and the Frontiers of State-of-the-Art Techniques
Malitha Gunawardhana, Anuradha Kulathilaka, Jichao Zhao
Atrial fibrillation (AFib) is the prominent cardiac arrhythmia in the world. It affects mostly the elderly population, with potential consequences such as stroke and heart failure…
Performance of Machine Learning Classification in Sonomammogram Images using BI-RADS
Malitha Gunawardhana, Norbert Zolek
This research aims to investigate the classification accuracy of various state-of-the-art image classification models across different categories of breast ultrasound images, as de…