1 citations · 4 across the 11 of their papers we have counts for
12 papers
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…
CrossVideoMAE: Self-Supervised Image-Video Representation Learning with Masked Autoencoders
Shihab Aaqil Ahamed, Malitha Gunawardhana, Liel David +3
Current video-based Masked Autoencoders (MAEs) primarily focus on learning effective spatiotemporal representations from a visual perspective, which may lead the model to prioritiz…
How Effective are Self-Supervised Models for Contact Identification in Videos
Malitha Gunawardhana, Limalka Sadith, Liel David +2
The exploration of video content via Self-Supervised Learning (SSL) models has unveiled a dynamic field of study, emphasizing both the complex challenges and unique opportunities i…
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…
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana +1
We approach the challenge of addressing semi-supervised domain generalization (SSDG). Specifically, our aim is to obtain a model that learns domain-generalizable features by levera…
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana +3
In this paper, we explore the capability of an agent to construct a logical sequence of action steps, thereby assembling a strategic procedural plan. This plan is crucial for navig…
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…
Multiclass Confidence and Localization Calibration for Object Detection
Bimsara Pathiraja, Malitha Gunawardhana, Muhammad Haris Khan
Albeit achieving high predictive accuracy across many challenging computer vision problems, recent studies suggest that deep neural networks (DNNs) tend to make overconfident predi…
Evaluation of Noise Reduction Methods for Sentence Recognition by Sinhala Speaking Listeners
Malitha Gunawardhana, Chathuki Navanjana, Dinithi Fernando +2
Noise reduction is a crucial aspect of hearing aids, which researchers have been striving to address over the years. However, most existing noise reduction algorithms have primaril…