Scholarly Works - Conferences
Conference
Annu Int Conf IEEE Eng Med Biol Soc
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July 2020
Over the last decade, convolutional neural networks (CNNs) have emerged as the leading algorithms in image classification and segmentation. Recent publication of large medical imaging databases have accelerated their use in the biomedical arena. While trai ...
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9th IEEE International Symposium on Biomedical Imaging (ISBI)
Successful segmentation of the left ventricle in echocardiograms relies on strong edge responses to ensure that segmentation methods converge to the endocardial boundary. However, segmentation methods that do not interpret edge responses using local shape ...
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9th IEEE International Symposium on Biomedical Imaging (ISBI)
Segmentation of the left ventricular myocardium from 3D echocardiograms is complicated by speckle, artifact, and complex anatomy. Typical segmentation methods benefit from accurate initialization. We propose a two-step Hough transform to find an annular ap ...
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Fast segmentation of the left ventricular (LV) myocardium in 3D+time echocardiographic sequences can provide quantitative data of heart function that can aid in clinical diagnosis and disease assessment. We present an algorithm for automatic segmentation o ...
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35th Heart Rhythm Society
Introduction: Previous studies have demonstrated that the extent of left atrial (LA) myocardial native and ablation-induced scar is associated with post-ablation atrial fibrillation (AF) recurrence. However methodologies to distinguish native versus ablati ...
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Background: Familial Mediterrean fever (FMF) is a heritable autoinflammatory disease characterized by substantial neutrophil influx at sites of serosal and synovial involvement. Inflammatory attacks are usually prevented by prophylaxis with colchicine, a m ...
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