2 citations · 2 across the 6 of their papers we have counts for
6 papers
ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography
Kit M. Bransby, Esther Øksnebjerg, Kristoffer Kjær +7
Accurate segmentation of the coronary vessel lumen is a prerequisite for quantitative assessment of atherosclerotic plaque and perivascular adipose tissue in coronary computed tomo…
A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data
Xingwei He, Kit Mills Bransby, Ahmet Emir Ulutas +12
Aims: To develop a deep-learning (DL) framework that will allow fully automated longitudinal and circumferential co-registration of intravascular ultrasound (IVUS) and optical cohe…
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
Kit M. Bransby, Woo-jin Cho Kim, Jorge Oliveira +4
Building an echocardiography view classifier that maintains performance in real-life cases requires diverse multi-site data, and frequent updates with newly available data to mitig…
BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision
Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim +3
Neural networks can learn spurious correlations that lead to the correct prediction in a validation set, but generalise poorly because the predictions are right for the wrong reaso…
Joint Dense-Point Representation for Contour-Aware Graph Segmentation
Kit Mills Bransby, Greg Slabaugh, Christos Bourantas +1
We present a novel methodology that combines graph and dense segmentation techniques by jointly learning both point and pixel contour representations, thereby leveraging the benefi…
3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks
Kit Mills Bransby, Vincenzo Tufaro, Murat Cap +3
X-ray coronary angiography (XCA) is used to assess coronary artery disease and provides valuable information on lesion morphology and severity. However, XCA images are 2D and there…