2 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object Segmentation
Xiaohua Jiang, Yihao Guo, Jian Huang +9
The precise spatial and quantitative delineation of indistinct-boundary medical objects is paramount for the accuracy of diagnostic protocols, efficacy of surgical interventions, a…
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…