477 citations · 977 across the 18 of their papers we have counts for
6 papers · 1 filter
Label-driven weakly-supervised learning for multimodal deformable image registration
Yipeng Hu, Marc Modat, Eli Gibson +7
Spatially aligning medical images from different modalities remains a challenging task, especially for intraoperative applications that require fast and robust algorithms. We propo…
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks
Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho +2
Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing…
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
Yipeng Hu, Eli Gibson, Tom Vercauteren +5
In this paper, we describe how a patient-specific, ultrasound-probe-induced prostate motion model can be directly generated from a single preoperative MR image. Our motion model al…
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
Yipeng Hu, Eli Gibson, Li-Lin Lee +4
Sonography synthesis has a wide range of applications, including medical procedure simulation, clinical training and multimodality image registration. In this paper, we propose a m…
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
Weilin Huang, Christopher P. Bridge, J. Alison Noble +1
We present an automatic method to describe clinically useful information about scanning, and to guide image interpretation in ultrasound (US) videos of the fetal heart. Our method…
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
Davis M. Vigneault, Weidi Xie, David A. Bluemke +1
Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free prece…