output
20172024
most citedA survey, review, and future trends of skin lesion segmentation and classification

149 citations

Showing 2018 · cs.CVShow all

6 papers · 2 filters

cs.CV2018★ 4 cited

Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models

Nathan J Olliverre, Guang Yang, Gregory Slabaugh +2

Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical ima…

cs.CV2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Maximilian Seitzer, Guang Yang, Jo Schlemper +9

Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE)…

cs.CV2018★ 50 cited

Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model

Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde +3

Myocardial contrast echocardiography (MCE) is an imaging technique that assesses left ventricle function and myocardial perfusion for the detection of coronary artery diseases. Aut…

cs.CV2018★ 8 cited

Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model

Yuanwei Li, Chin Pang Ho, Navtej Chahal +2

Myocardial Contrast Echocardiography (MCE) with micro-bubble contrast agent enables myocardial perfusion quantification which is invaluable for the early detection of coronary arte…

cs.CV2018★ 4 cited

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation

Jun Chen, Guang Yang, Zhifan Gao +9

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients,…

cs.CV2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI

Jo Schlemper, Guang Yang, Pedro Ferreira +9

Understanding the structure of the heart at the microscopic scale of cardiomyocytes and their aggregates provides new insights into the mechanisms of heart disease and enables the…