118 citations · 195 across the 5 of their papers we have counts for
5 papers
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
Felix Lau, Tom Hendriks, Jesse Lieman-Sifry +3
Medical images with specific pathologies are scarce, but a large amount of data is usually required for a deep convolutional neural network (DCNN) to achieve good accuracy. We cons…
Computationally efficient cardiac views projection using 3D Convolutional Neural Networks
Matthieu Le, Jesse Lieman-Sifry, Felix Lau +3
4D Flow is an MRI sequence which allows acquisition of 3D images of the heart. The data is typically acquired volumetrically, so it must be reformatted to generate cardiac long axi…
FastVentricle: Cardiac Segmentation with ENet
Jesse Lieman-Sifry, Matthieu Le, Felix Lau +2
Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function. One disadvantage of CMR is that post-processing of exams is tedious. Without aut…
Radial Surface Density Profiles of Gas and Dust in the Debris Disk around 49 Ceti
A. M. Hughes, J. Lieman-Sifry, K. M. Flaherty +9
We present ~0.4 resolution images of CO(3-2) and associated continuum emission from the gas-bearing debris disk around the nearby A star 49 Ceti, observed with the Atacama Large Mi…
Debris Disks in the Scorpius-Centaurus OB Association Resolved by ALMA
Jesse Lieman-Sifry, A. Meredith Hughes, John M. Carpenter +3
We present a CO(2-1) and 1240 um continuum survey of 23 debris disks with spectral types B9-G1, observed at an angular resolution of 0.5-1 arcsec with the Atacama Large Millimeter/…