4 citations · 7 across the 4 of their papers we have counts for
4 papers
Calibrationless Reconstruction of Uniformly-Undersampled Multi-Channel MR Data with Deep Learning Estimated ESPIRiT Maps
Junhao Zhang, Zheyuan Yi, Yujiao Zhao +8
Purpose: To develop a truly calibrationless reconstruction method that derives ESPIRiT maps from uniformly-undersampled multi-channel MR data by deep learning. Methods: ESPIRiT, on…
Robust Electromagnetic Interference (EMI) Elimination via Simultaneous Sensing and Deep Learning Prediction for RF Shielding-free MRI
Yujiao Zhao, Linfang Xiao, Vick Lau +3
At present, MRI scans are performed inside a fully-enclosed RF shielding room, posing stringent installation requirement and unnecessary patient discomfort. We aim to develop an el…
Prostate Segmentation using 2D Bridged U-net
Wanli Chen, Yue Zhang, Junjun He +4
In this paper, we focus on three problems in deep learning based medical image segmentation. Firstly, U-net, as a popular model for medical image segmentation, is difficult to trai…
MRF-ZOOM: A Fast Dictionary Searching Algorithm for Magnetic Resonance Fingerprinting
Ze Wang
Magnetic resonance fingerprinting (MRF) is a new technique for simultaneously quantifying multiple MR parameters using one temporally resolved MR scan. But its brute-force dictiona…