activity
20172021
most citedAccuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

23 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2021

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

Yirong Zhou, Chen Qian, Yi Guo +6

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI). Cloud computing technologies have great advantages i…

physics.med-ph2021★ 2 cited

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures

Di Guo, Zhangren Tu, Yi Guo +13

Nuclear Magnetic Resonance (NMR) spectroscopy is an important bio-engineering tool to determine the metabolic concentrations, molecule structures and so on. The data acquisition ti…

physics.med-ph2020

Conceptual Design and Preliminary Results of a VR-based Radiation Safety Training System for Interventional Radiologists

Yi Guo, Li Mao, Gongsen Zhang +3

Recent studies have reported an increased risk of developing brain and neck tumors, as well as cataracts, in practitioners in interventional radiology (IR). Occupational radiation…

cs.CV2018★ 23 cited

Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

Hung P. Do, Yi Guo, Andrew J. Yoon +1

PURPOSE: To apply deep CNN to the segmentation task in myocardial arterial spin labeled (ASL) perfusion imaging and to develop methods that measure uncertainty and that adapt the C…

physics.med-ph2017★ 16 cited

Tracer Kinetic Models as Temporal Constraints during DCE-MRI reconstruction

Sajan Goud Lingala, Yi Guo, R. Marc Lebel +4

Purpose: To apply tracer kinetic models as temporal constraints during reconstruction of under-sampled dynamic contrast enhanced (DCE) MRI. Methods: A library of concentration v.s…