ResearchTrend.AI
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning

H. Xue
R. Davies
L. Brown
K. Knott
T. Kotecha
Marianna Fontana
S. Plein
James C. Moon
Peter Kellman
ArXivPDFHTML

Papers citing "Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning"

5 / 5 papers shown
Title
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
H. Xue
Ethan Tseng
K. Knott
T. Kotecha
L. Brown
S. Plein
Marianna Fontana
James C. Moon
Peter Kellman
13
44
0
16 Oct 2019
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
H. P. Do
Yi Guo
A. Yoon
K. Nayak
30
22
0
10 Dec 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
65
1,346
0
10 Feb 2018
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
55
2,116
0
29 Nov 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
428
10,281
0
16 Nov 2016