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X Demographics
Mendeley readers
Chapter title |
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)
|
---|---|
Chapter number | 46 |
Book title |
Machine Learning in Medical Imaging
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00919-9_46 |
Pubmed ID | |
Book ISBNs |
978-3-03-000918-2, 978-3-03-000919-9
|
Authors |
Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen, Fang, Zhenghan, Chen, Yong, Liu, Mingxia, Zhan, Yiqiang, Lin, Weili, Shen, Dinggang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 12% |
Student > Ph. D. Student | 2 | 12% |
Student > Bachelor | 2 | 12% |
Student > Master | 2 | 12% |
Lecturer | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 18% |
Computer Science | 2 | 12% |
Agricultural and Biological Sciences | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 10 | 59% |