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Mendeley readers
Chapter title |
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI
|
---|---|
Chapter number | 84 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32248-9_84 |
Book ISBNs |
978-3-03-032247-2, 978-3-03-032248-9
|
Authors |
Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium, Kam, Tae-Eui, Wen, Xuyun, Jin, Bing, Jiao, Zhicheng, Hsu, Li-Ming, Zhou, Zhen, Liu, Yujie, Yamashita, Koji, Hung, Sheng-Che, Lin, Weili, Zhang, Han, Shen, Dinggang |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 25% |
Student > Doctoral Student | 2 | 10% |
Other | 1 | 5% |
Student > Bachelor | 1 | 5% |
Professor | 1 | 5% |
Other | 3 | 15% |
Unknown | 7 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 25% |
Engineering | 2 | 10% |
Mathematics | 1 | 5% |
Neuroscience | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 50% |