You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response
|
---|---|
Chapter number | 4 |
Book title |
Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00807-9_4 |
Book ISBNs |
978-3-03-000806-2, 978-3-03-000807-9
|
Authors |
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu, Riyahi, Sadegh, Choi, Wookjin, Liu, Chia-Ju, Nadeem, Saad, Tan, Shan, Zhong, Hualiang, Chen, Wengen, Wu, Abraham J., Mechalakos, James G., Deasy, Joseph O., Lu, Wei |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 27% |
Researcher | 3 | 27% |
Student > Ph. D. Student | 2 | 18% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 27% |
Business, Management and Accounting | 1 | 9% |
Psychology | 1 | 9% |
Computer Science | 1 | 9% |
Physics and Astronomy | 1 | 9% |
Other | 1 | 9% |
Unknown | 3 | 27% |