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Chapter title |
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion
|
---|---|
Chapter number | 20 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published in |
Lecture notes in computer science, September 2014
|
DOI | 10.1007/978-3-319-10404-1_20 |
Pubmed ID | |
Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
Authors |
Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen |
Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 14% |
Researcher | 4 | 14% |
Student > Ph. D. Student | 3 | 11% |
Professor | 2 | 7% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 14% |
Engineering | 3 | 11% |
Medicine and Dentistry | 3 | 11% |
Nursing and Health Professions | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 1 | 4% |
Unknown | 15 | 54% |