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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% |