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Mendeley readers
| Chapter title |
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
|
|---|---|
| Chapter number | 68 |
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
| Published by |
Springer, Cham, September 2020
|
| DOI | 10.1007/978-3-030-59716-0_68 |
| Book ISBNs |
978-3-03-059715-3, 978-3-03-059716-0
|
| Authors |
Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal F. O’Shea, Ronan Cahill, Zhuk, Sergiy, Epperlein, Jonathan P., Nair, Rahul, Tirupathi, Seshu, Mac Aonghusa, Pól, O’Shea, Donal F., Cahill, Ronan |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Researcher | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 40% |
| Social Sciences | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |