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Mendeley readers
Chapter title |
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification
|
---|---|
Chapter number | 61 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-43895-0_61 |
Book ISBNs |
978-3-03-143894-3, 978-3-03-143895-0
|
Authors |
Li, Thomas Z., Still, John M., Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y., Krishnan, Aravind R., Gao, Riqiang, Khan, Mirza S., Antic, Sanja, Kammer, Michael, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., Lasko, Thomas A. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 14% |
Lecturer | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Student > Bachelor | 1 | 7% |
Researcher | 1 | 7% |
Other | 0 | 0% |
Unknown | 8 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 14% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Computer Science | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Unknown | 9 | 64% |