Machine Learning in Clinical Neuroimaging
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
MRI Image Registration Considerably Improves CNN-Based Disease Classification
|
|---|---|
| Book title |
Machine Learning in Clinical Neuroimaging
|
| Published by |
Springer, Cham, September 2021
|
| DOI | 10.1007/978-3-030-87586-2_5 |
| Book ISBNs |
978-3-03-087585-5, 978-3-03-087586-2
|
| Authors |
Klingenberg, Malte, Stark, Didem, Eitel, Fabian, Ritter, Kerstin, for the Alzheimer’s Disease Neuroimaging Initiative |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Neuroscience | 1 | 17% |
| Unknown | 4 | 67% |