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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Overview of attention for book
Attention for Chapter 4: Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
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1 patent

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34 Mendeley
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Chapter title
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
Chapter number 4
Book title
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-33850-3_4
Book ISBNs
978-3-03-033849-7, 978-3-03-033850-3
Authors

Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevsky, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Cheskova, Igor Pronin, Michael Shifrin, Mikhail Belyaev, Pisov, Maxim, Goncharov, Mikhail, Kurochkina, Nadezhda, Morozov, Sergey, Gombolevskiy, Victor, Chernina, Valeria, Vladzymyrskyy, Anton, Zamyatina, Ksenia, Chesnokova, Anna, Pronin, Igor, Shifrin, Michael, Belyaev, Mikhail

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 7 21%
Student > Master 4 12%
Lecturer 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 17 50%
Engineering 5 15%
Medicine and Dentistry 3 9%
Design 1 3%
Unknown 8 24%