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Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation by Ahmet Serkan Göktaş; Alaa Bessadok; Islem Rekik is a computer science book available to read on EtoBox.
What is Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation about?
This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical
Who reads Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Ahmet Serkan Göktaş; Alaa Bessadok; Islem Rekik
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030593537
- Category
- computer science
- Subjects
- Business, Medical, Mathematics
- Updated
- 2026-03-25
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