Opening book details…
Can I read Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI on EtoBox?
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI by Fergus Shone; Nishant Ravikumar; Toni Lassila; Michael MacRaild; Yongxing Wang; Zeike A. Taylor; Peter Jimack; Erica Dall’Armellina; Alejandro F. Frangi is a computer science book available to read on EtoBox.
What is Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI about?
This book constitutes the proceedings of the 28th International Conference on Information Processing in Medical Imaging, IPMI 2023, which took place in San Carlos de Bariloche, Argentina, in June 2023. The 63 full papers presented in this volume were carefully reviewed and selected from 169 submissions. They were organized in topical sections as follows: biomarkers; brain connectomics; computer-aided diagnosis/surgery; domain adaptation; geometric deep learning; groupwise atlasing; harmonization
Who reads Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Fergus Shone; Nishant Ravikumar; Toni Lassila; Michael MacRaild; Yongxing Wang; Zeike A. Taylor; Peter Jimack; Erica Dall’Armellina; Alejandro F. Frangi
- Publisher
- Springer International Publishing
- Published
- 2023
- Language
- EN
- ISBN
- 9783031340475
- Category
- computer science
- Subjects
- Mathematics, Engineering, Business
- Updated
- 2026-03-25
More by Fergus Shone; Nishant Ravikumar; Toni Lassila; Michael MacRaild; Yongxing Wang; Zeike A. Taylor; Peter Jimack; Erica Dall’Armellina; Alejandro F. Frangi
Similar books
- 4D Cardiac Reconstruction Using High Resolution CT Images — Mingchen Gao; Junzhou Huang; Shaoting Zhang; Zhen Qian; Szilard Voros; Dimitris Metaxas; Leon Axel (2011)
- Structural Reparameterization Network on Point Cloud Semantic Segmentation — ZhiJian Li; Kebin Jia; YuXuan Zhao; WeiWei Huang (2023)
- Quantification of Cardiac Blood Flow — doppler technique
- Facial Expression Recognition from Occluded Images Using Deep Convolution Neural Network with Vision Transformer — Mingxiu Li; Shanshan Tu; Sadaqat ur Rehman (2023)
- Learning Posterior Distributions in Underdetermined Inverse Problems — Christina Runkel; Michael Moeller; Carola-Bibiane Schönlieb; Christian Etmann (2023)
- Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network — Jin Yamanaka; Shigesumi Kuwashima; Takio Kurita (2017)