CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Filters
2 research outputs found
Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning
Author
Borzasi E
Capala ME
+34Â more
Cozzini C
Czabany R
Czipczer V
Cziria B
Czunyi E
Deak-Karancsi B
Egyud Z
Estkowsky L
Ferenczi L
Fronto A
Gaal S
Gyalai B
Hideghety K
Irmai BH
Karancsi Z
Kekesi A
Kelemen G
Keresnyei NG
Kolozsvari B
Koszo R
Maxwell R
McCallum H
Megyeri I
Mian M
Nagypal P
Paczona V
Pearson RA
Petit SF
Rusko L
Tan T
Tass BP
Vegvary Z
Wiesinger F
Wyatt J
Publication venue
Frontiers Media SA
Publication date
01/01/2023
Field of study
Get PDF
Newcastle University E-Prints