Skip to content
VuFind
Book Bag:
0
items
(Full)
Institutional Login
Language
English
Deutsch
All Fields
Title
Author
Subject
ISBN/ISSN
K10+-PPN
OCLC Number
Find
Advanced
Start
Deep learning-based synthetic...
Cite this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Export to RDF
Export to BibTeX
Export to RIS
Save to List
Permanent link
Deep learning-based synthetic CT images for adaptive radiotherapy
Show other versions (1)
Saved in:
Bibliographic Details
Main Author:
Stanić, Goran
(Author)
Format:
Book/Monograph
Thesis
Language:
English
Published:
Heidelberg
[2025?]
Subjects:
Hochschulschrift
Online Access:
Author Notes:
put forward by M.Sc. Goran Stanić ; referees: Prof. Dr. Oliver Jäkel, Prof. Dr. Mark Ladd
Description
Other Versions (1)
Staff View
Description
Description not available.
Similar Items
Deep learning-based synthetic CT images for adaptive radiotherapy
by: Stanić, Goran
Published: (2025)
Evaluation of an adaptive radiation therapy workflow for hypofractionated prostate cancer treatment based on synthetic cone-beam computed tomography
by: Eckl, Miriam
Published: (2022)
Evaluation of an adaptive radiation therapy workflow for hypofractionated prostate cancer treatment based on synthetic cone-beam computed tomography
by: Eckl, Miriam
Published: (2021)
Improving ion beam therapy treatment planning for metal implants by using dual-energy CT scanning
by: Tremmel, Christoph
Published: (2012)
Efficient deep learning at inference time for gram stained image classification
by: Kim, Hee Eun
Published: (2024)