English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging

De Back, W., Seurig, S., Wagner, S., Marre, B., Roeder, I., & Scherf, N. (2019). Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging. In Proceedings of the 2019 International Conference on Medical Imaging with Deep Learning (MIDL).

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0004-C779-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-C77A-3
Genre: Conference Paper

Files

show Files
hide Files
:
30a08d7e07a5c0a24c2502e905a48ad400aa2507.pdf (Publisher version), 2MB
Name:
pdf?id=SkesoBY49E
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
De Back , Walter1, Author
Seurig, Sebastian1, Author
Wagner, Sebastian1, Author
Marre, Birgit2, Author
Roeder, Ingo1, Author
Scherf, Nico3, Author              
Affiliations:
1Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, ou_persistent22              
2Department of Prosthetic Dentistry, University Hospital Carl Gustav Carus, TU Dresden, ou_persistent22              
3Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

Content

show

Details

show
hide
Language(s):
 Dates: 2019-05-062019-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of the 2019 International Conference on Medical Imaging with Deep Learning (MIDL)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -