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Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning

; ; ; ; ;

In
Computers in biology and medicine 173, Seiten/Artikel-Nr.:108383

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang1-17

ISSN0010-4825

Online
DOI: 10.1016/j.compbiomed.2024.108383

DOI: 10.18154/RWTH-2024-04406
URL: https://publications.rwth-aachen.de/record/985047/files/985047.pdf

Einrichtungen

  1. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)
  2. JARA-CSD (Center for Simulation and Data Science) (080031)
  3. Klinik und Lehrstuhl für Hals-, Nasen- und Ohrenheilkunde (932010)


Thematische Einordnung (Klassifikation)
DDC: 570

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85189164351

Interne Identnummern
RWTH-2024-04406
Datensatz-ID: 985047

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
Faculty of Medicine (Fac.10)
Central and Other Institutions
538000\-2
Public records
Publications database
080031
415110
 Record created 2024-04-23, last modified 2026-01-27
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