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Peer-reviewedCC BYJournal of imaging

A Central-Vein-Sign-Aware Deep-Learning Pipeline for Lesion Detection and Automated CVS Assessment on Brain SWIp: An Exploratory End-to-End Feasibility Study

  • Petar Mladenov1
  • Frauke Kellner-Weldon2
  • Christoph Johann Illi2
  • Mirko Birbaumer1
  1. 1Institute of Natural Sciences and Humanities, Lucerne School of Engineering and Architecture, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland;
  2. 2Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Neurocenter, Cantonal Hospital Lucerne, University Teaching and Research Hospital, University of Lucerne, 6000 Lucerne, Switzerland; (F.K.-W.); (C.J.I.)
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Cite

BibTeXRIS
BibTeX
@article{mladenov2026centralveinsignaware,
  title = {{A Central-Vein-Sign-Aware Deep-Learning Pipeline for Lesion Detection and Automated CVS Assessment on Brain SWIp: An Exploratory End-to-End Feasibility Study}},
  author = {Petar Mladenov and Frauke Kellner-Weldon and Christoph Johann Illi and Mirko Birbaumer},
  journal = {Journal of imaging},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13706250},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A Central-Vein-Sign-Aware Deep-Learning Pipeline for Lesion Detection and Automated CVS Assessment on Brain SWIp: An Exploratory End-to-End Feasibility Study
AU  - Petar Mladenov
AU  - Frauke Kellner-Weldon
AU  - Christoph Johann Illi
AU  - Mirko Birbaumer
PY  - 2026
DA  - 2026/09/28
JO  - Journal of imaging
UR  - https://europepmc.org/article/PMC/PMC13706250
SN  - 2313-433X
ER  -