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Pareto Dose Prediction Using Fully Convolutional Networks Operating in 3D
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.ORCID iD: 0000-0001-9210-121X
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-4266-6746
Raysearch Labs, Stockholm, Sweden..
2018 (English)In: Medical physics (Lancaster), ISSN 0094-2405, Vol. 45, no 6, p. E176-E176Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
WILEY , 2018. Vol. 45, no 6, p. E176-E176
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-232417DOI: 10.1002/mp.12938ISI: 000434978000213OAI: oai:DiVA.org:kth-232417DiVA, id: diva2:1235557
Conference
60th Annual Meeting of the American-Association-of-Physicists-in-Medicine, JUL 29-AUG 02, 2018, Nashville, TN
Note

QC 20180726

Available from: 2018-07-26 Created: 2018-07-26 Last updated: 2022-11-30Bibliographically approved

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Publisher's full texthttps://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.12938

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Nordström, MarcusHult, HenrikMaki, Atsuto

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