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treatment outcome prediction from modeling the clinical target distribution for high-grade gliomas
Stockholm Univ, Dept Phys, Stockholm, Sweden.;Karolinska Inst, Dept Pathol & Oncol, Stockholm, Sweden..
Stockholm Univ, Dept Phys, Stockholm, Sweden.;Karolinska Inst, Dept Pathol & Oncol, Stockholm, Sweden..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging. Karolinska Inst, Dept Pathol & Oncol, Stockholm, Sweden..ORCID iD: 0000-0001-5125-4682
Stockholm Univ, Dept Phys, Stockholm, Sweden.;Karolinska Inst, Dept Pathol & Oncol, Stockholm, Sweden..
2023 (English)In: Radiotherapy and Oncology, ISSN 0167-8140, E-ISSN 1879-0887, Vol. 182, p. S653-S654Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
ELSEVIER IRELAND LTD , 2023. Vol. 182, p. S653-S654
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-340882ISI: 001043659001270OAI: oai:DiVA.org:kth-340882DiVA, id: diva2:1819837
Conference
Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO), MAY 12-16, 2023, Vienna, AUSTRIA
Note

QC 20231215

Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2023-12-15Bibliographically approved

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Astaraki, Mehdi

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