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Per-Ivar Lønne

Showing results (1-10 of 6) with videos related to

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Physics and Imaging in Radiation Oncology|April 20, 2026
Geometry-based framework for beam angle selection in proton therapy for lung cancerKyriakos Fotiou, Per-Ivar Lønne, Eirik Malinen
Acta Oncologica (Stockholm, Sweden)|June 29, 2021
Repeatability of hypoxia dose painting by numbers based on EF5-PET in head and neck cancerPauliina Wright, Marius Røthe Arnesen, Per-Ivar Lønne, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|August 22, 2022
Artificial Intelligence in Radiation TherapyYabo Fu, Hao Zhang, Eric D Morris, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Nature Communications|March 15, 2026
An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancerStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Diagnostic and Prognostic Research|August 3, 2022
Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 studyStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Physics and Imaging in Radiation Oncology|April 20, 2026
Geometry-based framework for beam angle selection in proton therapy for lung cancerKyriakos Fotiou, Per-Ivar Lønne, Eirik Malinen
Acta Oncologica (Stockholm, Sweden)|June 29, 2021
Repeatability of hypoxia dose painting by numbers based on EF5-PET in head and neck cancerPauliina Wright, Marius Røthe Arnesen, Per-Ivar Lønne, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|August 22, 2022
Artificial Intelligence in Radiation TherapyYabo Fu, Hao Zhang, Eric D Morris, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Nature Communications|March 15, 2026
An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancerStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Diagnostic and Prognostic Research|August 3, 2022
Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 studyStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Pageof 1