Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594]
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Format: | Article |
Language: | English |
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Elsevier
2025-01-01
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Series: | Physics and Imaging in Radiation Oncology |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631625000235 |
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author | Andreas Renner Ingo Gulyas Martin Buschmann Gerd Heilemann Barbara Knäusl Martin Heilmann Joachim Widder Dietmar Georg Petra Trnková |
author_facet | Andreas Renner Ingo Gulyas Martin Buschmann Gerd Heilemann Barbara Knäusl Martin Heilmann Joachim Widder Dietmar Georg Petra Trnková |
author_sort | Andreas Renner |
collection | DOAJ |
format | Article |
id | doaj-art-60d0b84669c24b858b0bef641d6277a7 |
institution | Kabale University |
issn | 2405-6316 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Physics and Imaging in Radiation Oncology |
spelling | doaj-art-60d0b84669c24b858b0bef641d6277a72025-02-03T04:16:47ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162025-01-0133100718Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594]Andreas Renner0Ingo Gulyas1Martin Buschmann2Gerd Heilemann3Barbara Knäusl4Martin Heilmann5Joachim Widder6Dietmar Georg7Petra Trnková8Department of Radiation Oncology Medical University of Vienna Vienna Austria; Christian Doppler Laboratory for Image and Knowledge Driven Precision Radiation Oncology Department of Radiation Oncology Medical University of Vienna AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna Austria; MedAustron Ion Therapy Center Wiener Neustadt AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna Austria; Christian Doppler Laboratory for Image and Knowledge Driven Precision Radiation Oncology Department of Radiation Oncology Medical University of Vienna AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna Austria; Christian Doppler Laboratory for Image and Knowledge Driven Precision Radiation Oncology Department of Radiation Oncology Medical University of Vienna Austria; MedAustron Ion Therapy Center Wiener Neustadt AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna Austria; Christian Doppler Laboratory for Image and Knowledge Driven Precision Radiation Oncology Department of Radiation Oncology Medical University of Vienna Austria; MedAustron Ion Therapy Center Wiener Neustadt AustriaDepartment of Radiation Oncology Medical University of Vienna Vienna Austria; Corresponding author at: Medical University of Vienna, Spitalgasse 23, 1090 Wien, Austria.http://www.sciencedirect.com/science/article/pii/S2405631625000235 |
spellingShingle | Andreas Renner Ingo Gulyas Martin Buschmann Gerd Heilemann Barbara Knäusl Martin Heilmann Joachim Widder Dietmar Georg Petra Trnková Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] Physics and Imaging in Radiation Oncology |
title | Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] |
title_full | Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] |
title_fullStr | Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] |
title_full_unstemmed | Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] |
title_short | Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys. Imaging Radiat. Oncol. 30 (2024) 100594] |
title_sort | corrigendum to explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data phys imaging radiat oncol 30 2024 100594 |
url | http://www.sciencedirect.com/science/article/pii/S2405631625000235 |
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