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A review on lymphocyte radiosensitivity and its impact on radiotherapy

Frontiers in oncology, 2023-08, Vol.13, p.1201500-1201500

Paganetti, Harald

2023

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Proton Therapy Physics

Paganetti, Harald

2nd edition., 2018

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Nuclear physics in particle therapy: a review

Reports on progress in physics, 2016-09, Vol.79 (9), p.096702-096702

2016

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Dose to water versus dose to medium in proton beam therapy

Physics in medicine & biology, 2009-07, Vol.54 (14), p.4399-4421

Paganetti, Harald

2009

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The complexity of DNA damage by radiation follows a Gamma distribution: insights from the Microdosimetric Gamma Model

Frontiers in oncology, 2023-06, Vol.13, p.1196502-1196502

2023

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Physics Settings for Using the Geant4 Toolkit in Proton Therapy

IEEE transactions on nuclear science, 2008-06, Vol.55 (3), p.1018-1025

2008

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Relating the proton relative biological effectiveness to tumor control and normal tissue complication probabilities assuming interpatient variability in α/β

Acta oncologica, 2017-11, Vol.56 (11), p.1379-1386

Paganetti, Harald

2017

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Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions

Neoplasia (New York, N.Y.), 2023-05, Vol.39, p.100889-100889, Article 100889

2023

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National Effort to Re-Establish Heavy Ion Cancer Therapy in the United States

Frontiers in oncology, 2022-06, Vol.12, p.880712-880712

2022

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Optically stimulated luminescence dosimeters for simultaneous measurement of point dose and dose-weighted LET in an adaptive proton therapy workflow

Frontiers in oncology, 2024-01, Vol.13, p.1333039-1333039

2024

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Evaluating Intensity Modulated Proton Therapy relative to Passive Scattering Proton Therapy for Increased Vertebral Column Sparing in CSI in Growing Pediatric Patients

International journal of radiation oncology, biology, physics, 2017-02, Vol.98 (1), p.37-46

2017

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Detector Simulation Challenges for Future Accelerator Experiments

Frontiers in physics, 2022-06, Vol.10

2022

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PET imaging for treatment verification of ion therapy: Implementation and experience at GSI Darmstadt and MGH Boston

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2008-06, Vol.591 (1), p.282-286

2008

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Varying relative biological effectiveness in proton therapy: knowledge gaps versus clinical significance

Acta oncologica, 2017-06, Vol.56 (6), p.761-762

2017

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Proton Therapy Physics, Second Edition

Paganetti, Harald

2, 2019

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Mapping 15O Production Rate for Proton Therapy Verification

International journal of radiation oncology, biology, physics, 2015-06, Vol.92 (2), p.453-459

2015

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Proton Beams to Replace Photon Beams in Radical Dose Treatments

Acta oncologica, 2003-12, Vol.42 (8), p.800-808

2003

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Four-dimensional Blood Flow Model for Dose Calculation to Circulating Blood and Lymphocytes

Physics in medicine & biology, 2020-03, Vol.65 (5), p.055008-055008

2020

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Decoding Patient Heterogeneity Influencing Radiation-Induced Brain Necrosis

Clinical cancer research, 2024-09, p.OF1-OF10

2024

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HERMAN D. SUIT, MD, DPhil1929–2022A Giant of Modern Radiation Oncology

Radiation research, 2022-11, Vol.198 (5)

2022

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Can differences in linear energy transfer and thus relative biological effectiveness compromise the dosimetric advantage of intensity-modulated proton therapy as compared to passively scattered proton therapy?

Acta oncologica, 2018-09, Vol.57 (9), p.1259-1264

2018

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Pre- and post-treatment image-based dosimetry in 90 Y-microsphere radioembolization using the TOPAS Monte Carlo toolkit

Physics in medicine & biology, 2021-12, Vol.66 (24), p.244002

2021

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A denoising diffusion probabilistic model for metal artifact reduction in CT

IEEE transactions on medical imaging, 2024-07, Vol.PP, p.1-1

2024

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Erratum: Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy (2020 Phys. Med. Biol. 65 245022)

Physics in medicine & biology, 2021-06, Vol.66 (13), p.139501

2021

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The Use of Computational Patient Models to Assess the Risk of Developing Radiation-Induced Cancers From Radiation Therapy of the Primary Cancer: Effects of radiation therapy on unaffected parts of a patient's body are very difficult to measure, but they may be more accurately estimated by using computer modeling: Computational Anthropomorphic Anatomical Models

Proceedings of the IEEE, 2009, Vol.97 (12), p.1977-1987

PAGANETTI, Harald

2009

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