Kawula M - Search Results

1

ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients.

Schmitz H, Thummerer A, Kawula M, Lombardo E, Parodi K, Belka C, Kamp F, Kurz C, Landry G. Schmitz H, et al. Among authors: kawula m. Phys Imaging Radiat Oncol. 2023 Aug 18;27:100482. doi: 10.1016/j.phro.2023.100482. eCollection 2023 Jul. Phys Imaging Radiat Oncol. 2023. PMID: 37680905 Free PMC article.

2

Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.

Kawula M, Purice D, Li M, Vivar G, Ahmadi SA, Parodi K, Belka C, Landry G, Kurz C. Kawula M, et al. Radiat Oncol. 2022 Jan 31;17(1):21. doi: 10.1186/s13014-022-01985-9. Radiat Oncol. 2022. PMID: 35101068 Free PMC article.

3

Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.

Kawula M, Hadi I, Nierer L, Vagni M, Cusumano D, Boldrini L, Placidi L, Corradini S, Belka C, Landry G, Kurz C. Kawula M, et al. Med Phys. 2023 Mar;50(3):1573-1585. doi: 10.1002/mp.16056. Epub 2022 Nov 7. Med Phys. 2023. PMID: 36259384

4

Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.

Ribeiro MF, Marschner S, Kawula M, Rabe M, Corradini S, Belka C, Riboldi M, Landry G, Kurz C. Ribeiro MF, et al. Among authors: kawula m. Radiat Oncol. 2023 Aug 14;18(1):135. doi: 10.1186/s13014-023-02330-4. Radiat Oncol. 2023. PMID: 37574549 Free PMC article.

5

Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating.

Xiong Y, Rabe M, Nierer L, Kawula M, Corradini S, Belka C, Riboldi M, Landry G, Kurz C. Xiong Y, et al. Among authors: kawula m. Strahlenther Onkol. 2023 Jun;199(6):544-553. doi: 10.1007/s00066-022-02005-1. Epub 2022 Sep 23. Strahlenther Onkol. 2023. PMID: 36151215 Free PMC article.

6

Impact of secondary particles on the magnetic field generated by a proton pencil beam: a finite-element analysis based on Geant4-DNA simulations.

Rädler M, Buizza G, Kawula M, Palaniappan P, Gianoli C, Baroni G, Paganelli C, Parodi K, Riboldi M. Rädler M, et al. Among authors: kawula m. Med Phys. 2023 Feb;50(2):1000-1018. doi: 10.1002/mp.16062. Epub 2023 Jan 2. Med Phys. 2023. PMID: 36346042

7

Sub-millimeter precise photon interaction position determination in large monolithic scintillators via convolutional neural network algorithms.

Kawula M, Binder TM, Liprandi S, Viegas R, Parodi K, Thirolf PG. Kawula M, et al. Phys Med Biol. 2021 Jul 2;66(13). doi: 10.1088/1361-6560/ac06e2. Phys Med Biol. 2021. PMID: 34062523

8

Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen.

Kawula M, Marschner S, Wei C, Ribeiro MF, Corradini S, Belka C, Landry G, Kurz C. Kawula M, et al. Med Phys. 2024 Dec 19. doi: 10.1002/mp.17580. Online ahead of print. Med Phys. 2024. PMID: 39699250

9

Evaluation of magnetic resonance thermometry performance during MR-guided hyperthermia treatment of soft-tissue sarcomas in the lower extremities and pelvis.

Karkavitsas SN, Göger-Neff M, Kawula M, Sumser K, Zilles B, Wadepohl M, Landry G, Kurz C, Kunz WG, Dietrich O, Lindner LH, Paulides MM. Karkavitsas SN, et al. Among authors: kawula m. Int J Hyperthermia. 2024;41(1):2405105. doi: 10.1080/02656736.2024.2405105. Epub 2024 Sep 22. Int J Hyperthermia. 2024. PMID: 39307528 Free article.

10

Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs' auto-segmentation and visual grading assessment.

Vagni M, Tran HE, Catucci F, Chiloiro G, D'Aviero A, Re A, Romano A, Boldrini L, Kawula M, Lombardo E, Kurz C, Landry G, Belka C, Indovina L, Gambacorta MA, Cusumano D, Placidi L. Vagni M, et al. Among authors: kawula m. Front Oncol. 2024 Mar 28;14:1294252. doi: 10.3389/fonc.2024.1294252. eCollection 2024. Front Oncol. 2024. PMID: 38606108 Free PMC article.

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