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Maria Kawula
Maria Kawula
Department of Radiation Oncology KUM, LMU Hospital
Verified email at med.uni-muenchen.de
Title
Cited by
Cited by
Year
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation
M Kawula, I Hadi, L Nierer, M Vagni, D Cusumano, L Boldrini, L Placidi, ...
Medical Physics 50 (3), 1573-1585, 2023
222023
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
M Kawula, D Purice, M Li, G Vivar, SA Ahmadi, K Parodi, C Belka, ...
Radiation Oncology 17 (1), 21, 2022
192022
Sub-millimeter precise photon interaction position determination in large monolithic scintillators via convolutional neural network algorithms
M Kawula, TM Binder, S Liprandi, R Viegas, K Parodi, PG Thirolf
Physics in Medicine & Biology 66 (13), 135017, 2021
112021
Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating
Y Xiong, M Rabe, L Nierer, M Kawula, S Corradini, C Belka, M Riboldi, ...
Strahlentherapie und Onkologie 199 (6), 544-553, 2023
72023
ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients
H Schmitz, A Thummerer, M Kawula, E Lombardo, K Parodi, C Belka, ...
Physics and Imaging in Radiation Oncology 27, 100482, 2023
42023
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
M Kawula, M Vagni, D Cusumano, L Boldrini, L Placidi, S Corradini, ...
Physics and Imaging in Radiation Oncology 28, 100498, 2023
32023
Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
MF Ribeiro, S Marschner, M Kawula, M Rabe, S Corradini, C Belka, ...
Radiation Oncology 18 (1), 135, 2023
22023
Dosimetric Impact of Deep Learning-Based CT Auto-Segmentation on IMRT Treatment Planning for Prostate Cancer
M Kawula, D Purice, M Li, G Vivar, SA Ahmadi, K Parodi, C Belka, ...
12021
Auto-segmentation of pelvic organs at risk on 0.35 T MRI using 2D and 3D Generative Adversarial Network models
M Vagni, HE Tran, A Romano, G Chiloiro, L Boldrini, K Zormpas-Petridis, ...
Physica Medica 119, 103297, 2024
2024
Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
Y Xiong, M Rabe, C Rippke, M Kawula, L Nierer, S Klüter, C Belka, ...
Physics and Imaging in Radiation Oncology, 100562, 2024
2024
AI-BASED ASSESSMENT OF BRAIN VOLUME DECREASE AFTER SRS AND WBRT
F Thiele, M Kawula, S Katzendobler, R Bodensohn, C Kurz, G Landry, ...
NEURO-ONCOLOGY 25, 2023
2023
A COMPARISON BETWEEN 2D AND 3D GAN FOR RECTUM AND BLADDER AUTO-SEGMENTATION ON 0.35 T MR IMAGES
M Vagni, HE Tran, A Romano, L Boldrini, G Chiloiro, G Landry, C Kurz, ...
Physica Medica 115, 102770, 2023
2023
Compton camera arrangement with a monolithic LaBr3 (Ce) scintillator and pixelated GAGG detector for medical imaging
S Liprandi, S Takyu, M Safari, T Binder, G Dedes, K Kamada, M Kawula, ...
IEEE Transactions on Radiation and Plasma Medical Sciences, 2023
2023
PD-0335 A comparison between 2D and 3D GAN as a supporting tool for rectum segmentation on 0.35 T MR images
M Vagni, HE Tran, A Romano, L Boldrini, G Chiloiro, G Landry, C Kurz, ...
Radiotherapy and Oncology 182, S268-S269, 2023
2023
MO-0801 Comparison of AI-based autosegmentation techniques exploiting prior knowledge at a 0.35 T MR-Linac
M Kawula, I Hadi, L Nierer, M Vagni, D Cusumano, L Boldrini, L Placidi, ...
Radiotherapy and Oncology 182, S672-S673, 2023
2023
OC-0938 ScatterNet for 4D cone-beam CT intensity correction of lung cancer patients
H Schmitz, E Lombardo, M Kawula, K Parodi, C Belka, F Kamp, C Kurz, ...
Radiotherapy and Oncology 182, S785-S786, 2023
2023
Impact of secondary particles on the magnetic field generated by a proton pencil beam: a finite‐element analysis based on Geant4‐DNA simulations
M Rädler, G Buizza, M Kawula, P Palaniappan, C Gianoli, G Baroni, ...
Medical Physics 50 (2), 1000-1018, 2023
2023
Patient-Specific Transfer Learning to Enhance the Performance of Deep Learning Auto-Segmentation in 0.35 T MRgRT for Prostate Cancer
M Kawula, I Hadi, L Nierer, M Vagni, D Cusumano, L Boldrini, L Placidi, ...
MEDICAL PHYSICS 49 (6), E262-E262, 2022
2022
PD-0067 AI auto-segmentation for MRgRT of prostate cancer: evaluating 269 MR images from two institutes
M Kawula, I Hadi, D Cusumano, L Boldrini, L Placidi, S Corradini, C Belka, ...
Radiotherapy and Oncology 170, S40-S41, 2022
2022
PH-0042 Dosimetric impact of auto segmentation on treatment planning in IMRT for prostate patients
M Kawula, D Purice, M Li, G Vivar, S Ahmadi, K Parodi, C Belka, G Landry, ...
Radiotherapy and Oncology 161, S14-S15, 2021
2021
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