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 | 22 | 2023 |
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 | 19 | 2022 |
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 | 11 | 2021 |
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 | 7 | 2023 |
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 | 4 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2023 |
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, ... | 1 | 2021 |
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 |