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Elia Lombardo
Elia Lombardo
Department of Radiation Oncology, University Hospital, LMU Munich
在 med.uni-muenchen.de 的电子邮件经过验证
标题
引用次数
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Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy
E Lombardo, M Rabe, Y Xiong, L Nierer, D Cusumano, L Placidi, ...
Physics in Medicine & Biology 67 (9), 095006, 2022
262022
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis
Y Wang, E Lombardo, M Avanzo, S Zschaek, J Weingärtner, A Holzgreve, ...
Computer Methods and Programs in Biomedicine 222, 106948, 2022
252022
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts
E Lombardo, C Kurz, S Marschner, M Avanzo, V Gagliardi, G Fanetti, ...
Scientific reports 11 (1), 6418, 2021
252021
Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy
E Lombardo, M Rabe, Y Xiong, L Nierer, D Cusumano, L Placidi, ...
Radiotherapy and Oncology 182, 109555, 2023
162023
MR-guided radiotherapy in node-positive non-small cell lung cancer and severely limited pulmonary reserve: a report proposing a new clinical pathway for the management of high …
C Eze, E Lombardo, L Nierer, Y Xiong, M Niyazi, C Belka, F Manapov, ...
Radiation Oncology 17 (1), 43, 2022
122022
Risk Stratification Using 18F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy
SN Marschner, E Lombardo, L Minibek, A Holzgreve, L Kaiser, NL Albert, ...
Diagnostics 11 (9), 1581, 2021
72021
Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects
E Lombardo, J Dhont, D Page, C Garibaldi, LA Künzel, C Hurkmans, ...
Radiotherapy and Oncology, 109970, 2023
62023
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
62023
Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images
Y Wang, E Lombardo, L Huang, M Avanzo, G Fanetti, G Franchin, ...
Radiation Oncology 19 (1), 3, 2024
52024
A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in F]FDG PET/CT
P Nikulin, S Zschaeck, J Maus, P Cegla, E Lombardo, C Furth, ...
European Journal of Nuclear Medicine and Molecular Imaging 50 (9), 2751-2766, 2023
52023
18F-Fluorodeoxyglucose positron emission tomography of head and neck cancer: location and HPV specific parameters for potential treatment individualization
S Zschaeck, J Weingaertner, E Lombardo, S Marschner, M Hajiyianni, ...
Frontiers in Oncology 12, 870319, 2022
52022
Experimental comparison of linear regression and LSTM motion prediction models for MLC‐tracking on an MRI‐linac
E Lombardo, PZY Liu, DEJ Waddington, J Grover, B Whelan, E Wong, ...
Medical Physics 50 (11), 7083-7092, 2023
42023
DeepClassPathway: Molecular pathway aware classification using explainable deep learning
E Lombardo, J Hess, C Kurz, M Riboldi, S Marschner, P Baumeister, ...
European Journal of Cancer 176, 41-49, 2022
42022
Planning CT Identifies Patients at Risk of High Prostate Intrafraction Motion
H Ballhausen, M Li, E Lombardo, G Landry, C Belka
Cancers 15 (16), 4103, 2023
12023
Head and neck cancer localization with Retina Unet for automated segmentation and time-to-event prognosis from PET/CT images
Y Wang, E Lombardo, L Huang, C Belka, M Riboldi, C Kurz, G Landry
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 202-211, 2022
12022
2254: Metabolic adapted radiation dose for head and neck squamous cell carcinoma
S Zschaeck, E Kukuk, E Lombardo, S Marschner, M Beck, F Mehrhof, Y Li, ...
Radiotherapy and Oncology 194, S1387-S1389, 2024
2024
3545: Unlocking the promise of AI in real-time for a moving target
E Lombardo
Radiotherapy and Oncology 194, S127, 2024
2024
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
M Vagni, HE Tran, F Catucci, G Chiloiro, A D’Aviero, A Re, A Romano, ...
Frontiers in oncology 14, 1294252, 2024
2024
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
PO-1901 Comparing LSTM networks for real-time target segmentation prediction on low-field MR-linacs
E Lombardo, M Rabe, Y Xiong, L Nierer, D Cusumano, L Placidi, ...
Radiotherapy and Oncology 182, S1647-S1648, 2023
2023
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