Search Results - "Lombardo, Elia"

Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts by Lombardo, Elia, Kurz, Christopher, Marschner, Sebastian, Avanzo, Michele, Gagliardi, Vito, Fanetti, Giuseppe, Franchin, Giovanni, Stancanello, Joseph, Corradini, Stefanie, Niyazi, Maximilian, Belka, Claus, Parodi, Katia, Riboldi, Marco, Landry, Guillaume

“…Deep learning models based on medical images play an increasingly important role for cancer outcome prediction. The standard approach involves usage of…”
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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-risk patients by Eze, Chukwuka, Lombardo, Elia, Nierer, Lukas, Xiong, Yuqing, Niyazi, Maximilian, Belka, Claus, Manapov, Farkhad, Corradini, Stefanie

“…Online MR-guided radiotherapy (MRgRT) is a relatively novel advancement in the field of radiation oncology, ensuring superior soft-tissue visualisation,…”
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Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images by Wang, Yiling, Lombardo, Elia, Huang, Lili, Avanzo, Michele, Fanetti, Giuseppe, Franchin, Giovanni, Zschaeck, Sebastian, Weingärtner, Julian, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

“…Deep learning-based auto-segmentation of head and neck cancer (HNC) tumors is expected to have better reproducibility than manual delineation. Positron…”
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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 by Vagni, Marica, Tran, Huong Elena, Catucci, Francesco, Chiloiro, Giuditta, D'Aviero, Andrea, Re, Alessia, Romano, Angela, Boldrini, Luca, Kawula, Maria, Lombardo, Elia, Kurz, Christopher, Landry, Guillaume, Belka, Claus, Indovina, Luca, Gambacorta, Maria Antonietta, Cusumano, Davide, Placidi, Lorenzo

“…Magnetic resonance imaging (MRI)-guided radiotherapy enables adaptive treatment plans based on daily anatomical changes and accurate organ visualization…”
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ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients by Schmitz, Henning, Thummerer, Adrian, Kawula, Maria, Lombardo, Elia, Parodi, Katia, Belka, Claus, Kamp, Florian, Kurz, Christopher, Landry, Guillaume

“…Background and purpose: In radiotherapy, dose calculations based on 4D cone beam CTs (4DCBCTs) require image intensity corrections. This retrospective study…”
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3545: Unlocking the promise of AI in real-time for a moving target by Lombardo, Elia

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18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization by Zschaeck, Sebastian, Weingärtner, Julian, Lombardo, Elia, Marschner, Sebastian, Hajiyianni, Marina, Beck, Marcus, Zips, Daniel, Li, Yimin, Lin, Qin, Amthauer, Holger, Troost, Esther G. C., van den Hoff, Jörg, Budach, Volker, Kotzerke, Jörg, Ferentinos, Konstantinos, Karagiannis, Efstratios, Kaul, David, Gregoire, Vincent, Holzgreve, Adrien, Albert, Nathalie L., Nikulin, Pavel, Bachmann, Michael, Kopka, Klaus, Krause, Mechthild, Baumann, Michael, Kazmierska, Joanna, Cegla, Paulina, Cholewinski, Witold, Strouthos, Iosif, Zöphel, Klaus, Majchrzak, Ewa, Landry, Guillaume, Belka, Claus, Stromberger, Carmen, Hofheinz, Frank

“…Purpose 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is utilized for staging and treatment planning of head and neck squamous cell carcinomas…”
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Risk Stratification Using 18F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy by Marschner, Sebastian, Lombardo, Elia, Minibek, Lena, Holzgreve, Adrien, Kaiser, Lena, Albert, Nathalie, Kurz, Christopher, Riboldi, Marco, Späth, Richard, Baumeister, Philipp, Niyazi, Maximilian, Belka, Claus, Corradini, Stefanie, Landry, Guillaume, Walter, Franziska

“…This study retrospectively analyzed the performance of artificial neural networks (ANN) to predict overall survival (OS) or locoregional failure (LRF) in HNSCC…”
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Planning CT Identifies Patients at Risk of High Prostate Intrafraction Motion by Ballhausen, Hendrik, Li, Minglun, Lombardo, Elia, Landry, Guillaume, Belka, Claus

“…Prostate motion (standard deviation, range of motion, and diffusion coefficient) was calculated from 4D ultrasound data of 1791 fractions of radiation therapy…”
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Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy by Lombardo, Elia, Rabe, Moritz, Xiong, Yuqing, Nierer, Lukas, Cusumano, Davide, Placidi, Lorenzo, Boldrini, Luca, Corradini, Stefanie, Niyazi, Maximilian, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

“…Gated beam delivery is the current clinical practice for respiratory motion compensation in MR-guided radiotherapy, and further research is ongoing to…”
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Evaluation of real-time tumor contour prediction using LSTM networks for MR-guided radiotherapy by Lombardo, Elia, Rabe, Moritz, Xiong, Yuqing, Nierer, Lukas, Cusumano, Davide, Placidi, Lorenzo, Boldrini, Luca, Corradini, Stefanie, Niyazi, Maximilian, Reiner, Michael, Belka, Claus, Kurz, Christopher, Riboldi, Marco, Landry, Guillaume

“…•Comparison of three AI algorithms for real-time prediction of future tumor contours.•Usage of clinical cine MRI data from low-field MR-linacs from two…”
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927: Patient-specific deep learning for real-time tumor tracking in MR-guided radiotherapy by Velezmoro, Laura, Lombardo, Elia, Marschner, Sebastian, Reiner, Michael, Corradini, Stefanie, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

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1690: Comparing Transformer training strategies for real-time tumor tracking in MRI-guided radiotherapy by Lombardo, Elia, Velezmoro, Laura, Marschner, Sebastian, Reiner, Michael, Corradini, Stefanie, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

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Patient-Specific Deep Learning Tracking Framework for Real-Time 2D Target Localization in Magnetic Resonance Imaging-Guided Radiation Therapy by Lombardo, Elia, Velezmoro, Laura, Marschner, Sebastian N., Rabe, Moritz, Tejero, Claudia, Papadopoulou, Christianna I., Sui, Zhuojie, Reiner, Michael, Corradini, Stefanie, Belka, Claus, Kurz, Christopher, Riboldi, Marco, Landry, Guillaume

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DeepClassPathway: Molecular pathway aware classification using explainable deep learning by Lombardo, Elia, Hess, Julia, Kurz, Christopher, Riboldi, Marco, Marschner, Sebastian, Baumeister, Philipp, Lauber, Kirsten, Pflugradt, Ulrike, Walch, Axel, Canis, Martin, Klauschen, Frederick, Zitzelsberger, Horst, Belka, Claus, Landry, Guillaume, Unger, Kristian

“…HPV-associated head and neck cancer is correlated with favorable prognosis; however, its underlying biology is not fully understood. We propose an explainable…”
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Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects by Lombardo, Elia, Dhont, Jennifer, Page, Denis, Garibaldi, Cristina, Künzel, Luise A., Hurkmans, Coen, Tijssen, Rob H.N., Paganelli, Chiara, Liu, Paul Z.Y., Keall, Paul J., Riboldi, Marco, Kurz, Christopher, Landry, Guillaume, Cusumano, Davide, Fusella, Marco, Placidi, Lorenzo

“…•Description of intra-fractional motion management workflow in MRI-guided radiotherapy.•Envisioned workflow with both highest dosimetric accuracy and duty…”
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Experimental comparison of linear regression and LSTM motion prediction models for MLC‐tracking on an MRI‐linac by Lombardo, Elia, Liu, Paul Z. Y., Waddington, David E. J., Grover, James, Whelan, Brendan, Wong, Esther, Reiner, Michael, Corradini, Stefanie, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume, Keall, Paul J.

“…Abstract Background Magnetic resonance imaging (MRI)‐guided radiotherapy with multileaf collimator (MLC)‐tracking is a promising technique for intra‐fractional…”
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2254: Metabolic adapted radiation dose for head and neck squamous cell carcinoma by Zschaeck, Sebastian, Kukuk, Emily, Lombardo, Elia, Marschner, Sebastian, Beck, Marcus, Mehrhof, Felix, Li, Yimin, Lin, Qin, Furth, Christian, Gregoire, Vincent, Albert, Nathalie L., Krause, Mechthild, Baumann, Michael, Kazmierska, Joanna, Cegla, Paulina, Cholewinski, Witold, Strouthos, Iosif, Zöphel, Klaus, Landry, Guillaume, Belka, Claus, Zips, Daniel, Hofheinz, Frank

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A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [18F]FDG PET/CT by Nikulin, Pavel, Zschaeck, Sebastian, Maus, Jens, Cegla, Paulina, Lombardo, Elia, Furth, Christian, Kaźmierska, Joanna, Rogasch, Julian M. M., Holzgreve, Adrien, Albert, Nathalie L., Ferentinos, Konstantinos, Strouthos, Iosif, Hajiyianni, Marina, Marschner, Sebastian N., Belka, Claus, Landry, Guillaume, Cholewinski, Witold, Kotzerke, Jörg, Hofheinz, Frank, van den Hoff, Jörg

“…Purpose PET-derived metabolic tumor volume (MTV) and total lesion glycolysis of the primary tumor are known to be prognostic of clinical outcome in head and…”
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Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis by Wang, Yiling, Lombardo, Elia, Avanzo, Michele, Zschaek, Sebastian, Weingärtner, Julian, Holzgreve, Adrien, Albert, Nathalie L., Marschner, Sebastian, Fanetti, Giuseppe, Franchin, Giovanni, Stancanello, Joseph, Walter, Franziska, Corradini, Stefanie, Niyazi, Maximilian, Lang, Jinyi, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

“…OBJECTIVESRecent studies have shown that deep learning based on pre-treatment positron emission tomography (PET) or computed tomography (CT) is promising for…”
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