Machine and deep learning methods for radiomics von Avanzo, Michele, Wei, Lise, Stancanello, Joseph, Vallières, Martin, Rao, Arvind, Morin, Olivier, Mattonen, Sarah A., El Naqa, Issam

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Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts von 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

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Artificial Intelligence and the Medical Physicist: Welcome to the Machine von Avanzo, Michele, Trianni, Annalisa, Botta, Francesca, Talamonti, Cinzia, Stasi, Michele, Iori, Mauro

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In Doxorubicin-Adapted Hodgkin Lymphoma Cells, Acquiring Multidrug Resistance and Improved Immunosuppressive Abilities, Doxorubicin Activity Was Enhanced by Chloroquine and GW4869 von Casagrande, Naike, Borghese, Cinzia, Avanzo, Michele, Aldinucci, Donatella

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Local High-Dose Radiotherapy Induces Systemic Immunomodulating Effects of Potential Therapeutic Relevance in Oligometastatic Breast Cancer von Muraro, Elena, Furlan, Carlo, Avanzo, Michele, Martorelli, Debora, Comaro, Elisa, Rizzo, Aurora, Fae', Damiana A, Berretta, Massimiliano, Militello, Loredana, Del Conte, Alessandro, Spazzapan, Simon, Dolcetti, Riccardo, Trovo', Marco

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Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images von Wang, Yiling, Lombardo, Elia, Huang, Lili, Avanzo, Michele, Fanetti, Giuseppe, Franchin, Giovanni, Zschaeck, Sebastian, Weingärtner, Julian, Belka, Claus, Riboldi, Marco, Kurz, Christopher, Landry, Guillaume

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miR‐9 modulates and predicts the response to radiotherapy and EGFR inhibition in HNSCC von Citron, Francesca, Segatto, Ilenia, Musco, Lorena, Pellarin, Ilenia, Rampioni Vinciguerra, Gian Luca, Franchin, Giovanni, Fanetti, Giuseppe, Miccichè, Francesco, Giacomarra, Vittorio, Lupato, Valentina, Favero, Andrea, Concina, Isabella, Srinivasan, Sanjana, Avanzo, Michele, Castiglioni, Isabella, Barzan, Luigi, Sulfaro, Sandro, Petrone, Gianluigi, Viale, Andrea, Draetta, Giulio F, Vecchione, Andrea, Belletti, Barbara, Baldassarre, Gustavo

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Real world clinical outcomes from targeted intraoperative radiotherapy (TARGIT-IORT) during lumpectomy for breast cancer: data from a large cohort at a national cancer institute von Vinante, Lorenzo, Vaidya, Jayant Sharad, Caroli, Angela, Mileto, Mario, Piccoli, Erica, Avanzo, Michele, Barresi, Loredana, Marson, Marta, Montico, Marcella, Baboci, Lorena, Perin, Tiziana, Urbani, Martina, Puglisi, Fabio, Mascarin, Maurizio, Massarut, Samuele

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Stereotactic Body Radiation Therapy for Re-irradiation of Persistent or Recurrent Non-Small Cell Lung Cancer von Trovo, Marco, MD, Minatel, Emilio, MD, Durofil, Elena, RTT, Polesel, Jerry, ScD, Avanzo, Michele, ScD, Baresic, Tania, MD, Bearz, Alessandra, MD, Del Conte, Alessandro, MD, Franchin, Giovanni, MD, Gobitti, Carlo, MD, Rumeileh, Imad Abu, MD, Trovo, Mauro G., MD

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Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis von Avanzo, Michele, Pirrone, Giovanni, Vinante, Lorenzo, Caroli, Angela, Stancanello, Joseph, Drigo, Annalisa, Massarut, Samuele, Mileto, Mario, Urbani, Martina, Trovo, Marco, El Naqa, Issam, De Paoli, Antonino, Sartor, Giovanna

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Beyond imaging: The promise of radiomics von Avanzo, Michele, Stancanello, Joseph, El Naqa, Issam

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Artificial Intelligence-Based Patient Selection for Deep Inspiration Breath-Hold Breast Radiotherapy from Respiratory Signals von Vendrame, Alessandra, Cappelletto, Cristina, Chiovati, Paola, Vinante, Lorenzo, Parvej, Masud, Caroli, Angela, Pirrone, Giovanni, Barresi, Loredana, Drigo, Annalisa, Avanzo, Michele

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Loss of p27kip1 increases genomic instability and induces radio-resistance in luminal breast cancer cells von Berton, Stefania, Cusan, Martina, Segatto, Ilenia, Citron, Francesca, D’Andrea, Sara, Benevol, Sara, Avanzo, Michele, Dall’Acqua, Alessandra, Schiappacassi, Monica, Bristow, Robert G., Belletti, Barbara, Baldassarre, Gustavo

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Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell Lung Cancer von Bertolini, Marco, Trojani, Valeria, Botti, Andrea, Cucurachi, Noemi, Galaverni, Marco, Cozzi, Salvatore, Borghetti, Paolo, La Mattina, Salvatore, Pastorello, Edoardo, Avanzo, Michele, Revelant, Alberto, Sepulcri, Matteo, Paronetto, Chiara, Ursino, Stefano, Malfatti, Giulia, Giaj-Levra, Niccolò, Falcinelli, Lorenzo, Iotti, Cinzia, Iori, Mauro, Ciammella, Patrizia

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Radiomics and deep learning in lung cancer von Avanzo, Michele, Stancanello, Joseph, Pirrone, Giovanni, Sartor, Giovanna

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Seven fractions to deliver partial breast irradiation: the toxicity is Low von Trovo, Marco, Avanzo, Michele, Vinante, Lorenzo, Furlan, Carlo, Fiorica, Francesco, Perin, Tiziana, Militello, Loredana, Spazzapan, Simon, Berretta, Massimiliano, Jena, Rajesh, Stancanello, Joseph, Piccoli, Erica, Mileto, Mario, Micheli, Elvia, Roncadin, Mario, Massarut, Samuele

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Single-fraction flattening filter–free volumetric modulated arc therapy for lung cancer: Dosimetric results and comparison with flattened beams technique von Barbiero, Sara, M.S, Rink, Alexandra, Ph.D, Matteucci, Fabrizio, M.D, Fedele, David, Ph.D, Paiar, Fabiola, M.D, Pasqualetti, Francesco, M.D, Avanzo, Michele, M.S

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Regulatory Aspects of the Use of Artificial Intelligence Medical Software von Zanca, Federica, Brusasco, Caterina, Pesapane, Filippo, Kwade, Zuzanna, Beckers, Ruth, Avanzo, Michele

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The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning von Avanzo, Michele, Stancanello, Joseph, Pirrone, Giovanni, Drigo, Annalisa, Retico, Alessandra

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A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools von Bettinelli, Andrea, Marturano, Francesca, Avanzo, Michele, Loi, Emiliano, Menghi, Enrico, Mezzenga, Emilio, Pirrone, Giovanni, Sarnelli, Anna, Strigari, Lidia, Strolin, Silvia, Paiusco, Marta

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