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Nasopharyngeal carcinoma in a low incidence European area: A prospective observational analysis from the Head and Neck Study Group of the Italian Society of Radiation Oncology (AIRO) 1-gen-2016 Tonoli, S.; Alterio, D.; Caspiani, O.; Bacigalupo, A.; Bunkheila, F.; Cianciulli, M.; Merlotti, A.; Podhradska, A.; Rampino, M.; Cante, D.; Bruschieri, L.; Gatta, R.; Magrini, S. M.
Bridging the Gap between Knowledge Representation and Electronic Health Records 1-gen-2016 Castellano, Maurizio; Valentini, Vincenzo; Muiesan, Maria Lorenza; Finardi, Silvio; Salvetti, Massimo; De Bari, Berardino; Cappelli, Carlo; Vallati, Mauro; Gatta, Roberto
Standardized data collection to build prediction models in oncology: A prototype for rectal cancer 1-gen-2016 Meldolesi, E.; Van Soest, J.; Damiani, A.; Dekker, A.; Alitto, A. R.; Campitelli, M.; Dinapoli, N.; Gatta, R.; Gambacorta, M. A.; Lanzotti, V.; Lambin, P.; Valentini, V.
Radiomics for rectal cancer 1-gen-2016 Dinapoli, N.; Casa, C.; Barbaro, B.; Chiloiro, G. V.; Damiani, A.; Di Matteo, M.; Farchione, A.; Gambacorta, M. A.; Gatta, R.; Lanzotti, V.; Masciocchi, C.; Valentini, V.
RadioBio data: A moddicom module to predict tumor control probability and normal tissue complication probability in radiotherapy 1-gen-2016 Dinapoli, N.; Alitto, A. R.; Vallati, M.; Autorino, R.; Gatta, R.; Boldrini, L.; Damiani, A.; Mantini, G.; Valentini, V.
Generating and comparing knowledge graphs of medical processes using pMineR 1-gen-2017 Gatta, R.; Vallati, M.; Lenkowicz, J.; Rojas, E.; Damiani, A.; Sacchi, L.; De Bari, B.; Dagliati, A.; Fernandez-Llatas, C.; Montesi, M.; Marchetti, A.; Castellano, M.; Valentini, V.
Prospective validation of pathologic complete response models in rectal cancer: Transferability and reproducibility 1-gen-2017 Van Soest, J.; Meldolesi, E.; Van Stiphout, R.; Gatta, R.; Damiani, A.; Valentini, V.; Lambin, P.; Dekker, A.
pMineR: An innovative R library for performing process mining in medicine 1-gen-2017 Gatta, R.; Lenkowicz, J.; Vallati, M.; Rojas, E.; Damiani, A.; Sacchi, L.; De Bari, B.; Dagliati, A.; Fernandez-Llatas, C.; Montesi, M.; Marchetti, A.; Castellano, M.; Valentini, V.
Development and validation of a machine learning-based predictive model to improve the prediction of inguinal status of anal cancer patients: A preliminary report 1-gen-2017 De Bari, B.; Vallati, M.; Gatta, R.; Lestrade, L.; Manfrida, S.; Carrie, C.; Valentini, V.
Knowledge engineering in oncology: models for representing and mining clinical practice 1-gen-2017 Gatta, R
PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE 1-gen-2017 Alitto, A.; Gatta, R.; Vanneste, B.; Vallati, M.; Meldolesi, E.; Damiani, A.; Lanzotti, V.; Mattiucci, G.; Frascino, V.; Masciocchi, C.; Catucci, F.; Dekker, A.; Lambin, P.; Valentini, V.; Mantini, G.
Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer 1-gen-2018 Dinapoli, N; Barbaro, B; Gatta, R; Chiloiro, G; Casa, C; Masciocchi, C; Damiani, A; Boldrini, L; Gambacorta, A; Dezio, M; Mattiucci, C; Balducci, M; van Soest, J; Dekker, A; Lambin, P; Fiorino, C; Sini, C; De Cobelli, F; Di Muzio, N; Gumina, C; Passoni, P; Manfredi, R; Valentini, V
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer 1-gen-2018 Cusumano, D.; Dinapoli, N.; Boldrini, L.; Chiloiro, G.; Gatta, R.; Masciocchi, C.; Lenkowicz, J.; Casa, C.; Damiani, A.; Azario, L.; Van Soest, J.; Dekker, A.; Lambin, P.; De Spirito, M.; Valentini, V.
Preliminary data analysis in healthcare multicentric data mining: A privacy-preserving distributed approach 1-gen-2018 Damiani, A.; Masciocchi, C.; Boldrini, L.; Gatta, R.; Dinapoli, N.; Lenkowicz, J.; Chiloiro, G.; Gambacorta, M. A.; Tagliaferri, L.; Autorino, R.; Pagliara, M. M.; Blasi, M. A.; Van Soest, J.; Dekker, A.; Valentini, V.
How can radiomics improve clinical choices? 1-gen-2018 Meldolesi, E.; Dinapoli, N.; Gatta, R.; Damiani, A.; Valentini, V.; Farchione, A.
Ent cobra ontology: the covariates classification system proposed by the Head & Neck and Skin GEC-ESTRO Working Group for interdisciplinary standardized data collection in head and neck patient cohorts treated with interventional radiotherapy (brachytherapy) 1-gen-2018 Tagliaferri, L.; Budrukkar, A.; Lenkowicz, J.; Cambeiro, M.; Bussu, F.; Guinot, J. L.; Hildebrandt, G.; Johansson, B.; Meyer, J. E.; Niehoff, P.; Rovirosa, A.; Takacsi-Nagy, Z.; Boldrini, L.; Dinapoli, N.; Lanzotti, V.; Damiani, A.; Gatta, R.; Fionda, B.; Lancellotta, V.; Soror, T.; Martinez Monge, R.; Valentini, V.; Kovacs, G.
A framework for event log generation and knowledge representation for process mining in healthcare 1-gen-2018 Gatta, R.; Vallati, M.; Lenkowicz, J.; Casa, C.; Cellini, F.; Damiani, A.; Valentini, V.
How do we collect data in the perspective of new personalize medicine tools in rectal cancer? 1-gen-2018 Meldolesi, E.; Cellini, F.; Chiloiro, G.; Damiani, A.; Gatta, R.; Gambacorta, M. A.; Valentini, V.
Assessing the conformity to clinical guidelines in oncology: An example for the multidisciplinary management of locally advanced colorectal cancer treatment 1-gen-2018 Lenkowicz, J.; Gatta, R.; Masciocchi, C.; Casa, C.; Cellini, F.; Damiani, A.; Dinapoli, N.; Valentini, V.
Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process 1-gen-2019 Martinez-Millana, A.; Lizondo, A.; Gatta, R.; Traver, V.; Fernandez-Llatas, C.
Mostrati risultati da 21 a 40 di 77
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