MORI, MARTINA
MORI, MARTINA
Dipartimento di Fisica Aldo Pontremoli
Comparing Performances of Predictive Models of Toxicity after Radiotherapy for Breast Cancer Using Different Machine Learning Approaches
2024 M. Giulia Ubeira-Gabellini, M. Mori, G. Palazzo, A. Cicchetti, P. Mangili, M. Pavarini, T. Rancati, A. Fodor, A. del Vecchio, N. Gisella Di Muzio, C. Fiorino
Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical cohort of pancreatic cancer patients
2023 S. Loi, M. Mori, D. Palumbo, S. Crippa, G. Palazzo, E. Spezi, A. Del Vecchio, M. Falconi, F. De Cobelli, C. Fiorino
Prediction of the characteristics of aggressiveness of pancreatic neuroendocrine neoplasms (PanNENs) based on CT radiomic features
2023 M. Mori, D. Palumbo, F. Muffatti, S. Partelli, J. Mushtaq, V. Andreasi, F. Prato, M.G. Ubeira, G. Palazzo, M. Falconi, C. Fiorino, F. De Cobelli
CT radiomic predictors of local relapse after SBRT for lung oligometastases from colorectal cancer: a single institute pilot study
2023 A. Fodor, M. Mori, R. Tummineri, S. Broggi, C. Lucrezia Deantoni, P. Mangili, S. Baroni, S. Lorenzo Villa, I. Dell’Oca, A. Del Vecchio, C. Fiorino, N. Di Muzio
Stomach and duodenum dose–volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in combination with chemotherapy
2023 S. Broggi, P. Passoni, P. Tiberio, A. Cicchetti, G.M. Cattaneo, B. Longobardi, M. Mori, M. Reni, N. Slim, A. Del Vecchio, N.G. Di Muzio, C. Fiorino
Does radiomics play a role in the diagnosis, staging and re-staging of gastroesophageal junction adenocarcinoma?
2023 M. Mori, D. Palumbo, F. De Cobelli, C. Fiorino
External validation of an 18F-FDG-PET radiomic model predicting survival after radiotherapy for oropharyngeal cancer
2023 M. Mori, C. Deantoni, M. Olivieri, E. Spezi, A. Chiara, S. Baroni, M. Picchio, A. Del Vecchio, N.G. Di Muzio, C. Fiorino, I. Dell'Oca
Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study
2022 M. Mori, L. Alborghetti, D. Palumbo, S. Broggi, D. Raspanti, P. Rovere Querini, A. Del Vecchio, F. De Cobelli, C. Fiorino
Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC)
2022 M. Redegalli, M. Schiavo Lena, M.G. Cangi, C.E. Smart, M. Mori, C. Fiorino, P.G. Arcidiacono, G. Balzano, M. Falconi, M. Reni, C. Doglioni
Prediction of early distant recurrence in upfront resectable pancreatic adenocarcinoma: A multidisciplinary, machine learning-based approach
2021 D. Palumbo, M. Mori, F. Prato, S. Crippa, G. Belfiori, M. Reni, J. Mushtaq, F. Aleotti, G. Guazzarotti, R. Cao, S. Steidler, D. Tamburrino, E. Spezi, A. Del Vecchio, S. Cascinu, M. Falconi, C. Fiorino, F. De Cobelli
Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry
2021 M. Mori, D. Palumbo, R. De Lorenzo, S. Broggi, N. Compagnone, G. Guazzarotti, P. Giorgio Esposito, A. Mazzilli, S. Steidler, G. Pietro Vitali, A. Del Vecchio, P. Rovere Querini, F. De Cobelli, C. Fiorino
CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors
2021 G. Benedetti, M. Mori, M.M. Panzeri, M. Barbera, D. Palumbo, C. Sini, F. Muffatti, V. Andreasi, S. Steidler, C. Doglioni, S. Partelli, M. Manzoni, M. Falconi, C. Fiorino, F. De Cobelli
An automatic approach for individual hu-based characterization of lungs in COVID-19 patients
2021 A. Mazzilli, C. Fiorino, A. Loria, M. Mori, P.G. Esposito, D. Palumbo, F. de Cobelli, A. Del Vecchio
Monitoring skin dose changes during image-guided helical tomotherapy for head and neck cancer patients
2020 M. Mori, I. Dell'Oca, M. Branchini, S. Foti, S. Broggi, L. Perna, G.M. Cattaneo, R. Calandrino, N.G. Di Muzio, C. Fiorino
Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemotherapy for locally advanced pancreatic cancer
2020 M. Mori, P. Passoni, E. Incerti, V. Bettinardi, S. Broggi, M. Reni, P. Whybra, E. Spezi, E.G. Vanoli, L. Gianolli, M. Picchio, N.G. Di Muzio, C. Fiorino
Predicting pathological response after radio-chemotherapy for rectal cancer: Impact of late oxaliplatin administration
2020 S. Broggi, P. Passoni, C. Gumina, A. Palmisano, A. Bresolin, V. Burgio, A. Di Chiara, U. Elmore, M. Mori, N. Slim, M. Ronzoni, R. Rosati, F. De Cobelli, N.G. Di Muzio, C. Fiorino
Robustness of CT radiomic features against image discretization and interpolation in characterizing pancreatic neuroendocrine neoplasms
2020 S. Loi, M. Mori, G. Benedetti, S. Partelli, S. Broggi, G.M. Cattaneo, D. Palumbo, F. Muffatti, M. Falconi, F. De Cobelli, C. Fiorino
External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy
2020 D. Cusumano, L. Boldrini, P. Yadav, G. Yu, B. Musurunu, G. Chiloiro, A. Piras, J. Lenkowicz, L. Placidi, S. Broggi, A. Romano, M. Mori, B. Barbaro, L. Azario, M.A. Gambacorta, M. De Spirito, M.F. Bassetti, Y. Yang, C. Fiorino, V. Valentini
Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index
2019 C. Fiorino, P. Passoni, A. Palmisano, C. Gumina, G.M. Cattaneo, S. Broggi, A. Di Chiara, A. Esposito, M. Mori, M. Ronzoni, R. Rosati, N. Slim, F. De Cobelli, R. Calandrino, N.G. Di Muzio
Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty
2019 M. Mori, G. Benedetti, S. Partelli, C. Sini, V. Andreasi, S. Broggi, M. Barbera, G.M. Cattaneo, F. Muffatti, M. Panzeri, M. Falconi, C. Fiorino, F. De Cobelli