Lenkowicz, Jacopo

Lenkowicz, Jacopo  

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Risultati 1 - 20 di 36 (tempo di esecuzione: 0.017 secondi).
Data di pubblicazione Titolo Autore(i) File
1-gen-2021 Application of Artificial Neural Network to Preoperative 18F-FDG PET/CT for Predicting Pathological Nodal Involvement in Non-small-cell Lung Cancer Patients Taralli, Silvia; Scolozzi, Valentina; Boldrini, Luca; Lenkowicz, Jacopo; Pelliccioni, Armando; Lorusso, Margherita; Attieh, Ola; Ricciardi, Sara; Carleo, Francesco; Cardillo, Giuseppe; Calcagni, Maria Lucia
1-gen-2021 Artificial intelligence and oct angiography in full thickness macular hole. New developments for personalized medicine Rizzo, S.; Savastano, A.; Lenkowicz, J.; Savastano, M. C.; Boldrini, L.; Bacherini, D.; Falsini, B.; Valentini, V.
1-gen-2018 Assessing the conformity to clinical guidelines in oncology: An example for the multidisciplinary management of locally advanced colorectal cancer treatment Lenkowicz, J.; Gatta, R.; Masciocchi, C.; Casa, C.; Cellini, F.; Damiani, A.; Dinapoli, N.; Valentini, V.
1-gen-2020 Avatar: Analysis for visual acuity prediction after eye interventional radiotherapy Pagliara, M. M.; Tagliaferri, L.; Lenkowicz, J.; Azario, L.; Giattini, D.; Fionda, B.; Sammarco, M. G.; Lancellotta, V.; Gambacorta, M. A.; Blasi, M. A.
1-gen-2020 Avatar: Analysis for visual acuity prediction after eye interventional radiotherapy Pagliara, M. M.; Tagliaferri, L.; Lenkowicz, J.; Azario, L.; Giattini, D.; Fionda, B.; Sammarco, M. G.; Lancellotta, V.; Gambacorta, M. A.; Blasi, M. A.
1-gen-2019 Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma Liang, Zhong-Guo; Tan, Hong Qi; Zhang, Fan; Rui Tan, Lloyd Kuan; Lin, Li; Lenkowicz, Jacopo; Wang, Haitao; Wen Ong, Enya Hui; Kusumawidjaja, Grace; Phua, Jun Hao; Gan, Soon Ann; Sin, Sze Yarn; Ng, Yan Yee; Tan, Terence Wee; Soong, Yoke Lim; Fong, Kam Weng; Park, Sung Yong; Soo, Khee-Chee; Wee, Joseph Tien; Zhu, Xiao-Dong; Valentini, Vincenzo; Boldrini, Luca; Sun, Ying; Chua, Melvin Lee
1-gen-2020 Convolutional neural network based on fluorescein angiography images for retinopathy of prematurity management Lepore, D.; Ji, M. H.; Pagliara, M. M.; Lenkowicz, J.; Capocchiano, N. D.; Tagliaferri, L.; Boldrini, L.; Valentini, V.; Damiani, A.
1-gen-2019 CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence Risk Akinci D'Antonoli, Tugba; Farchione, Alessandra; Lenkowicz, Jacopo; Chiappetta, Marco; Cicchetti, Giuseppe; Martino, Antonella; Ottavianelli, Alessandra; Manfredi, Riccardo; Margaritora, Stefano; Bonomo, Lorenzo; Valentini, Vincenzo; Larici, Anna Rita
1-gen-2020 A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases Cusumano, D.; Lenkowicz, J.; Votta, C.; Boldrini, L.; Placidi, L.; Catucci, F.; Dinapoli, N.; Antonelli, M. V.; Romano, A.; De Luca, V.; Chiloiro, G.; Indovina, L.; Valentini, V.
1-gen-2020 Delta Radiomics Can Predict Distant Metastasis in Locally Advanced Rectal Cancer: The Challenge to Personalize the Cure Chiloiro, G.; Rodriguez-Carnero, P.; Lenkowicz, J.; Casa, C.; Masciocchi, C.; Boldrini, L.; Cusumano, D.; Dinapoli, N.; Meldolesi, E.; Carano, D.; Damiani, A.; Barbaro, B.; Manfredi, R.; Valentini, V.; Gambacorta, M. A.
1-gen-2021 Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation Cusumano, D.; Boldrini, L.; Yadav, P.; Yu, G.; Musurunu, B.; Chiloiro, G.; Piras, A.; Lenkowicz, J.; Placidi, L.; Romano, A.; De Luca, V.; Votta, C.; Barbaro, B.; Gambacorta, M. A.; Bassetti, M. F.; Yang, Y.; Indovina, L.; Valentini, V.
1-gen-2019 Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach Boldrini, Luca; Cusumano, Davide; Chiloiro, Giuditta; Casà, Calogero; Masciocchi, Carlotta; Lenkowicz, Jacopo; Cellini, Francesco; Dinapoli, Nicola; Azario, Luigi; Teodoli, Stefania; Gambacorta, Maria Antonietta; De Spirito, Marco; Valentini, Vincenzo
1-gen-2021 Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer Moro, F; Albanese, M; Boldrini, L; Chiappa, V; Lenkowicz, J; Bertolina, F; Mascilini, F; Moroni, R; Gambacorta, M A; Raspagliesi, F; Scambia, G; Testa, A C; Fanfani, F
1-gen-2022 Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development Chiloiro, G.; Cusumano, D.; de Franco, P.; Lenkowicz, J.; Boldrini, L.; Carano, D.; Barbaro, B.; Corvari, B.; Dinapoli, N.; Giraffa, M.; Meldolesi, E.; Manfredi, R.; Valentini, V.; Gambacorta, M. A.
1-gen-2018 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) 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.
1-gen-2020 External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy Cusumano, D.; Boldrini, L.; Yadav, P.; Yu, G.; Musurunu, B.; Chiloiro, G.; Piras, A.; Lenkowicz, J.; Placidi, L.; Broggi, S.; Romano, A.; Mori, M.; Barbaro, B.; Azario, L.; Gambacorta, M. A.; De Spirito, M.; Bassetti, M. F.; Yang, Y.; Fiorino, C.; Valentini, V.
1-gen-2021 A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer Cusumano, D.; Meijer, G.; Lenkowicz, J.; Chiloiro, G.; Boldrini, L.; Masciocchi, C.; Dinapoli, N.; Gatta, R.; Casa, C.; Damiani, A.; Barbaro, B.; Gambacorta, M. A.; Azario, L.; De Spirito, M.; Intven, M.; Valentini, V.
1-gen-2018 Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer Cusumano, Davide; Dinapoli, Nicola; Boldrini, Luca; Chiloiro, Giuditta; Gatta, Roberto; Masciocchi, Carlotta; Lenkowicz, Jacopo; Casa', Calogero; Damiani, Andrea; Azario, Luigi; van Soest, Johan; Dekker, Andre; Lambin, Philippe; de Spirito, Marco; Valentini, Vincenzo
1-gen-2021 Generator breast datamart—the novel breast cancer data discovery system for research and monitoring: Preliminary results and future perspectives Marazzi, F.; Tagliaferri, L.; Masiello, V.; Moschella, F.; Colloca, G. F.; Corvari, B.; Sanchez, A. M.; Capocchiano, N. D.; Pastorino, R.; Iacomini, C.; Lenkowicz, J.; Masciocchi, C.; Patarnello, S.; Franceschini, G.; Gambacorta, M. A.; Masetti, R.; Valentini, V.
1-gen-2020 Germline BRCA 1-2 status prediction through ovarian ultrasound images radiogenomics: a hypothesis generating study (PROBE study) Nero, Camilla; Ciccarone, Francesca; Boldrini, Luca; Lenkowicz, Jacopo; Paris, Ida; Capoluongo, Ettore Domenico; Testa, Antonia Carla; Fagotti, Anna; Valentini, Vincenzo; Scambia, Giovanni