Lenkowicz, Jacopo
Lenkowicz, Jacopo
Application of Artificial Neural Network to Preoperative 18F-FDG PET/CT for Predicting Pathological Nodal Involvement in Non-small-cell Lung Cancer Patients
2021-01-01 Taralli, Silvia; Scolozzi, Valentina; Boldrini, Luca; Lenkowicz, Jacopo; Pelliccioni, Armando; Lorusso, Margherita; Attieh, Ola; Ricciardi, Sara; Carleo, Francesco; Cardillo, Giuseppe; Calcagni, Maria Lucia
Artificial intelligence and oct angiography in full thickness macular hole. New developments for personalized medicine
2021-01-01 Rizzo, S.; Savastano, A.; Lenkowicz, J.; Savastano, M. C.; Boldrini, L.; Bacherini, D.; Falsini, B.; Valentini, V.
Assessing the conformity to clinical guidelines in oncology: An example for the multidisciplinary management of locally advanced colorectal cancer treatment
2018-01-01 Lenkowicz, J.; Gatta, R.; Masciocchi, C.; Casa, C.; Cellini, F.; Damiani, A.; Dinapoli, N.; Valentini, V.
Avatar: Analysis for visual acuity prediction after eye interventional radiotherapy
2020-01-01 Pagliara, M. M.; Tagliaferri, L.; Lenkowicz, J.; Azario, L.; Giattini, D.; Fionda, B.; Sammarco, M. G.; Lancellotta, V.; Gambacorta, M. A.; Blasi, M. A.
Avatar: Analysis for visual acuity prediction after eye interventional radiotherapy
2020-01-01 Pagliara, M. M.; Tagliaferri, L.; Lenkowicz, J.; Azario, L.; Giattini, D.; Fionda, B.; Sammarco, M. G.; Lancellotta, V.; Gambacorta, M. A.; Blasi, M. A.
Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma
2019-01-01 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
Convolutional neural network based on fluorescein angiography images for retinopathy of prematurity management
2020-01-01 Lepore, D.; Ji, M. H.; Pagliara, M. M.; Lenkowicz, J.; Capocchiano, N. D.; Tagliaferri, L.; Boldrini, L.; Valentini, V.; Damiani, A.
CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence Risk
2019-01-01 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
A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases
2020-01-01 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.
Delta Radiomics Can Predict Distant Metastasis in Locally Advanced Rectal Cancer: The Challenge to Personalize the Cure
2020-01-01 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.
Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation
2021-01-01 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.
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
2019-01-01 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
Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer
2021-01-01 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
Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development
2022-01-01 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.
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)
2018-01-01 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.
External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy
2020-01-01 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.
A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer
2021-01-01 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.
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
2018-01-01 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
Generator breast datamart—the novel breast cancer data discovery system for research and monitoring: Preliminary results and future perspectives
2021-01-01 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.
Germline BRCA 1-2 status prediction through ovarian ultrasound images radiogenomics: a hypothesis generating study (PROBE study)
2020-01-01 Nero, Camilla; Ciccarone, Francesca; Boldrini, Luca; Lenkowicz, Jacopo; Paris, Ida; Capoluongo, Ettore Domenico; Testa, Antonia Carla; Fagotti, Anna; Valentini, Vincenzo; Scambia, Giovanni
| 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 |