CORDELLI, ERMANNO
CORDELLI, ERMANNO
Facoltà Dipartimentale di Ingegneria
3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients
2021-01-01 Santucci, D; Faiella, E; Cordelli, E; Sicilia, R; de Felice, C; Beomonte Zobel, B; Iannello, G; Soda, P
3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study
2023-01-01 Calabrese, A.; Santucci, D.; Gravina, M.; Faiella, E.; Cordelli, E.; Soda, P.; Iannello, G.; Sansone, C.; Zobel, B. B.; Catalano, C.; de Felice, C.
A decision support system for Type 1 Diabetes Mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity
2018-01-01 Cordelli, E; Maulucci, G; De Spirito, M; Rizzi, A; Pitocco, D; Soda, P
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images
2021-01-01 Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer
2022-01-01 Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P.
A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients
2018-01-01 Ramella, S; Fiore, M; Greco, C; Cordelli, E; Sicilia, R; Merone, M; Molfese, E; Miele, M; Cornacchione, P; Ippolito, E; Iannello, G; D’Angelillo, Rm; Soda, P
A smart sensor architecture for eHealth applications
2018-01-01 Cordelli, E.; Pennazza, G; Sabatini, M.; Santonico, M.; Vollero, L.
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
2021-01-01 Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio
An Open-Source Smart Sensor Architecture for Edge Computing in IoT Applications
2018-01-01 Cordelli, E; Pennazza, G; Sabatini, M; Santonico, M; Vollero, L
Artificial intelligence meets diabetes at the micro-scale: forecasting complications and quantitatively mining insulin granules motions
2019-12-13 Cordelli, Ermanno
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges
2023-01-01 Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P.
Categorizing the Feature Space for Two-Class Imbalance Learning
2020-01-01 Sicilia, R; Cordelli, E; Soda, P
CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI
2022-01-01 Santucci, D.; Faiella, E.; Gravina, M.; Cordelli, E.; de Felice, C.; Beomonte Zobel, B.; Iannello, G.; Sansone, C.; Soda, P.
Color to grayscale staining pattern representation in IIF
2011-01-01 Cordelli, E; Soda, P
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images
2015-01-01 Soda, P; Acciai, L; Cordelli, E; Costantini, I; Sacconi, L; Pavone, Fs; Conti, V; Guerrini, R; Frasconi, P.; Iannello, G
Cross-topic Rumour Detection in the Health Domain
2019-01-01 Sicilia, R; Merone, M; Valenti, R; Cordelli, E; D'Antoni, F; De Ruvo, V; Dragone, Pb; Esposito, S; Soda, P
Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
2023-01-01 Nibid, Lorenzo; Greco, Carlo; Cordelli, Ermanno; Sabarese, Giovanna; Fiore, Michele; Liu, Charles Z; Ippolito, Edy; Sicilia, Rosa; Miele, Marianna; Tortora, Matteo; Taffon, Chiara; Rakaee, Mehrdad; Soda, Paolo; Ramella, Sara; Perrone, Giuseppe
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma
2021-01-01 Tortora, Matteo; Cordelli, Ermanno; Sicilia, Rosa; Miele, Marianna; Matteucci, Paolo; Iannello, Giulio; Ramella, Sara; Soda, Paolo
Device for subcutaneous administration
2021-01-01 Cordelli, Ermanno; Francini, Luisa; Piemonte, Vincenzo; Sicilia, Rosa; Manfrini, Silvia; Soda, Paolo
DISPOSITIVO PER SOMMINISTRAZIONE SOTTOCUTANEA
2021-01-01 Cordelli, E.; Francini, L.; Manfrini, S.; Piemonte, V.; Sicilia, R.; Soda, P.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients | 1-gen-2021 | Santucci, D; Faiella, E; Cordelli, E; Sicilia, R; de Felice, C; Beomonte Zobel, B; Iannello, G; Soda, P | |
3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study | 1-gen-2023 | Calabrese, A.; Santucci, D.; Gravina, M.; Faiella, E.; Cordelli, E.; Soda, P.; Iannello, G.; Sansone, C.; Zobel, B. B.; Catalano, C.; de Felice, C. | |
A decision support system for Type 1 Diabetes Mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity | 1-gen-2018 | Cordelli, E; Maulucci, G; De Spirito, M; Rizzi, A; Pitocco, D; Soda, P | |
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images | 1-gen-2021 | Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P | |
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer | 1-gen-2022 | Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P. | |
A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients | 1-gen-2018 | Ramella, S; Fiore, M; Greco, C; Cordelli, E; Sicilia, R; Merone, M; Molfese, E; Miele, M; Cornacchione, P; Ippolito, E; Iannello, G; D’Angelillo, Rm; Soda, P | |
A smart sensor architecture for eHealth applications | 1-gen-2018 | Cordelli, E.; Pennazza, G; Sabatini, M.; Santonico, M.; Vollero, L. | |
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study | 1-gen-2021 | Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio | |
An Open-Source Smart Sensor Architecture for Edge Computing in IoT Applications | 1-gen-2018 | Cordelli, E; Pennazza, G; Sabatini, M; Santonico, M; Vollero, L | |
Artificial intelligence meets diabetes at the micro-scale: forecasting complications and quantitatively mining insulin granules motions | 13-dic-2019 | Cordelli, Ermanno | |
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges | 1-gen-2023 | Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P. | |
Categorizing the Feature Space for Two-Class Imbalance Learning | 1-gen-2020 | Sicilia, R; Cordelli, E; Soda, P | |
CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI | 1-gen-2022 | Santucci, D.; Faiella, E.; Gravina, M.; Cordelli, E.; de Felice, C.; Beomonte Zobel, B.; Iannello, G.; Sansone, C.; Soda, P. | |
Color to grayscale staining pattern representation in IIF | 1-gen-2011 | Cordelli, E; Soda, P | |
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images | 1-gen-2015 | Soda, P; Acciai, L; Cordelli, E; Costantini, I; Sacconi, L; Pavone, Fs; Conti, V; Guerrini, R; Frasconi, P.; Iannello, G | |
Cross-topic Rumour Detection in the Health Domain | 1-gen-2019 | Sicilia, R; Merone, M; Valenti, R; Cordelli, E; D'Antoni, F; De Ruvo, V; Dragone, Pb; Esposito, S; Soda, P | |
Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer | 1-gen-2023 | Nibid, Lorenzo; Greco, Carlo; Cordelli, Ermanno; Sabarese, Giovanna; Fiore, Michele; Liu, Charles Z; Ippolito, Edy; Sicilia, Rosa; Miele, Marianna; Tortora, Matteo; Taffon, Chiara; Rakaee, Mehrdad; Soda, Paolo; Ramella, Sara; Perrone, Giuseppe | |
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma | 1-gen-2021 | Tortora, Matteo; Cordelli, Ermanno; Sicilia, Rosa; Miele, Marianna; Matteucci, Paolo; Iannello, Giulio; Ramella, Sara; Soda, Paolo | |
Device for subcutaneous administration | 1-gen-2021 | Cordelli, Ermanno; Francini, Luisa; Piemonte, Vincenzo; Sicilia, Rosa; Manfrini, Silvia; Soda, Paolo | |
DISPOSITIVO PER SOMMINISTRAZIONE SOTTOCUTANEA | 1-gen-2021 | Cordelli, E.; Francini, L.; Manfrini, S.; Piemonte, V.; Sicilia, R.; Soda, P. |