CARLONI, GIANLUCA
CARLONI, GIANLUCA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
2024 Xue, Y; Du, Y; Carloni, G; Pachetti, E; Jordan, C; Tsaftaris, Sa
Connectivity-inspired network for context-aware recognition
2024 Carloni, G.; Colantonio, S.
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
2024 Carloni, G.; Tsaftaris, S. A.; Colantonio, S.
Exploiting causality signals in medical images: a pilot study with empirical results
2024 Carloni, Gianluca; Colantonio, Sara
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment
2024 Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Conti, F.; Del Corso, G.; Germanese, D.; Moroni, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S.
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
2024 Mylona, E.; Zaridis, D. I.; Kalantzopoulos, C.; Tachos, N. S.; Regge, D.; Papanikolaou, N.; Tsiknakis, M.; Marias, K.; Marquez, R.; Henne, T.; Saillant, C.; Mora, J. M.; Pastor, A. J.; Agraniotis, D.; Pollalis, C.; Giavri, Z.; Hernandez, W.; Correia, J.; Bridge, C.; Kalpathy-Cramer, J.; Carloni, G.; Berti, A.; Germanese, D.; del Corso, G.; Pachetti, E.; Pascali, M. A.; Colantonio, S.; Napolitano, V.; Maimone, G.; Cappello, G.; Mazzetti, S.; Giannini, V.; García-Martí, G.; Jacobs, T.; Doran, S.; Ribeiro, A.; Vit, S.; Emsley, R.; Koh, D. M.; Georgios, G.; Vasilis, K.; Slidevska, K.; Untanas, A.; Briediene, R.; Usinskiene, J.; Vilanova, J. C.; Karcaaltincaba, M.; Atak, F.; Karaosmanoglu, A. D.; Özmen, M.; Akata, D.; Nan, ; Mendola, V.; Tumminello, L.; Aringhieri, G.; Neri, E.; Marfil, M.; Navarro, S.; Ribas, G.; Cerdá-Alberich, L.; Martí-Bonmatí, L.; Futterer, J.; Twilt, J. J.; Saha, A.; de Rooij, M.; Huisman, H.; Chambel, M.; Rodrigues, N.; Rodrigues, A. C.; Verde, A. C.; de Almeida, J. G.; Dimitriadis, A.; Kalliatakis, G.; Trivizakis, E.; Kalokyri, V.; Sfakianakis, S.; Fotiadis, D. I.; Kalantzopoulos, C.; Zaridis, D. I.; Fotiadis, D. I.
Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms
2023 Carloni G.; Garibaldi C.; Marvaso G.; Volpe S.; Zaffaroni M.; Pepa M.; Isaksson L.J.; Colombo F.; Durante S.; Lo Presti G.; Raimondi S.; Spaggiari L.J.; de Marinis F.; Piperno G.; Vigorito S.; Gandini S.; Cremonesi M.; Positano V.; JereczekFossa B.A.
Causality-driven one-shot learning for prostate cancer grading from MRI
2023 Carloni, G; Pachetti, E; Colantonio, S
Exploring the potentials and challenges of AI in supporting clinical diagnostics and remote assistance for the health and well-being of individuals
2023 Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Del Corso G.; Germanese D.; Pachetti E.; Pascali M.A.; Colantonio S.
Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals
2023 Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Del Corso, G.; Germanese, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S.
On the applicability of prototypical part learning in medical images: breast masses classification using ProtoPNet
2023 Carloni G.; Berti A.; Iacconi C.; Pascali M.A.; Colantonio S.
The role of causality in explainable artificial intelligence
2023 Carloni, G; Berti, A; Colantonio, S
Data models for an imaging bio-bank for colorectal, prostate and gastric cancer: the NAVIGATOR project
2022 Berti, A; Carloni, G; Colantonio, S; Pascali, Ma; Manghi, P; Pagano, P; Buongiorno, R; Pachetti, E; Caudai, C; Di Gangi, D; Carlini, E; Falaschi, Z; Ciarrocchi, E; Neri, E; Bertelli, E; Miele, V; Carpi, R; Bagnacci, G; Di Meglio, N; Mazzei, Ma; Barucci, A
SI-Lab annual research report 2021
2022 Righi, M; Leone, GIUSEPPE RICCARDO; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, ERCAN ENGIN; Leporini, B; Magrini, M; Paradisi, P; Pascali, MARIA ANTONIETTA; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Berti, A; Bruno, A; Buongiorno, R; Carloni, G; Conti, F; Germanese, D; Ignesti, G; Matarese, F; Omrani, A; Pachetti, E; Papini, O; Benassi, A; Bertini, G; Coltelli, P; Tarabella, L; Straface, S; Salvetti, O; Moroni, D
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement | 1-gen-2024 | Xue, Y; Du, Y; Carloni, G; Pachetti, E; Jordan, C; Tsaftaris, Sa | |
| Connectivity-inspired network for context-aware recognition | 1-gen-2024 | Carloni, G.; Colantonio, S. | |
| CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning | 1-gen-2024 | Carloni, G.; Tsaftaris, S. A.; Colantonio, S. | |
| Exploiting causality signals in medical images: a pilot study with empirical results | 1-gen-2024 | Carloni, Gianluca; Colantonio, Sara | |
| From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment | 1-gen-2024 | Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Conti, F.; Del Corso, G.; Germanese, D.; Moroni, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S. | |
| Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences | 1-gen-2024 | Mylona, E.; Zaridis, D. I.; Kalantzopoulos, C.; Tachos, N. S.; Regge, D.; Papanikolaou, N.; Tsiknakis, M.; Marias, K.; Marquez, R.; Henne, T.; Saillant, C.; Mora, J. M.; Pastor, A. J.; Agraniotis, D.; Pollalis, C.; Giavri, Z.; Hernandez, W.; Correia, J.; Bridge, C.; Kalpathy-Cramer, J.; Carloni, G.; Berti, A.; Germanese, D.; del Corso, G.; Pachetti, E.; Pascali, M. A.; Colantonio, S.; Napolitano, V.; Maimone, G.; Cappello, G.; Mazzetti, S.; Giannini, V.; García-Martí, G.; Jacobs, T.; Doran, S.; Ribeiro, A.; Vit, S.; Emsley, R.; Koh, D. M.; Georgios, G.; Vasilis, K.; Slidevska, K.; Untanas, A.; Briediene, R.; Usinskiene, J.; Vilanova, J. C.; Karcaaltincaba, M.; Atak, F.; Karaosmanoglu, A. D.; Özmen, M.; Akata, D.; Nan, ; Mendola, V.; Tumminello, L.; Aringhieri, G.; Neri, E.; Marfil, M.; Navarro, S.; Ribas, G.; Cerdá-Alberich, L.; Martí-Bonmatí, L.; Futterer, J.; Twilt, J. J.; Saha, A.; de Rooij, M.; Huisman, H.; Chambel, M.; Rodrigues, N.; Rodrigues, A. C.; Verde, A. C.; de Almeida, J. G.; Dimitriadis, A.; Kalliatakis, G.; Trivizakis, E.; Kalokyri, V.; Sfakianakis, S.; Fotiadis, D. I.; Kalantzopoulos, C.; Zaridis, D. I.; Fotiadis, D. I. | |
| Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms | 1-gen-2023 | Carloni G.; Garibaldi C.; Marvaso G.; Volpe S.; Zaffaroni M.; Pepa M.; Isaksson L.J.; Colombo F.; Durante S.; Lo Presti G.; Raimondi S.; Spaggiari L.J.; de Marinis F.; Piperno G.; Vigorito S.; Gandini S.; Cremonesi M.; Positano V.; JereczekFossa B.A. | |
| Causality-driven one-shot learning for prostate cancer grading from MRI | 1-gen-2023 | Carloni, G; Pachetti, E; Colantonio, S | |
| Exploring the potentials and challenges of AI in supporting clinical diagnostics and remote assistance for the health and well-being of individuals | 1-gen-2023 | Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Del Corso G.; Germanese D.; Pachetti E.; Pascali M.A.; Colantonio S. | |
| Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals | 1-gen-2023 | Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Del Corso, G.; Germanese, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S. | |
| On the applicability of prototypical part learning in medical images: breast masses classification using ProtoPNet | 1-gen-2023 | Carloni G.; Berti A.; Iacconi C.; Pascali M.A.; Colantonio S. | |
| The role of causality in explainable artificial intelligence | 1-gen-2023 | Carloni, G; Berti, A; Colantonio, S | |
| Data models for an imaging bio-bank for colorectal, prostate and gastric cancer: the NAVIGATOR project | 1-gen-2022 | Berti, A; Carloni, G; Colantonio, S; Pascali, Ma; Manghi, P; Pagano, P; Buongiorno, R; Pachetti, E; Caudai, C; Di Gangi, D; Carlini, E; Falaschi, Z; Ciarrocchi, E; Neri, E; Bertelli, E; Miele, V; Carpi, R; Bagnacci, G; Di Meglio, N; Mazzei, Ma; Barucci, A | |
| SI-Lab annual research report 2021 | 1-gen-2022 | Righi, M; Leone, GIUSEPPE RICCARDO; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, ERCAN ENGIN; Leporini, B; Magrini, M; Paradisi, P; Pascali, MARIA ANTONIETTA; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Berti, A; Bruno, A; Buongiorno, R; Carloni, G; Conti, F; Germanese, D; Ignesti, G; Matarese, F; Omrani, A; Pachetti, E; Papini, O; Benassi, A; Bertini, G; Coltelli, P; Tarabella, L; Straface, S; Salvetti, O; Moroni, D |