Achieving sustained remission in severe asthma: goals, challenges, issues and opportunities
2025 Vatrella, A.; Maglio, A.
AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive Impairment
2024 Bibbò, Luigi; Bramanti, Alessia; Sharma and Francesco Cotroneo, Jatin
Tezepelumab for severe asthma: elevating current practice to recognize epithelial driven profiles
2024 Caminati, M.; Vatrella, A.; Rogliani, P.; Carpagnano, E.; Spanevello, A.; Senna, G.
Sustained remission induced by 2 years of treatment with benralizumab in patients with severe eosinophilic asthma and nasal polyposis
2024 Pelaia, C.; Crimi, C.; Benfante, A.; Caiaffa, M. F.; Campisi, R.; Candia, C.; Carpagnano, G. E.; Carrieri, I.; D'Amato, M.; Detoraki, A.; Barbaro, M. P. F.; Lombardo, N.; Macchia, L.; Maglio, A.; Minenna, E.; Nolasco, S.; Paglino, G.; Papia, F.; Ricciardi, L.; Scichilone, N.; Scioscia, G.; Spadaro, G.; Tondo, P.; Uletta Lionetti, S.; Valenti, G.; Vatrella, A.; Crimi, N.; Pelaia, G.
Type 2 severe asthma: pathophysiology and treatment with biologics
2024 Pelaia, C.; Melhorn, J.; Hinks, T. S. C.; Couillard, S.; Vatrella, A.; Pelaia, G.; Pavord, I. D.
Effectiveness of guselkumab in patients with facial and/or genital psoriasis: Interim analysis results at Week 12 from the GULLIVER study
2024 Bonifati, C; Lembo, S; Richetta, A G; Romanelli, M; Satolli, F; Corazza, M; Atzori, L; Lasagni, C; Potenza, C; Savoia, P; Bardazzi, F; Di Lernia, V G; Bianchi, L; Fabbrocini, G; Giofrè, C; Zichichi, L; Guarneri, C; Pallotta, S; Fargnoli, M C; Loconsole, F; Offidani, A; Burlando, M; Piaserico, S; Peris, K; Papini, M; Carrera, C G; Costanzo, A; Prignano, F; Bongiorno, R; Dapavo, P; Stingeni, L; Donini, M; Micali, G; Rongioletti, F; Stinco, G; Gramiccia, T; Cantini, G; Argenziano, G
Onfire 2023 Contest: what did we learn about real time fire detection from cameras?
2024 Gragnaniello, D.; Greco, A.; Sansone, C.; Vento, B.
Identification of Honokiol-Based Scaffold to Design Tankyrase 1/2 Inhibitors by In Silico and In Vitro Studies
2024 Di Micco, S.; Ruggiero, D.; Terracciano, S.; Bruno, I.; Cardullo, N.; Muccilli, V.; Tringali, C.; Bifulco, G.
Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network
2024 Khatun, Zakia; Jónsson, Halldór; Tsirilaki, Mariella; Maffulli, Nicola; Oliva, Francesco; Daval, Pauline; Tortorella, Francesco; Gargiulo, Paolo
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis
2025 Percannella, Gennaro; Petruzzello, Umberto; Tortorella, Francesco; Vento, Mario
Rising income inequality and the impact of r-g in the United States
2025 Abatemarco, Antonio; Lagomarsino, Elena; Spiganti, Alessandro
A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components
2021 Placidi, Giuseppe; Cinque, Luigi; Polsinelli, Matteo
Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction
2021 Placidi, Giuseppe; Avola, Danilo; Cinque, Luigi; Polsinelli, Matteo; Theodoridou, Eleni; Tavares, João Manuel R. S.
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI
2024 Placidi, Giuseppe; Cinque, Luigi; Foresti, Gian Luca; Galassi, Francesca; Mignosi, Filippo; Nappi, Michele; Polsinelli, Matteo
CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII
2024 Kocak, B.; Ponsiglione, A.; Stanzione, A.; Ugga, L.; Klontzas, M. E.; Cannella, R.; Cuocolo, R.
Fatigue trajectories by wearable remote monitoring of breast cancer patients during radiotherapy
2024 Barillaro, A.; Feoli, C.; Tramontano, A.; Comerci, M.; Caroprese, M.; Cuocolo, R.; Tamburis, O.; Petrazzuoli, M.; D'Arienzo, M. A.; Farella, A.; Oliviero, C.; Clemente, S.; Cella, L.; Magliulo, M.; Conson, M.; Pacelli, R.
Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages
2024 Meddeb, A.; Luken, S.; Busch, F.; Adams, L.; Ugga, L.; Koltsakis, E.; Tzortzakakis, A.; Jelassi, S.; Dkhil, I.; Klontzas, M. E.; Triantafyllou, M.; Kocak, B.; Yuzkan, S.; Zhang, L.; Hu, B.; Andreychenko, A.; Yurievich, E. A.; Logunova, T.; Morakote, W.; Angkurawaranon, S.; Makowski, M. R.; Wattjes, M. P.; Cuocolo, R.; Bressem, K.
Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare
2024 Almujally, Nouf Abdullah; Alzahrani, Abdulrahman; Hakeem, Abeer M.; Attiah, Afraa; Umer, Muhammad; Alsubai, Shtwai; Polsinelli, Matteo; Ashraf, Imran
Large language models for structured reporting in radiology: past, present, and future
2024 Busch, F.; Hoffmann, L.; dos Santos, D. P.; Makowski, M. R.; Saba, L.; Prucker, P.; Hadamitzky, M.; Navab, N.; Kather, J. N.; Truhn, D.; Cuocolo, R.; Adams, L. C.; Bressem, K. K.
Siamese network to assess scanner-related contrast variability in MRI
2024 Polsinelli, Matteo; Li, Hongwei Bran; Mignosi, Filippo; Zhang, Li; Placidi, Giuseppe
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Achieving sustained remission in severe asthma: goals, challenges, issues and opportunities | 1-gen-2025 | Vatrella, A.; Maglio, A. | |
| AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive Impairment | 1-gen-2024 | Bibbò, Luigi; Bramanti, Alessia; Sharma and Francesco Cotroneo, Jatin | |
| Tezepelumab for severe asthma: elevating current practice to recognize epithelial driven profiles | 1-gen-2024 | Caminati, M.; Vatrella, A.; Rogliani, P.; Carpagnano, E.; Spanevello, A.; Senna, G. | |
| Sustained remission induced by 2 years of treatment with benralizumab in patients with severe eosinophilic asthma and nasal polyposis | 1-gen-2024 | Pelaia, C.; Crimi, C.; Benfante, A.; Caiaffa, M. F.; Campisi, R.; Candia, C.; Carpagnano, G. E.; Carrieri, I.; D'Amato, M.; Detoraki, A.; Barbaro, M. P. F.; Lombardo, N.; Macchia, L.; Maglio, A.; Minenna, E.; Nolasco, S.; Paglino, G.; Papia, F.; Ricciardi, L.; Scichilone, N.; Scioscia, G.; Spadaro, G.; Tondo, P.; Uletta Lionetti, S.; Valenti, G.; Vatrella, A.; Crimi, N.; Pelaia, G. | |
| Type 2 severe asthma: pathophysiology and treatment with biologics | 1-gen-2024 | Pelaia, C.; Melhorn, J.; Hinks, T. S. C.; Couillard, S.; Vatrella, A.; Pelaia, G.; Pavord, I. D. | |
| Effectiveness of guselkumab in patients with facial and/or genital psoriasis: Interim analysis results at Week 12 from the GULLIVER study | 1-gen-2024 | Bonifati, C; Lembo, S; Richetta, A G; Romanelli, M; Satolli, F; Corazza, M; Atzori, L; Lasagni, C; Potenza, C; Savoia, P; Bardazzi, F; Di Lernia, V G; Bianchi, L; Fabbrocini, G; Giofrè, C; Zichichi, L; Guarneri, C; Pallotta, S; Fargnoli, M C; Loconsole, F; Offidani, A; Burlando, M; Piaserico, S; Peris, K; Papini, M; Carrera, C G; Costanzo, A; Prignano, F; Bongiorno, R; Dapavo, P; Stingeni, L; Donini, M; Micali, G; Rongioletti, F; Stinco, G; Gramiccia, T; Cantini, G; Argenziano, G | |
| Onfire 2023 Contest: what did we learn about real time fire detection from cameras? | 1-gen-2024 | Gragnaniello, D.; Greco, A.; Sansone, C.; Vento, B. | |
| Identification of Honokiol-Based Scaffold to Design Tankyrase 1/2 Inhibitors by In Silico and In Vitro Studies | 1-gen-2024 | Di Micco, S.; Ruggiero, D.; Terracciano, S.; Bruno, I.; Cardullo, N.; Muccilli, V.; Tringali, C.; Bifulco, G. | |
| Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network | 1-gen-2024 | Khatun, Zakia; Jónsson, Halldór; Tsirilaki, Mariella; Maffulli, Nicola; Oliva, Francesco; Daval, Pauline; Tortorella, Francesco; Gargiulo, Paolo | |
| A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis | 1-gen-2025 | Percannella, Gennaro; Petruzzello, Umberto; Tortorella, Francesco; Vento, Mario | |
| Rising income inequality and the impact of r-g in the United States | 1-gen-2025 | Abatemarco, Antonio; Lagomarsino, Elena; Spiganti, Alessandro | |
| A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components | 1-gen-2021 | Placidi, Giuseppe; Cinque, Luigi; Polsinelli, Matteo | |
| Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction | 1-gen-2021 | Placidi, Giuseppe; Avola, Danilo; Cinque, Luigi; Polsinelli, Matteo; Theodoridou, Eleni; Tavares, João Manuel R. S. | |
| A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI | 1-gen-2024 | Placidi, Giuseppe; Cinque, Luigi; Foresti, Gian Luca; Galassi, Francesca; Mignosi, Filippo; Nappi, Michele; Polsinelli, Matteo | |
| CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII | 1-gen-2024 | Kocak, B.; Ponsiglione, A.; Stanzione, A.; Ugga, L.; Klontzas, M. E.; Cannella, R.; Cuocolo, R. | |
| Fatigue trajectories by wearable remote monitoring of breast cancer patients during radiotherapy | 1-gen-2024 | Barillaro, A.; Feoli, C.; Tramontano, A.; Comerci, M.; Caroprese, M.; Cuocolo, R.; Tamburis, O.; Petrazzuoli, M.; D'Arienzo, M. A.; Farella, A.; Oliviero, C.; Clemente, S.; Cella, L.; Magliulo, M.; Conson, M.; Pacelli, R. | |
| Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages | 1-gen-2024 | Meddeb, A.; Luken, S.; Busch, F.; Adams, L.; Ugga, L.; Koltsakis, E.; Tzortzakakis, A.; Jelassi, S.; Dkhil, I.; Klontzas, M. E.; Triantafyllou, M.; Kocak, B.; Yuzkan, S.; Zhang, L.; Hu, B.; Andreychenko, A.; Yurievich, E. A.; Logunova, T.; Morakote, W.; Angkurawaranon, S.; Makowski, M. R.; Wattjes, M. P.; Cuocolo, R.; Bressem, K. | |
| Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare | 1-gen-2024 | Almujally, Nouf Abdullah; Alzahrani, Abdulrahman; Hakeem, Abeer M.; Attiah, Afraa; Umer, Muhammad; Alsubai, Shtwai; Polsinelli, Matteo; Ashraf, Imran | |
| Large language models for structured reporting in radiology: past, present, and future | 1-gen-2024 | Busch, F.; Hoffmann, L.; dos Santos, D. P.; Makowski, M. R.; Saba, L.; Prucker, P.; Hadamitzky, M.; Navab, N.; Kather, J. N.; Truhn, D.; Cuocolo, R.; Adams, L. C.; Bressem, K. K. | |
| Siamese network to assess scanner-related contrast variability in MRI | 1-gen-2024 | Polsinelli, Matteo; Li, Hongwei Bran; Mignosi, Filippo; Zhang, Li; Placidi, Giuseppe |
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