CAUDAI, CLAUDIA
CAUDAI, CLAUDIA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Adaptive machine learning approach for importance evaluation of multimodal breast cancer radiomic features
2024 Del Corso, G.; Germanese, D.; Caudai, C.; Anastasi, G.; Belli, P.; Formica, A.; Nicolucci, A.; Palma, S.; Pascali, M. A.; Pieroni, S.; Trombadori, C.; Colantonio, S.; Franchini, M.; Molinaro, S.
Advancing sustainability: research initiatives at the Signals and Images Lab
2024 Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M.
ANN uncertainty estimates in assessing fatty liver content from ultrasound data
2024 Del Corso, G.; Pascali, M. A.; Caudai, C.; De Rosa, L.; Salvati, A.; Mancini, M.; Ghiadoni, L.; Bonino, F.; Brunetto, M. R.; Colantonio, S.; Faita, F.
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.
NA DAtabase: generator of probabilistic synthetic geometrical shape dataset
2024 Volpini, F.; Caudai, C.; Del Corso, G.; Colantonio, S.
Stretch your tentacles, POLPO-net: a POLymorphic PrObabilistic approach to greedily approximate model uncertainties
2024 Del Corso, G.; Caudai, C.; Kuruoglu, E. E.; Colantonio, S.
U-ProBE: A graphical Python interface to handle uncertainties in deep learning models
2024 Bandini, Lorenzo; DEL CORSO, Giulio; Caudai, Claudia
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.
Introduction to machine learning in medicine
2023 Buongiorno, R; Caudai, C; Colantonio, S; Germanese, D
Medical waste sorting: a computer vision approach for assisted primary sorting
2023 Bruno, A; Caudai, C; Leone, Gr; Martinelli, M; Moroni, D; Crotti, F
Mediterranean extensive green roof self-sustainability mediated by substrate composition and plant strategy
2023 Vannucchi, F.; Bibbiani, C.; Caudai, C.; Bretzel, F.
Raman spectroscopy and topological machine learning for cancer grading
2023 Conti F.; D'Acunto M.; Caudai C.; Colantonio C.; Gaeta R.; Moroni D.; Pascali M.A.
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
Low productivity substrate leads to functional diversification of green roof plant assemblage
2022 Vannucchi, F; Buoncristiano, A; Scatena, M; Caudai, C; Bretzel, F
NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients
2022 Borgheresi, R; Barucci, A; Colantonio, S; Aghakhanyan, G; Assante, M; Bertelli, E; Carlini, E; Carpi, R; Caudai, C; Cavallero, D; Cioni, D; Cirillo, R; Colcelli, V; Dell'Amico, A; Di Gangi, D; Erba, Pa; Faggioni, L; Falaschi, Z; Gabelloni, M; Gini, R; Lelii, L; Liò, P; Lorito, A; Lucarini, S; Manghi, P; Mangiacrapa, F; Marzi, C; Mazzei, Ma; Mercatelli, L; Mirabile, A; Mungai, F; Miele, V; Olmastroni, M; Pagano, P; Paiar, F; Panichi, G; Pascali, Ma; Pasquinelli, F; Shortrede, Je; Tumminello, L; Volterrani, L; Neri, E; on behalf of the NAVIGATOR Consortium, Group
Short-term abandonment versus mowing in a mediterranean-temperate meadow: effects on floristic composition, plant functionality, and soil properties - a case study
2022 Vannucchi, F; Lazzeri, V; Rosellini, I; Scatena, M; Caudai, C; Bretzel, F
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
A deep learning approach for hepatic steatosis estimation from ultrasound imaging
2021 Colantonio, S; Salvati, A; Caudai, C; Bonino, F; De Rosa, L; Pascali, Ma; Germanese, D; Brunetto, Mr; Faita, F
AI applications in functional genomics
2021 Caudai C.; Galizia A.; Geraci F.; Le Pera L.; Morea V.; Salerno E.; Via A.; Colombo T.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Adaptive machine learning approach for importance evaluation of multimodal breast cancer radiomic features | 1-gen-2024 | Del Corso, G.; Germanese, D.; Caudai, C.; Anastasi, G.; Belli, P.; Formica, A.; Nicolucci, A.; Palma, S.; Pascali, M. A.; Pieroni, S.; Trombadori, C.; Colantonio, S.; Franchini, M.; Molinaro, S. | |
| Advancing sustainability: research initiatives at the Signals and Images Lab | 1-gen-2024 | Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M. | |
| ANN uncertainty estimates in assessing fatty liver content from ultrasound data | 1-gen-2024 | Del Corso, G.; Pascali, M. A.; Caudai, C.; De Rosa, L.; Salvati, A.; Mancini, M.; Ghiadoni, L.; Bonino, F.; Brunetto, M. R.; Colantonio, S.; Faita, F. | |
| 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. | |
| NA DAtabase: generator of probabilistic synthetic geometrical shape dataset | 1-gen-2024 | Volpini, F.; Caudai, C.; Del Corso, G.; Colantonio, S. | |
| Stretch your tentacles, POLPO-net: a POLymorphic PrObabilistic approach to greedily approximate model uncertainties | 1-gen-2024 | Del Corso, G.; Caudai, C.; Kuruoglu, E. E.; Colantonio, S. | |
| U-ProBE: A graphical Python interface to handle uncertainties in deep learning models | 29-nov-2024 | Bandini, Lorenzo; DEL CORSO, Giulio; Caudai, Claudia | |
| 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. | |
| Introduction to machine learning in medicine | 1-gen-2023 | Buongiorno, R; Caudai, C; Colantonio, S; Germanese, D | |
| Medical waste sorting: a computer vision approach for assisted primary sorting | 1-gen-2023 | Bruno, A; Caudai, C; Leone, Gr; Martinelli, M; Moroni, D; Crotti, F | |
| Mediterranean extensive green roof self-sustainability mediated by substrate composition and plant strategy | 1-gen-2023 | Vannucchi, F.; Bibbiani, C.; Caudai, C.; Bretzel, F. | |
| Raman spectroscopy and topological machine learning for cancer grading | 1-gen-2023 | Conti F.; D'Acunto M.; Caudai C.; Colantonio C.; Gaeta R.; Moroni D.; Pascali M.A. | |
| 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 | |
| Low productivity substrate leads to functional diversification of green roof plant assemblage | 1-gen-2022 | Vannucchi, F; Buoncristiano, A; Scatena, M; Caudai, C; Bretzel, F | |
| NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients | 1-gen-2022 | Borgheresi, R; Barucci, A; Colantonio, S; Aghakhanyan, G; Assante, M; Bertelli, E; Carlini, E; Carpi, R; Caudai, C; Cavallero, D; Cioni, D; Cirillo, R; Colcelli, V; Dell'Amico, A; Di Gangi, D; Erba, Pa; Faggioni, L; Falaschi, Z; Gabelloni, M; Gini, R; Lelii, L; Liò, P; Lorito, A; Lucarini, S; Manghi, P; Mangiacrapa, F; Marzi, C; Mazzei, Ma; Mercatelli, L; Mirabile, A; Mungai, F; Miele, V; Olmastroni, M; Pagano, P; Paiar, F; Panichi, G; Pascali, Ma; Pasquinelli, F; Shortrede, Je; Tumminello, L; Volterrani, L; Neri, E; on behalf of the NAVIGATOR Consortium, Group | |
| Short-term abandonment versus mowing in a mediterranean-temperate meadow: effects on floristic composition, plant functionality, and soil properties - a case study | 1-gen-2022 | Vannucchi, F; Lazzeri, V; Rosellini, I; Scatena, M; Caudai, C; Bretzel, F | |
| 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 | |
| A deep learning approach for hepatic steatosis estimation from ultrasound imaging | 1-gen-2021 | Colantonio, S; Salvati, A; Caudai, C; Bonino, F; De Rosa, L; Pascali, Ma; Germanese, D; Brunetto, Mr; Faita, F | |
| AI applications in functional genomics | 1-gen-2021 | Caudai C.; Galizia A.; Geraci F.; Le Pera L.; Morea V.; Salerno E.; Via A.; Colombo T. |