COLANTONIO, SARA
COLANTONIO, SARA
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.
Exploiting causality signals in medical images: a pilot study with empirical results
2024 Carloni, Gianluca; Colantonio, Sara
Facial landmark identification and data preparation can significantly improve the extraction of newborns' facial features
2024 Del Corso, G.; Germanese, D.; Pascali, M. A.; Bardelli, S.; Cuttano, A.; Festante, F.; Guzzetta, A.; Rocchitelli, L.; Colantonio, S.
Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models
2024 Pachetti, E.; Colantonio, S.
3D-Vision-transformer stacking ensemble for assessing prostate cancer aggressiveness from T2w images
2023 Pachetti, E; Colantonio, S
A systematic review of few-shot learning in medical imaging
2023 Pachetti, E; Colantonio, S
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency
2023 Colantonio, S; Berti, A; Buongiorno, R; Del Corso, G; Pachetti, E; Pascali, Ma; Kalantzopoulos, C; Kalokyri, V; Kondylakis, H; Tachos, N; Fotiadis, D; Giannini, V; Mazzetti, S; Regge, D; Papanikolaou, N; Marias, K; Tsiknakis, M
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning
2023 Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning
2023 Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P
Causality-driven one-shot learning for prostate cancer grading from MRI
2023 Carloni, G; Pachetti, E; Colantonio, S
Computer vision tasks for ambient intelligence in children's health
2023 Germanese D.; Colantonio S.; Del Coco M.; Carcagni P.; Leo M.
Enhancing COVID-19 CT image segmentation: a comparative study of attention and recurrence in UNet models
2023 Buongiorno, R; Del Corso, G; Germanese, D; Colligiani, L; Python, L; Romei, C; 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.
Introduction to machine learning in medicine
2023 Buongiorno, R; Caudai, C; Colantonio, S; Germanese, D
La Green Therapy riduce lo stress psicologico e fisiologico: uno studio pilota in adolescenti con anoressia nervosa
2023 Olivia Curzio, Di; Billeci, Lucia; Belmonti, Vittorio; Colantonio, Sara; Cotrozzi, Lorenzo; Francesca De Pasquale, Carlotta; Morales, MARIA AURORA; Nali, Cristina; Pascali, MARIA ANTONIETTA; Venturi, Francesca; Tonacci, Alessandro; Zannoni, Nicola; e Sandra Maestro, Liliana Cori
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
Ambient Assisted Living: a scoping review of artificial intelligence models, domains, technology and concerns
2022 Jovanovic, M; Mitrov, G; Eftim, Zdravevski; Lameski, P; Colantonio, S; Kampel, M; Tellioglu, H; Florezrevuelta, F
Are active and assisted living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review
2022 Colantonio, S; Jovanovic, M; Zdravevski, E; Lameski, P; Tellioglu, H; Kampel, M; Florezrevuelta, F
Artificial Intelligence for chest imaging against COVID-19: an insight into image segmentation methods
2022 Buongiorno R.; Germanese D.; Colligiani L.; Fanni S.C.; Romei C.; Colantonio S.
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. | |
Exploiting causality signals in medical images: a pilot study with empirical results | 1-gen-2024 | Carloni, Gianluca; Colantonio, Sara | |
Facial landmark identification and data preparation can significantly improve the extraction of newborns' facial features | 1-gen-2024 | Del Corso, G.; Germanese, D.; Pascali, M. A.; Bardelli, S.; Cuttano, A.; Festante, F.; Guzzetta, A.; Rocchitelli, L.; Colantonio, S. | |
Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models | 1-gen-2024 | Pachetti, E.; Colantonio, S. | |
3D-Vision-transformer stacking ensemble for assessing prostate cancer aggressiveness from T2w images | 1-gen-2023 | Pachetti, E; Colantonio, S | |
A systematic review of few-shot learning in medical imaging | 1-gen-2023 | Pachetti, E; Colantonio, S | |
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency | 1-gen-2023 | Colantonio, S; Berti, A; Buongiorno, R; Del Corso, G; Pachetti, E; Pascali, Ma; Kalantzopoulos, C; Kalokyri, V; Kondylakis, H; Tachos, N; Fotiadis, D; Giannini, V; Mazzetti, S; Regge, D; Papanikolaou, N; Marias, K; Tsiknakis, M | |
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning | 1-gen-2023 | Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P | |
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning | 1-gen-2023 | Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P | |
Causality-driven one-shot learning for prostate cancer grading from MRI | 1-gen-2023 | Carloni, G; Pachetti, E; Colantonio, S | |
Computer vision tasks for ambient intelligence in children's health | 1-gen-2023 | Germanese D.; Colantonio S.; Del Coco M.; Carcagni P.; Leo M. | |
Enhancing COVID-19 CT image segmentation: a comparative study of attention and recurrence in UNet models | 1-gen-2023 | Buongiorno, R; Del Corso, G; Germanese, D; Colligiani, L; Python, L; Romei, C; 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. | |
Introduction to machine learning in medicine | 1-gen-2023 | Buongiorno, R; Caudai, C; Colantonio, S; Germanese, D | |
La Green Therapy riduce lo stress psicologico e fisiologico: uno studio pilota in adolescenti con anoressia nervosa | 1-gen-2023 | Olivia Curzio, Di; Billeci, Lucia; Belmonti, Vittorio; Colantonio, Sara; Cotrozzi, Lorenzo; Francesca De Pasquale, Carlotta; Morales, MARIA AURORA; Nali, Cristina; Pascali, MARIA ANTONIETTA; Venturi, Francesca; Tonacci, Alessandro; Zannoni, Nicola; e Sandra Maestro, Liliana Cori | |
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 | |
Ambient Assisted Living: a scoping review of artificial intelligence models, domains, technology and concerns | 1-gen-2022 | Jovanovic, M; Mitrov, G; Eftim, Zdravevski; Lameski, P; Colantonio, S; Kampel, M; Tellioglu, H; Florezrevuelta, F | |
Are active and assisted living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review | 1-gen-2022 | Colantonio, S; Jovanovic, M; Zdravevski, E; Lameski, P; Tellioglu, H; Kampel, M; Florezrevuelta, F | |
Artificial Intelligence for chest imaging against COVID-19: an insight into image segmentation methods | 1-gen-2022 | Buongiorno R.; Germanese D.; Colligiani L.; Fanni S.C.; Romei C.; Colantonio S. |