PASCALI, MARIA ANTONIETTA
PASCALI, MARIA ANTONIETTA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
A bridge between persistent homology and group equivariant non-expansive operators: theory and applications
2024 Conti, F.; Frosini, P.; Moroni, D.; Pascali, M. A.
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.
EchoLocator: an open source Python package for the standardisation of echographic images in multicentre analysis
2024 Del Corso, G.; De Rosa, L.; Pascali, M. A.; Faita, F.; Colantonio, S.
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.
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.
Harnessing topological machine learning in Raman spectroscopy: perspectives for Alzheimer’s disease detection via cerebrospinal fluid analysis
2024 Conti, F.; Banchelli, M.; Bessi, V.; Cecchi, C.; Chiti, F.; Colantonio, S.; D'Andrea, C.; de Angelis, M.; Moroni, D.; Nacmias, B.; Pascali, M. A.; Sorbi, S.; Matteini, P.
Radiomics-based reliable predictions of side effects after radiotherapy for prostate cancer
2024 Del Corso, G.; Pachetti, E.; Buongiorno, R.; Rodrigues, A. C.; Germanese, D.; Pascali, M. A.; Almeida, J.; Rodrigues, N.; Tsiknakis, M.; Papanikolaou, N.; Regge, D.; Marias, K.; Consortium, ProCAncer-I; 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
Analysis of sea surface temperature maps via topological machine learning
2023 Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A
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.
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.
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.
A topological machine learning pipeline for classification
2022 Conti, F; Moroni, D; Pascali, Ma
Augmented reality, artificial intelligence and machine learning in Industry 4.0: case studies at SI-Lab
2022 Bruno, A; Coscetti, S; Leone, Gr; Germanese, D; Magrini, M; Martinelli, M; Moroni, D; Pascali, Ma; Pieri, G; Reggiannini, M; Tampucci, M
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A bridge between persistent homology and group equivariant non-expansive operators: theory and applications | 1-gen-2024 | Conti, F.; Frosini, P.; Moroni, D.; Pascali, M. A. | |
| 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. | |
| EchoLocator: an open source Python package for the standardisation of echographic images in multicentre analysis | 1-gen-2024 | Del Corso, G.; De Rosa, L.; Pascali, M. A.; Faita, F.; Colantonio, S. | |
| 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. | |
| 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. | |
| Harnessing topological machine learning in Raman spectroscopy: perspectives for Alzheimer’s disease detection via cerebrospinal fluid analysis | 1-gen-2024 | Conti, F.; Banchelli, M.; Bessi, V.; Cecchi, C.; Chiti, F.; Colantonio, S.; D'Andrea, C.; de Angelis, M.; Moroni, D.; Nacmias, B.; Pascali, M. A.; Sorbi, S.; Matteini, P. | |
| Radiomics-based reliable predictions of side effects after radiotherapy for prostate cancer | 1-gen-2024 | Del Corso, G.; Pachetti, E.; Buongiorno, R.; Rodrigues, A. C.; Germanese, D.; Pascali, M. A.; Almeida, J.; Rodrigues, N.; Tsiknakis, M.; Papanikolaou, N.; Regge, D.; Marias, K.; Consortium, ProCAncer-I; 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 | |
| Analysis of sea surface temperature maps via topological machine learning | 1-gen-2023 | Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A | |
| 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. | |
| 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. | |
| 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. | |
| A topological machine learning pipeline for classification | 1-gen-2022 | Conti, F; Moroni, D; Pascali, Ma | |
| Augmented reality, artificial intelligence and machine learning in Industry 4.0: case studies at SI-Lab | 1-gen-2022 | Bruno, A; Coscetti, S; Leone, Gr; Germanese, D; Magrini, M; Martinelli, M; Moroni, D; Pascali, Ma; Pieri, G; Reggiannini, M; Tampucci, M |