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COLANTONIO, SARA

COLANTONIO, SARA  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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Risultati 1 - 20 di 210 (tempo di esecuzione: 0.041 secondi).
Titolo Data di pubblicazione Autore(i) File
Boosting few-shot learning with disentangled self-supervised learning and meta-learning for medical image classification In corso di stampa Pachetti, E.; Tsaftaris, S. A.; Colantonio, S.
Connectivity-inspired network for context-aware recognition In corso di stampa Carloni, G.; Colantonio, S.
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning In corso di stampa Carloni, G.; Tsaftaris, S. A.; Colantonio, S.
A systematic review of few-shot learning in medical imaging 1-gen-2024 Pachetti, E; Colantonio, S
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.
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.
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.
Few-shot conditional learning: automatic and reliable device classification for medical test equipment 1-gen-2024 Pachetti, E.; Del Corso, G.; Bardelli, S.; 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.
Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models 1-gen-2024 Pachetti, E.; 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.
Multiomics approach for patient stratification and novel target identification in metastatic clear cell renal carcinoma (Meet-URO 31) 1-gen-2024 Stellato, Marco; Procopio, Giuseppe; Romei, Chiara; Colantonio, Sara; Cattaneo, Laura; Claps, Melanie; Guadalupi, Valentina; Sepe, Pierangela; Basso, Umberto; Buti, Sebastiano
NA DAtabase: generator of probabilistic synthetic geometrical shape dataset 1-gen-2024 Volpini, F.; Caudai, C.; Del Corso, G.; Colantonio, S.
Optimizing medical image segmentation using a priori knowledge in attention mechanism-enriched convolutional neural networks 1-gen-2024 Buongiorno, Rossana; Colantonio, Sara; Germanese, Danila; Ducange, Pietro
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.
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.
Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings 1-gen-2024 Pachetti, Eva; Colantonio, Sara
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.