Bussola, Nicole
Bussola, Nicole
DSH
AI models for automated segmentation of engineered polycystic kidney tubules
2024-01-01 Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele
AI Slipping on Tiles: Data Leakage in Digital Pathology
2021-01-01 Bussola, Nicole; Marcolini, Alessia; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare
Cyst segmentation on kidney tubules by means of U-Net deep-learning models
2021-01-01 Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos; Viola, Vincenzo
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
2019-01-01 Bizzego, Andrea; Bussola, Nicole; Chierici, Marco; Maggio, Valerio; Francescatto, Margherita; Cima, Luca; Cristoforetti, Marco; Jurman, Giuseppe; Furlanello, Cesare
histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing
2022-01-01 Marcolini, Alessia; Bussola, Nicole; Arbitrio, Ernesto; Amgad, Mohamed; Jurman, Giuseppe; Furlanello, Cesare
Integrating deep and radiomics features in cancer bioimaging
2019-01-01 Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C.
Integrative Network Fusion: a multi-omics approach in molecular profiling
2020-01-01 Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare
Machine learning models for predicting endocrine disruption potential of environmental chemicals
2019-01-01 Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
Predictability of drug-induced liver injury by machine learning
2020-01-01 Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology
2021-01-01 Bussola, Nicole; Papa, Bruno; Melaiu, Ombretta; Castellano, Aurora; Fruci, Doriana; Jurman, Giuseppe
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| AI models for automated segmentation of engineered polycystic kidney tubules | 1-gen-2024 | Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele | |
| AI Slipping on Tiles: Data Leakage in Digital Pathology | 1-gen-2021 | Bussola, Nicole; Marcolini, Alessia; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare | |
| Cyst segmentation on kidney tubules by means of U-Net deep-learning models | 1-gen-2021 | Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos; Viola, Vincenzo | |
| Evaluating reproducibility of AI algorithms in digital pathology with DAPPER | 1-gen-2019 | Bizzego, Andrea; Bussola, Nicole; Chierici, Marco; Maggio, Valerio; Francescatto, Margherita; Cima, Luca; Cristoforetti, Marco; Jurman, Giuseppe; Furlanello, Cesare | |
| histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing | 1-gen-2022 | Marcolini, Alessia; Bussola, Nicole; Arbitrio, Ernesto; Amgad, Mohamed; Jurman, Giuseppe; Furlanello, Cesare | |
| Integrating deep and radiomics features in cancer bioimaging | 1-gen-2019 | Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C. | |
| Integrative Network Fusion: a multi-omics approach in molecular profiling | 1-gen-2020 | Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare | |
| Machine learning models for predicting endocrine disruption potential of environmental chemicals | 1-gen-2019 | Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare | |
| Predictability of drug-induced liver injury by machine learning | 1-gen-2020 | Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare | |
| Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology | 1-gen-2021 | Bussola, Nicole; Papa, Bruno; Melaiu, Ombretta; Castellano, Aurora; Fruci, Doriana; Jurman, Giuseppe |