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Nicole Bussola
Nicole Bussola
Verified email at mssm.edu
Title
Cited by
Cited by
Year
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
A Bizzego, N Bussola, M Chierici, V Maggio, M Francescatto, L Cima, ...
PLoS computational biology 15 (3), e1006269, 2019
642019
Integrating deep and radiomics features in cancer bioimaging
A Bizzego, N Bussola, D Salvalai, M Chierici, V Maggio, G Jurman, ...
2019 IEEE Conference on Computational Intelligence in Bioinformatics andá…, 2019
522019
Integrative network fusion: a multi-omics approach in molecular profiling
M Chierici, N Bussola, A Marcolini, M Francescatto, A ZandonÓ, ...
Frontiers in oncology 10, 1065, 2020
412020
Predictability of drug-induced liver injury by machine learning
M Chierici, M Francescatto, N Bussola, G Jurman, C Furlanello
Biology direct 15, 1-10, 2020
342020
AI slipping on tiles: Data leakage in digital pathology
N Bussola, A Marcolini, V Maggio, G Jurman, C Furlanello
International Conference on Pattern Recognition, 167-182, 2021
332021
histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing
A Marcolini, N Bussola, E Arbitrio, M Amgad, G Jurman, C Furlanello
SoftwareX 20, 101237, 2022
182022
Machine learning models for predicting endocrine disruption potential of environmental chemicals
M Chierici, M Giulini, N Bussola, G Jurman, C Furlanello
Journal of Environmental Science and Health, Part C 36 (4), 237-251, 2018
112018
Towards a scientific blockchain framework for reproducible data analysis
C Furlanello, M De Domenico, G Jurman, N Bussola
arXiv preprint arXiv:1707.06552, 2017
112017
Quantification of the immune content in neuroblastoma: Deep learning and topological data analysis in digital pathology
N Bussola, B Papa, O Melaiu, A Castellano, D Fruci, G Jurman
International Journal of Molecular Sciences 22 (16), 8804, 2021
72021
Not again! Data leakage in digital pathology
N Bussola, A Marcolini, V Maggio, G Jurman, C Furlanello
arXiv, 2019
62019
A weakly supervised deep learning framework for whole slide classification to facilitate digital pathology in animal study
N Bussola, J Xu, L Wu, L Gorini, Y Zhang, C Furlanello, W Tong
Chemical Research in Toxicology 36 (8), 1321-1331, 2023
52023
Cyst segmentation on kidney tubules by means of U-Net deep-learning models
S Monaco, N Bussola, S Butto, D Sona, D Apiletti, G Jurman, E Viola, ...
2021 IEEE International Conference on Big Data (Big Data), 3923-3926, 2021
42021
Visceral Adiposity and Progression of ADPKD: A Cohort Study of Patients from the TEMPO 3: 4 Trial
KL Nowak, F Moretti, N Bussola, CN Steele, AV Gregory, TL Kline, ...
American Journal of Kidney Diseases, 2024
32024
Evolving educational landscape in pathology: a comprehensive bibliometric and visual analysis including digital teaching and learning resources
L Cima, N Bussola, LA Hassell, TR Kiehl, C Schukow, N Zerbe, E Munari, ...
Journal of clinical pathology 77 (2), 87-95, 2024
32024
AI models for automated segmentation of engineered polycystic kidney tubules
S Monaco, N Bussola, S Butt˛, D Sona, F Giobergia, G Jurman, C Xinaris, ...
Scientific Reports 14 (1), 2847, 2024
12024
The development of artificial intelligence in the histological diagnosis of Inflammatory Bowel Disease (IBD-AI)
C Furlanello, N Bussola, N Merzi, GP Trapletti, M Cadei, R Del Sordo, ...
Digestive and Liver Disease, 2024
2024
Author Correction: AI models for automated segmentation of engineered polycystic kidney tubules
S Monaco, N Bussola, S Butt˛, D Sona, F Giobergia, G Jurman, C Xinaris, ...
Scientific Reports 14, 2024
2024
AI for Omics and Imaging Models in Precision Medicine and Toxicology
N Bussola
UniversitÓ degli studi di Trento, 2022
2022
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Articles 1–18