Towards a scientific blockchain framework for reproducible data analysis. - Cesare Furlanello; Manlio De Domenico; Giuseppe Jurman; Nicole Bussola (CoRR, 2017)

Integrating deep and radiomics features in cancer bioimaging. - Andrea Bizzego; Nicole Bussola; D. Salvalai; Marco Chierici; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (CIBCB, 2019)

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. - Andrea Bizzego; Nicole Bussola; Marco Chierici; Valerio Maggio; Margherita Francescatto; Luca Cima; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (PLoS Comput. Biol., 2019)

AI Slipping on Tiles: Data Leakage in Digital Pathology. - Nicole Bussola; Alessia Marcolini; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (ICPR Workshops (1), 2020)

Cyst segmentation on kidney tubules by means of U-Net deep-learning models. - Simone Monaco; Nicole Bussola; Sara Buttò; Diego Sona; Daniele Apiletti; Giuseppe Jurman; Elisa Viola; Marco Chierici; Christodoulos Xinaris; Vincenzo Viola (IEEE BigData, 2021)

histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing. - Alessia Marcolini; Nicole Bussola; Ernesto Arbitrio; Mohamed Amgad; Giuseppe Jurman; Cesare Furlanello (SoftwareX, 2022)

Generative Large Language Models are autonomous practitioners of evidence-based medicine. - Akhil Vaid; Joshua Lampert; Juhee Lee; Ashwin Sawant; Donald Apakama; Ankit Sakhuja; Ali Soroush; Denise Lee; Isotta Landi; Nicole Bussola; Ismail Nabeel; Robbie Freeman; et al. (CoRR, 2024)