Nicole Bussola

According to our database, Nicole Bussola authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Fine-Tune, Don't Prompt, Your Language Model to Identify Biased Language in Clinical Notes.

Isotta Landi, Eugenia Alleva, Nicole Bussola, Rebecca M. Cohen, Sarah Nowlin, Leslee J. Shaw, Alexander W. Charney, Kimberly B. Glazer

CoRR, March, 2026

JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures.

Ariel Larey, Elay Dahan, Amit Bleiweiss, Raizy Kellerman, Guy Leib, Omri Nayshool, Dan Ofer, Tal Zinger, Dan Dominissini, Gideon Rechavi, Nicole Bussola, Simon Lee, Shane O'Connell, Dung Hoang, Marissa Wirth, Alexander W. Charney, Nati Daniel, Yoli Shavit

CoRR, February, 2026

2024

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, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni

CoRR, 2024

2022

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, December, 2022

2021

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

AI Slipping on Tiles: Data Leakage in Digital Pathology.

Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

Integrating deep and radiomics features in cancer bioimaging.

Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2017

Towards a scientific blockchain framework for reproducible data analysis.

Cesare Furlanello, Manlio De Domenico, Giuseppe Jurman, Nicole Bussola

CoRR, 2017