Lisa Pilgram

According to our database, Lisa Pilgram authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models.

Dan Liu, Samer El Kababji, Nicholas Mitsakakis, Lisa Pilgram, Thomas Walters, Mark Clemons, Gregory R. Pond, Alaa El-Hussuna, Khaled El Emam

BMC Medical Informatics Decis. Mak., December, 2025

An assessment of synthetic data generation, use and disclosure under Canadian privacy regulations.

Lisa Pilgram, Anita Fineberg, Elizabeth Jonker, Khaled El Emam

AI Ethics, December, 2025

Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer.

Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Hilton, Marie-France Savard, Andréanne Leblanc, Lois Sheperd, Bingshu E. Chen, John M. S. Bartlett, Karen J. Taylor, Jane Bayani, Sarah L. Barker, Melanie Spears, Cornelis J. H. van der Velde, Elma Meershoek-Klein Kranenbarg, Luc Dirix, Elizabeth Mallon, Annette Hasenburg, Christos Markopoulos, Lamin Juwara, Fida K. Dankar, Mark Clemons, Khaled El Emam

CoRR, September, 2025

Synthetic Data Generation for Augmenting Small Samples.

Dan Liu, Samer El Kababji, Nicholas Mitsakakis, Lisa Pilgram, Thomas Walters, Mark Clemons, Greg Pond, Alaa El-Hussuna, Khaled El Emam

CoRR, January, 2025

A consensus privacy metrics framework for synthetic data.

Lisa Pilgram, Fida Kamal Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam

Patterns, 2025

Protecting patient privacy in tabular synthetic health data: a regulatory perspective.

Lisa Pilgram, Haksoo Ko, Adeline Tung, Khaled El Emam

npj Digit. Medicine, 2025

Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.

Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam

J. Am. Medical Informatics Assoc., 2025

2023

Utility-Preserving Anonymization in a Real-World Scenario: Evidence from the German Chronic Kidney Disease (GCKD) Study.

Lisa Pilgram, Elke Schäffner, Kai-Uwe Eckardt, Fabian Prasser

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023