23 citations · 26 across the 5 of their papers we have counts for
3 papers · 1 filter
Generating Benchmark Health Data Using a Tabular Diffusion Transformer
Hao Yan, Lisa Pilgram, Dan Liu +3
Cross-Tabular Data Generation (CTDG) seeks to learn a generative model from multiple heterogeneous tables and produce new synthetic tabular datasets. However, existing synthetic ta…
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
Synthetic Data Generation for Augmenting Small Samples
Dan Liu, Samer El Kababji, Nicholas Mitsakakis +6
Small datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this…