157 citations · 161 across the 11 of their papers we have counts for
4 papers · 1 filter
Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis
Jingyu Hu, Giuseppe Tripodi, Reed Naidoo +2
Foundation models (FMs) have emerged as powerful representation extractors for medical data, yet their generalizability to datasets under distribution shift remains underexplored.…
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics
Swarnava Bhattacharyya, Umapada Pal, Tapabrata Chakraborti
Deep learning based diagnostic AI systems based on medical images are starting to provide similar performance as human experts. However these data hungry complex systems are inhere…
VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science
Youssef Abdalla, Marrisa Taub, Eleanor Hilton +7
Data scarcity in pharmaceutical research has led to reliance on labour-intensive trial-and-error approaches for development rather than data-driven methods. While Machine Learning…
Contrastive Fairness in Machine Learning
Tapabrata Chakraborti, Arijit Patra, Alison Noble
Was it fair that Harry was hired but not Barry? Was it fair that Pam was fired instead of Sam? How can one ensure fairness when an intelligent algorithm takes these decisions inste…