2 papers
q-bio.QM2026
TIAgent: From Natural Language to Grounded Agentic Workflows for Computational Pathology
Aakash Madhav Rao, Mark Eastwood, Danielle Belgrave +1
Computational pathology (CPath) analyses increasingly depend on multi-step computational workflows that require substantial programming expertise, limiting their accessibility to p…
eess.IV2024
Improving text-conditioned latent diffusion for cancer pathology
Aakash Madhav Rao, Debayan Gupta
The development of generative models in the past decade has allowed for hyperrealistic data synthesis. While potentially beneficial, this synthetic data generation process has been…