Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
G. Schau, H. Ghani, E. A. Burlingame…·Y. H. Chang
This paper uses transfer learning to predict metastatic origin from H&E-stained tumor images, achieving higher accuracy than models trained on primary or metastatic tumors alone.
B. E. Johnson, A. L. Creason, J. M. Stommel…·J. W. Gray
This paper presents an OMS Atlas from serial biopsies of a metastatic breast cancer patient, linking clinical data to multi-omic and spatial profiles to study therapy-associated heterogeneity and resistance mechanisms.
G. F. Schau, E. A. Burlingame, G. Thibault…·Y. H. Chang
The paper introduces a deep learning model to predict the metastatic origin of secondary liver cancer from H&E stained tissue sections, achieving 90.2% accuracy comparable to expert pathologists.