Erik Ames Burlingame
Erik Ames Burlingame
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MITI minimum information guidelines for highly multiplexed tissue images
Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms
Relevance of circulating hybrid cells as a non‑invasive biomarker for myriad solid tumors
Transfer learning for inference of metastatic origin from whole slide histology
SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning
DISSECT: DISentangle SharablE ConTent for Multimodal Integration and Crosswise-mapping
RESTORE: Robust intEnSiTy nORmalization mEthod for multiplexed imaging
Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin
Balanced learning of cell state representations
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks
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