Erik Ames Burlingame
Affiliations: | Oregon Health and Science University, Portland, OR |
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| Burlingame E, Ternes L, Lin JR, et al. (2023) 3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding. Frontiers in Bioinformatics. 3: 1275402 |
| Schapiro D, Yapp C, Sokolov A, et al. (2022) MITI minimum information guidelines for highly multiplexed tissue images. Nature Methods. 19: 262-267 |
| Johnson BE, Creason AL, Stommel JM, et al. (2022) An omic and multidimensional spatial atlas from serial biopsies of an evolving metastatic breast cancer. Cell Reports. Medicine. 3: 100525 |
| Vizcarra JC, Burlingame EA, et al. (2021) A community-based approach to image analysis of cells, tissues and tumors. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 95: 102013 |
| Burlingame EA, Eng J, Thibault G, et al. (2021) Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms. Cell Reports Methods. 1 |
| Dietz MS, Sutton TL, Walker BS, et al. (2021) Relevance of circulating hybrid cells as a non-invasive biomarker for myriad solid tumors. Scientific Reports. 11: 13630 |
| Schau GF, Burlingame EA, Thibault G, et al. (2020) Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin. Journal of Medical Imaging (Bellingham, Wash.). 7: 012706 |
| Burlingame EA, McDonnell M, Schau GF, et al. (2020) SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning. Scientific Reports. 10: 17507 |
| Chang YH, Chin K, Thibault G, et al. (2020) RESTORE: Robust intEnSiTy nORmalization mEthod for multiplexed imaging. Communications Biology. 3: 111 |
| Schau GF, Burlingame EA, Thibault G, et al. (2020) Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin Journal of Medical Imaging. 7: 12706 |