Yukako Yagi

2007-2008 Harvard Medical School, Pathology, Instructor
2008-2016 Harvard Medical School, Pathology, Assistant Professor
2016- Memorial Sloan Kettering Cancer, Director of Pathology Digital Imaging, Department of Pathology
2017- Visiting Associate Professor, IIR, Tokyo Institute of Technology

Field of Specialization

Advanced Research Center for Social Information Science and Technology(IIR, Tokyo Tech)
Memorial Sloan Kettering Cancer(U.S.A)



Research Hub Group :Social Implementation international hub group

Research Highlights

  • Standardization of many aspects of pathology imaging, such as color and image quality calibration

  • Evaluation and optimization of digital staining

  • 3D and multimodality pathological imaging

  • Decision support systems for pathology diagnosis, research, and education

Selected Awards

  • 1994  Distinguished Service Medal (Nikon)

  • 2000  Advanced Pathology Informatics, Imaging and the Internet (APIII)  Honourable Mention – Electronic poster

  • 2011  Japan Telepathology, Virtual Microscopy Association Distinguished Service Medal in Digital Pathology

Selected Publications

  • Ronald S.Weinstein, Anna R.Graham, C.Richter, Gail P.Barker, Elizabeth A.Krupinski, Ana Maria Lopez, Kristine A.Erpsa, Achyut K.Bhattacharyya, Yukako Yagi, John R.Gilbertson, “Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future”, Human Pathology, Vol. 40, No. 8, pp. 1057-1069 (2009). 

  • John R Gilbertson, Jonhan Ho, Leslie Anthony, Drazen M Jukic, Yukako Yagi and Anil V Parwani, “Primary histologic diagnosis using automated whole slide imaging: a validation study”, BMC Clinical Pathology 2006, 6:4.  

  • Yagi Y, Pantanowitz L. Comment on “Quality evaluation of microscopy and scanned histological images for diagnostic purposes”: Are scanners better than microscopes? J Pathol Inform. 2012;3:14. Epub 2012 Apr 18. PMID: 22616026

  • Yagi Y, Riedlinger G, Xu X, Nakamura A, Levy B, Iafrate AJ, Mino-Kenudson M, Klepeis VE. “Development of a database system and image viewer to assist in the correlation of histopathologic features and digital image analysis with clinical and molecular genetic information “, Pathol Int. 2016 Feb;66(2):63-74. doi: 10.1111/pin.12382. Epub 2016 Jan 18. PMID: 26778830