AS
Amit Sethi
Indian Institute of Technology Bombay, University of Illinois at Chicago, University of Illinois at Urbana-Champaign, Indian Institute of Technology Delhi, Indian Institute of Technology Guwahati
Employment
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Indian Institute of Technology Bombay Associate Professor2017 - Present
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University of Illinois at Chicago Adjunct Instructor2014 - Present
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Indian Institute of Technology Guwahati Assistant Professor2011 - 2017
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ZS Associates Consultant2009 - 2011
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ZS Associates Associate Consultant2006 - 2009
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NEC Laboratories America Inc Intern2003 - 2003
Education
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University of Illinois at Urbana-Champaign Doctor of Philosophy2001 - 2006
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University of Illinois at Urbana-Champaign Master of Science1999 - 2001
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Indian Institute of Technology Delhi Bachelor of Technology1995 - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (49)
- Mix, Align, Distil: Reliable Cross-Domain Atypical Mitosis Classification Save
- A Comparative Study of Deep Neural Network Architectures in Magnification Invariant Breast Cancer Histopathology Image Analysis Save
- Supplementary Figure S1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Table 2 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Table 1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Supplementary Table S2 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Supplementary Table S1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Supplementary Figure S2 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save
- Supplementary Figure S1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images Save