Ezgi Mercan

Computer Science and Engineering
University of Washington
Seattle WA

Email: ezgi [at] cs.washington.edu
Office: Paul G. Allen Center, 482


I am a PhD student at University of Washington, Computer Science and Engineering. I am working with Linda Shapiro and Su-In Lee. I am interested in biomedical applications of computer vision. My current research interests are craniofacial image analysis and scanning behavior analysis on digital whole slide biopsy images for understanding diagnostic errors.


Digital Pathology

A randomized study comparing digital imaging to traditional glass slide microscopy for breast biopsy and cancer diagnosis

Joann G. Elmore, Gary M. Longton, Margaret S. Pepe, Patricia A. Carney, Heidi D. Nelson, Kimberly H. Allison, Berta M. Geller, Tracy Onega, Anna N. A. Tosteson, Ezgi Mercan, Linda G. Shapiro, Tad T. Brunyé, Thomas R. Morgan, Donald L. Weaver
Journal of Pathology Informatics, 2017.

Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images

Tad T. Brunyé, Ezgi Mercan, Donald L. Weaver, Joann G. Elmore
Journal of Biomedical Informatics, 2017.

Region of Interest Identification and Diagnostic Agreement in Breast Pathology

Dilip B. Nagarkar, Ezgi Mercan, Donald L. Weaver, Tad T. Brunyé, Patricia A. Carney, Mara H. Rendi, Andrew H. Beck, Paul D. Frederick, Linda G. Shapiro, Joann G. Elmore
Modern Pathology, 2016.

Pupil diameter changes reflect difficulty and diagnostic accuracy during medical image interpretation.

Tad T. Brunyé, Marianna D. Eddy, Ezgi Mercan, Kimberly H. Allison, Donald L. Weaver, Joann G. Elmore
BMC Medical Informatics and Decision Making, 2016.

Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: A Comparative Study

Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad Brunye, Joann G. Elmore
Journal of Digital Imaging, 2016.

Multi-instance Multi-label Learning for Whole Slide Breast Histopathology

Caner Mercan, Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore
SPIE Medical Imaging Symposium, Digital Pathology Conference, 2016.

Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images | Slides:

Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad Brunye, Joann G. Elmore
International Conference on Pattern Recognition (ICPR), 2014.

Craniofacial Image Analysis

Craniofacial Image Analysis

Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang and Linda G. Shapiro
Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data, A.Briassouli and J.Benois-Pineau (Ed.), Springer International, 2015.

The Use of Pseudo-landmarks for Craniofacial Analysis: A Comparative Study with L1-Regularized Logistic Regression | Slides:

Ezgi Mercan, Linda G. Shapiro, Seth M. Weinberg, Su-In Lee
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013.

A New Tool for Quantifying and Characterizing Asymmetry in Bilaterally Paired Structures | Poster:

Sara M. Rolfe, Esra D. Camci, Ezgi Mercan, Linda G. Shapiro, Tim C. Cox
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013.

Other Works

A Prognostic Model of Surgical Site Infection Using Daily Clinical Wound Assessment

Patrick C. Sanger, Gabrielle H. van Ramshorst, Ezgi Mercan, Shuai Huang, Andrea L. Hartzler, Cheryl AL. Armstrong, Ross J. Lordon, William B. Lober, Heather L. Evans
Journal of the American College of Surgeons, 2016.