Can Koyuncu

Case Western Reserve University

*This is an algorithmically generated author record based on publicly available information.

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Can Koyuncu has a total of 126 co-authors. Here are the top co-authors by number of shared publications:

Anant Madabhushi
Department of Biomedical Engineering, Emory University, Atlanta, GA
82 shared publications
Hongyi Huang
74 shared publications
Jonathan T. C. Liu
Stanford University, USA
74 shared publications
Weisi Xie
Univ. of Washington
74 shared publications
Adam K. Glaser
73 shared publications
Lawrence D. True
73 shared publications

Latest Publications

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Open Access
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- 19 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 19 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 18 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 18 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 9 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 9 June 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 21 May 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Open Access
Website
Google Scholar
- 17 March 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references
Website
Google Scholar
- 17 March 2026
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
by Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, et al.
Supplementary methods, notes, figures, tables, video captions, and references

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