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ORCIDCan Koyuncu 0001
Person information
- affiliation: Case Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, USA
- affiliation (PhD 2018): Bilkent University, Department of Computer Engineering, Ankara, Turkey
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Books and Theses
- 2018
[b1]Can Fahrettin Koyuncu:
Automated cell analysis in microscopy images (Mikroskopi görüntülerinde otomatik hücre analizi). İhsan Doğramacı Bilkent University, Turkey, 2018
Journal Articles
- 2024
- [j6]Cengiz Emre Dedeagac
, Can Koyuncu, Michelle M. Adams, Çagatay Edemen, Berk C. Ugurdag, N. Ilgim Ardic-Avci, H. Fatih Ugurdag:
A Guided-Ensembling Approach for Cell Counting in Fluorescence Microscopy Images. IEEE Access 12: 195552-195560 (2024) - 2023
- [j5]Zhao Wang, Qianyu Feng, Germán Corredor, Can Koyuncu, Cheng Lu:
Measuring dense false positive regions from segmentation result for whole slide tissue histology image. J. Vis. Commun. Image Represent. 96: 103929 (2023) - [j4]Yufei Zhou, Can Koyuncu, Cheng Lu, Rainer Grobholz, Ian Katz, Anant Madabhushi, Andrew Janowczyk:
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. Medical Image Anal. 84: 102702 (2023) - 2021
- [j3]Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi:
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68: 101903 (2021) - 2020
- [j2]Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images. Medical Image Anal. 63: 101720 (2020) - 2015
- [j1]Tunç Gültekin, Can Fahrettin Koyuncu, Cenk Sokmensuer, Cigdem Gunduz Demir:
Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification. IEEE Trans. Medical Imaging 34(1): 275-283 (2015)
Conference and Workshop Papers
- 2023
- [c5]Germán Corredor, Can Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi:
Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker. Digital and Computational Pathology 2023 - [c4]Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi:
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. Digital and Computational Pathology 2023 - 2020
- [c3]Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi:
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. Digital Pathology 2020: 113200G - 2015
- [c2]Sebastian Krappe, Christian Münzenmayer, Amrei Evert, Can Fahrettin Koyuncu, A. Enis Çetin, Torsten Haferlach, Thomas Wittenberg, Christian Held:
Dynamic Programming for the Segmentation of Bone Marrow Cells. Bildverarbeitung für die Medizin 2015: 359-364 - 2014
- [c1]Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
A supervised learning model for live cell segmentation. SIU 2014: 1971-1974
Informal and Other Publications
- 2024
- [i2]Berke Levent Cesur, Ayse Humeyra Dur Karasayar, Pinar Bulutay, Nilgun Kapucuoglu, Cisel Aydin Mericoz, Handan Eren, Omer Faruk Dilbaz, Javidan Osmanli, Burhan Soner Yetkili, Ibrahim Kulac, Can Fahrettin Koyuncu, Cigdem Gunduz Demir:
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss. CoRR abs/2412.15392 (2024) - 2019
- [i1]Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images. CoRR abs/1908.11211 (2019)
Coauthor Index
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