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ORCIDCan Fahrettin Koyuncu
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2020 – today
- 2023
[j5]Zhao Wang, Qianyu Feng, Germán Corredor, Can Fahrettin 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 Fahrettin 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 Fahrettin Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, 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) - [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. Medical Imaging: Digital Pathology 2020: 113200G
2010 – 2019
- 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) - 2018
- [b1]Can Fahrettin Koyuncu:
Automated cell analysis in microscopy images (Mikroskopi görüntülerinde otomatik hücre analizi). İhsan Doğramacı Bilkent University, Turkey, 2018 - 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) - [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
Coauthor Index
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