Can Koyuncu

According to our database, Can Koyuncu authored at least 14 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leveraging weak supervision for cell localization in digital pathology using multitask learning and consistency loss.

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

Comput. Biol. Medicine, 2025

2024

A Guided-Ensembling Approach for Cell Counting in Fluorescence Microscopy Images.

Cengiz Emre Dedeagac, Can Koyuncu, Michelle M. Adams, Çagatay Edemen, Berk C. Ugurdag, N. Ilgim Ardic-Avci, H. Fatih Ugurdag

IEEE Access, 2024

2023

Measuring dense false positive regions from segmentation result for whole slide tissue histology image.

Zhao Wang, Qianyu Feng, Germán Corredor, Can Koyuncu, Cheng Lu

J. Vis. Commun. Image Represent., October, 2023

Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.

Yufei Zhou, Can Koyuncu, Cheng Lu, Rainer Grobholz, Ian Katz, Anant Madabhushi, Andrew Janowczyk

Medical Image Anal., 2023

Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer.

Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker.

Germán Corredor, Can Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2021

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.

Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi

Medical Image Anal., 2021

2020

<i>DeepDistance</i>: A multi-task deep regression model for cell detection in inverted microscopy images.

Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir

Medical Image Anal., 2020

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer.

Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019

DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images.

Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir

CoRR, 2019

2018

Automated cell analysis in microscopy images (Mikroskopi görüntülerinde otomatik hücre analizi)

Can Fahrettin Koyuncu

PhD thesis, 2018

2015

Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification.

Tunç Gültekin, Can Fahrettin Koyuncu, Cenk Sokmensuer, Cigdem Gunduz Demir

IEEE Trans. Medical Imaging, 2015

Dynamic Programming for the Segmentation of Bone Marrow Cells.

Sebastian Krappe, Christian Münzenmayer, Amrei Evert, Can Fahrettin Koyuncu, A. Enis Çetin, Torsten Haferlach, Thomas Wittenberg, Christian Held

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

A supervised learning model for live cell segmentation.

Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014