AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks. - Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (CoRR, 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)

Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. - C. T. Sari; Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (CoRR, 2020)

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 (Medical Image Anal., 2020)

AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks. - Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2020)

FedDropoutAvg: Generalizable federated learning for histopathology image classification. - Gozde Nur Gunesli; Mohsin Bilal; Shan E Ahmed Raza; Nasir M. Rajpoot (CoRR, 2021)

Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images. - Gozde Nur Gunesli; Robert Jewsbury; Shan-E-Ahmed Raza; Nasir M. Rajpoot (MOVI@MICCAI, 2022)

A Federated Learning Approach to Tumor Detection in Colon Histology Images. - Gozde Nur Gunesli; Mohsin Bilal; Shan-E-Ahmed Raza; Nasir M. Rajpoot (J. Medical Syst., 2023)

Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images. - Arwa Al-Rubaian; Gozde Nur Gunesli; Wajd A. Althakfi; Ayesha Azam; Nasir M. Rajpoot; Shan E Ahmed Raza (ISBI, 2024)

CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns. - Arwa Al-Rubaian; Gozde Nur Gunesli; Wajd A. Althakfi; Ayesha Azam; David R. J. Snead; Nasir M. Rajpoot; Shan E Ahmed Raza (Comput. Biol. Medicine, 2025)