DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images CF Koyuncu, GN Gunesli, R Cetin-Atalay, C Gunduz-Demir Medical Image Analysis 63, 101720, 2020 | 28 | 2020 |
AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks GN Gunesli, C Sokmensuer, C Gunduz-Demir IEEE Transactions on Medical Imaging 39 (12), 4262-4273, 2020 | 17* | 2020 |
Feddropoutavg: Generalizable federated learning for histopathology image classification GN Gunesli, M Bilal, SEA Raza, NM Rajpoot arXiv preprint arXiv:2111.13230, 2021 | 13 | 2021 |
Morph-Net: end-to-end prediction of nuclear morphological features from histology images GN Gunesli, R Jewsbury, SEA Raza, NM Rajpoot International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022 | 1 | 2022 |
Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images A Al-Rubaian, GN Gunesli, WA Althakfi, A Azam, N Rajpoot, SEA Raza arXiv preprint arXiv:2311.15847, 2023 | | 2023 |
A Federated Learning Approach to Tumor Detection in Colon Histology Images GN Gunesli, M Bilal, SEA Raza, NM Rajpoot Journal of Medical Systems 47 (1), 99, 2023 | | 2023 |
Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. CT Sari, GN Gunesli, C Sokmensuer, CG Demir CoRR, 2020 | | 2020 |
Boosting fully convolutional networks for gland instance segmentation in histopathological images GN Güneşli PQDT-Global, 2019 | | 2019 |