| Automated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery AO Ok, C Senaras, B Yuksel IEEE Transactions on Geoscience and Remote Sensing 51 (3), 1701-1717, 2012 | 242 | 2012 |
| DeepFocus: detection of out-of-focus regions in whole slide digital images using deep learning C Senaras, MKK Niazi, G Lozanski, MN Gurcan PloS one 13 (10), e0205387, 2018 | 141 | 2018 |
| Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation A Toker, L Kondmann, M Weber, M Eisenberger, A Camero, J Hu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 92 | 2022 |
| Building detection with decision fusion C Senaras, M Ozay, FT Yarman Vural IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 75 | 2013 |
| Multi-spectral false color shadow detection M Teke, E Başeski, AÖ Ok, B Yüksel, Ç Şenaras ISPRS Conference on Photogrammetric Image Analysis, 109-119, 2011 | 73 | 2011 |
| Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images C Senaras, MKK Niazi, B Sahiner, MP Pennell, G Tozbikian, G Lozanski, ... PloS one 13 (5), e0196846, 2018 | 66 | 2018 |
| An image analysis resource for cancer research: PIIP—Pathology image informatics platform for visualization, analysis, and management AL Martel, D Hosseinzadeh, C Senaras, Y Zhou, A Yazdanpanah, ... Cancer research 77 (21), e83-e86, 2017 | 60 | 2017 |
| Digital otoscopy versus microscopy: How correct and confident are ear experts in their diagnoses? AC Moberly, M Zhang, L Yu, M Gurcan, C Senaras, TN Teknos, ... Journal of telemedicine and telecare 24 (7), 453-459, 2018 | 57 | 2018 |
| Detection of eardrum abnormalities using ensemble deep learning approaches C Senaras, AC Moberly, T Teknos, G Essig, C Elmaraghy, N Taj-Schaal, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 295-300, 2018 | 36 | 2018 |
| Relationship between the Ki67 index and its area based approximation in breast cancer MKK Niazi, C Senaras, M Pennell, V Arole, G Tozbikian, MN Gurcan BMC cancer 18, 1-9, 2018 | 31 | 2018 |
| Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features C Senaras, AC Moberly, T Teknos, G Essig, C Elmaraghy, N Taj-Schaal, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 500-507, 2017 | 25 | 2017 |
| A Self-Supervised Decision Fusion Framework for Building Detection C Senaras, FT Yarman Vural IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 | 24 | 2016 |
| Segmentation Fusion for Building Detection Using Domain-Specific Information OO Karadag, C Senaras, FTY Vural IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015 | 24 | 2015 |
| Texture and color based cloud detection E Baseski, C Senaras Recent Advances in Space Technologies (RAST), 2015 7th International …, 2015 | 23 | 2015 |
| Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining C Senaras, B Sahiner, G Tozbikian, G Lozanski, MN Gurcan Medical Imaging 2018: Digital Pathology 10581, 15-20, 2018 | 21 | 2018 |
| Combining deep reinforcement learning with search heuristics for solving multi-agent path finding in segment-based layouts R Reijnen, Y Zhang, W Nuijten, C Senaras, M Goldak-Altgassen 2020 IEEE symposium series on computational intelligence (SSCI), 2647-2654, 2020 | 18 | 2020 |
| Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology MKK Niazi, FS Abas, C Senaras, M Pennell, B Sahiner, W Chen, J Opfer, ... PloS one 13 (5), e0196547, 2018 | 15 | 2018 |
| System and method of otoscopy image analysis to diagnose ear pathology C Senaras, AC Moberly, T Teknos, GF Essig Jr, CA Elmaraghy, ... US Patent 10,932,662, 2021 | 13 | 2021 |
| Deep learning for medical image analysis C Senaras, MN Gurcan Journal of pathology informatics 9, 2018 | 10 | 2018 |
| Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning C Senaras, MKK Niazi, V Arole, W Chen, B Sahiner, A Shana’ah, ... Medical Imaging 2019: Digital Pathology 10956, 159-165, 2019 | 9 | 2019 |
Metin N. GurcanDirector, Center for Artificial Intelligence Research, Wake Forest University School of Medicinewakehealth.edu üzerinde doğrulanmış e-posta adresine sahip
