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Çağlar Şenaras
Çağlar Şenaras
Planet Labs
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
1932012
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
662018
Building detection with decision fusion
C Senaras, M Ozay, FT Yarman Vural
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
602013
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
602011
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
462017
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
342018
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
312018
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
272018
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
222015
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
202017
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
202016
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), 1-9, 2018
192018
Texture and color based cloud detection
E Baseski, C Senaras
Recent Advances in Space Technologies (RAST), 2015 7th International …, 2015
142015
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
112018
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
102018
Automatic building detection with feature space fusion using ensemble learning
Ç Şenaras, B Yüksel, M Özay, F Yarman-Vural
2012 IEEE International Geoscience and Remote Sensing Symposium, 6713-6716, 2012
72012
Generalization of tumor identification algorithms
MKK Niazi, TE Tavolara, C Senaras, G Tozbikian, DJ Hartman, V Arole, ...
Medical Imaging 2019: Digital Pathology 10956, 208-215, 2019
62019
FOXP3-stained image analysis for follicular lymphoma: Optimal adaptive thresholding with maximal nucleus coverage
C Senaras, M Pennell, W Chen, B Sahiner, A Shana’ah, A Louissaint, ...
Medical Imaging 2017: Digital Pathology 10140, 87-93, 2017
62017
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
52019
Deep learning for medical image analysis
C Senaras, MN Gurcan
Journal of pathology informatics 9, 2018
52018
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