Elif Baykal Kablan
Title
Cited by
Cited by
Year
Automated nuclei detection in serous effusion cytology based on machine learning
E Baykal, H Dogan, M Ekinci, ME Ercin, S Ersoz
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
72017
Modern convolutional object detectors for nuclei detection on pleural effusion cytology images
E Baykal, H Dogan, ME Ercin, S Ersoz, M Ekinci
Multimedia Tools and Applications 79 (21), 15417-15436, 2020
52020
Automated nuclei detection in serous effusion cytology with stacked sparse autoencoders
E Baykal, H Doğan, ME Ercin, Ş Ersöz, M Ekinci
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
52018
Transfer learning with pre-trained deep convolutional neural networks for serous cell classification
E Baykal, H Dogan, ME Ercin, S Ersoz, M Ekinci
Multimedia Tools and Applications, 1-19, 2019
42019
Image forgery detection based on SIFT and k-means++
E Baykal, B Ustubioglu, G Ulutas
2016 39th International Conference on Telecommunications and Signal …, 2016
32016
Stain independent nuclei segmentation of cytopathology images: A case study in pleural effusion
EB Kablan, H Dogan, M Ekinci, ME Ercin, S Ersoz
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
22019
Blur Invariant Image Forgery Detection Method Using Local Phase Quantization
B Ustubioglu, E Baykal, G Muzaffer, G Ulutas
22016
An ensemble of fine-tuned fully convolutional neural networks for pleural effusion cell nuclei segmentation
EB Kablan, H Dogan, ME Ercin, S Ersoz, M Ekinci
Computers & Electrical Engineering 81, 106533, 2020
12020
Automated Nuclei Detection on Pleural Effusion Cytopathology Images using YOLOv3
B Kilic, E Baykal, M Ekinci, H Dogan, ME Ercin, S Ersoz
2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019
12019
Determination of optimum auto focusing function for cytopathological assessment processes
H Doğan, E Baykal, M Ekinci, ME Ercin, Ş Ersöz
2017 Medical Technologies National Congress (TIPTEKNO), 1-4, 2017
12017
Automated cell nuclei segmentation in pleural effusion cytology using active appearance model
E Baykal, H Dogan, M Ekinci, ME Ercin, S Ersoz
International Conference on Computer Analysis of Images and Patterns, 59-69, 2017
12017
Optimal focusing with extended depth of focus in microscopic systems
H Doğan, E Baykal, M Ekinci, ME Ercin, Ş Ersöz
Signal Processing and Communications Applications Conference (SIU), 2017 …, 2017
12017
Generation of Optimal Focused 2D and 3D Images for Cytopathological Analysis in Light Microscopic Systems
H Doğgan, E Baykal, M Ekinci, ME Ercin, Ş Ersöz
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
2019
Effects of Other Color Spaces on Shape From Focus
H Dogan, E Baykal, ME Ercin, S Ersoz, M Ekinci
2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019
2019
A novel 2D and 3D wide-view imaging approach by controlling optimal range for cytopathological analysis in light microscopic system
H Dogan, E Baykal, ME Ercin, S Ersoz, M Ekinci
Optics Communications 430, 39-50, 2019
2019
A novel extended depth of field process based on nonsubsampled shearlet transform by estimating optimal range in microscopic systems
H Dogan, E Baykal, M Ekinci, ME Ercin, S Ersoz
Optics Communications 429, 88-99, 2018
2018
3D panoramic imaging for cytopatological analysis in light microscopic system
H Doğan, E Baykal, ME Ercin, Ş Ersöz, M Ekinci
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
2018
Image panorama without loss of focusing for microscopic systems
H Doğan, E Baykal, M Ekinci
2017 International Conference on Computer Science and Engineering (UBMK …, 2017
2017
Automated nuclei detection in pleural effusion based on machine learning
E Baykal, H Dogan, M Ekinci, ME Ercin, S Ersoz
VIRCHOWS ARCHIV 471, S205-S206, 2017
2017
Extraction of unrestricted palm patterns in a 3D environment and its application in biometrics
E Baykal, M Eki̇nci
Signal Processing and Communications Applications Conference (SIU), 2015 …, 2015
2015
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Articles 1–20