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Baha Sen
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2020 – today
- 2022
- [j11]Sahim Giray Kivanç, Baha Sen
, Ali Özgün Ok, Fatih Nar
:
Fusing Census and MC-CNN Cost Volumes for Stereo Matching. Balt. J. Mod. Comput. 10(2) (2022) - [j10]Ahmad Mozaffer Karim
, Hilal Kaya
, Veysel Alcan
, Baha Sen
, Ismail Alihan Hadimlioglu
:
New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images. Symmetry 14(5): 1003 (2022) - 2021
- [c12]Sahim Giray Kivanç, Baha Sen
, Ali Özgün Ok, Fatih Nar
:
Performance Evaluation of Semi-Global Approaches for the Dense Image Matching of Stereo Satellite Images. SIU 2021: 1-4
2010 – 2019
- 2018
- [j9]Ayse Bagbaba
, Baha Sen
, Dursun Delen
, Betul Seher Uysal:
An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome. J. Medical Syst. 42(11): 227 (2018) - 2017
- [j8]Kemal Akyol
, Baha Sen
, Safak Bayir
, Hasan Basri Çakmak
:
Assessing the importance of features for detection of hard exudates in retinal images. Turkish J. Electr. Eng. Comput. Sci. 25: 1223-1237 (2017) - [c11]Zulbiye Akca, Baha Sen
, Eren Akca
:
Segmentation of blood vessels in 2D retinal images with graphical processing units. SIU 2017: 1-4 - 2016
- [j7]Kemal Akyol
, Baha Sen
, Safak Bayir
:
Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques. Comput. Math. Methods Medicine 2016: 6814791:1-6814791:10 (2016) - [j6]Caner Ozcan
, Baha Sen
, Fatih Nar
:
Sparsity-Driven Despeckling for SAR Images. IEEE Geosci. Remote. Sens. Lett. 13(1): 115-119 (2016) - [j5]Musa Peker
, Baha Sen
, Dursun Delen
:
A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers. IEEE J. Biomed. Health Informatics 20(1): 108-118 (2016) - [c10]Caner Ozcan
, Baha Sen
, Fatih Nar
:
Sparsity-driven despeckling method with low memory usage. SIU 2016: 1329-1332 - [c9]Ferhat Atasoy, Baha Sen
, Fatih Nar
, Caner Ozcan
, Ismail Bozkurt
:
Total variation based 3D skull segmentation. SIU 2016: 1353-1356 - [c8]Ayse Arslan, Baha Sen
, Fatih V. Celebi, Betul Seher Uysal:
Automatic segmentation of region of interest for dry eye disease diagnosis system. SIU 2016: 1817-1820 - 2015
- [j4]Musa Peker
, Baha Sen
, Hüseyin Gürüler
:
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks. J. Medical Syst. 39(2): 18 (2015) - [c7]Ayse Arslan, Baha Sen
, Fatih V. Celebi, Musa Peker
, Abdulkadir But:
A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributes. INISTA 2015: 1-7 - [c6]Musa Peker
, Ayse Arslan, Baha Sen
, Fatih V. Celebi, Abdulkadir But:
A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF). INISTA 2015: 1-8 - [c5]Kemal Akyol
, Elif Çalik
, Safak Bayir
, Baha Sen
, Abdullah Çavusoglu:
Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier. SCSE 2015: 39-46 - [c4]Caner Ozcan
, Baha Sen
, Fatih Nar
:
Early-exit optimization using mixed norm despeckling for SAR images. SIU 2015: 779-782 - [c3]Ayse Arslan, Baha Sen
:
Detection of non-coding RNA's with optimized support vector machines. SIU 2015: 1668-1671 - 2014
- [j3]Baha Sen
, Musa Peker
, Abdullah Çavusoglu, Fatih V. Celebi:
A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. J. Medical Syst. 38(3): 18 (2014) - [c2]Caner Ozcan
, Baha Sen
, Fatih Nar
:
Fast feature preserving despeckling. SIU 2014: 1007-1010 - [c1]Ferhat Atasoy, Fatih Nar
, Baha Sen
, Mahmut Ferat:
Scattered data estimation on medical images for cranioplasty applications. SIU 2014: 1682-1685 - 2012
- [j2]Baha Sen
, Emine Uçar
, Dursun Delen
:
Predicting and analyzing secondary education placement-test scores: A data mining approach. Expert Syst. Appl. 39(10): 9468-9476 (2012)
2000 – 2009
- 2009
- [j1]H. Haldun Göktas, Abdullah Çavusoglu, Baha Sen
:
Auto City: A System for Generating 3D Virtual Cities for Simulation Systems on GIS Maps. Intell. Autom. Soft Comput. 15(1): 29-39 (2009) - 2006
- [b1]Baha Sen:
Üç boyutlu sanal şehirler için zeki bir platformun sayısal coğrafik haritalar üzerinde geliştirilmesi (Developing an intelligent platform for three dimensional virtual cities on digital geographic maps). Gazi University, Turkey, 2006
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last updated on 2024-08-29 20:57 CEST by the dblp team
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