Baha Sen - researchr alias

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Viewing Publication 1 - 24 from 24

2022

New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray ImagesAhmad Mozaffer Karim, Hilal Kaya, Veysel Alcan, Baha Sen, Ismail Alihan Hadimlioglu. symmetry, 14(5):1003, 2022. [doi]

Fusing Census and MC-CNN Cost Volumes for Stereo MatchingSahim Giray Kivanç, Baha Sen, Ali Özgün Ok, Fatih Nar. bjmc, 10(2), 2022. [doi]

2021

Performance Evaluation of Semi-Global Approaches for the Dense Image Matching of Stereo Satellite ImagesSahim Giray Kivanç, Baha Sen, Ali Özgün Ok, Fatih Nar. siu 2021: 1-4 [doi]

2018

An Automated Grading and Diagnosis System for Evaluation of Dry Eye SyndromeAyse Bagbaba, Baha Sen, Dursun Delen, Betul Seher Uysal. jms, 42(11):227, 2018. [doi]

2017

Segmentation of blood vessels in 2D retinal images with graphical processing unitsZulbiye Akca, Baha Sen, Eren Akca. siu 2017: 1-4 [doi]

Assessing the importance of features for detection of hard exudates in retinal imagesKemal Akyol, Baha Sen, Safak Bayir, Hasan Basri Çakmak. elektrik, 25:1223-1237, 2017. [doi]

2016

Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary TechniquesKemal Akyol, Baha Sen, Safak Bayir. cmmm, 2016, 2016. [doi]

Automatic segmentation of region of interest for dry eye disease diagnosis systemAyse Arslan, Baha Sen, Fatih V. Celebi, Betul Seher Uysal. siu 2016: 1817-1820 [doi]

Total variation based 3D skull segmentationFerhat Atasoy, Baha Sen, Fatih Nar, Caner Ozcan, Ismail Bozkurt. siu 2016: 1353-1356 [doi]

Sparsity-driven despeckling method with low memory usageCaner Ozcan, Baha Sen, Fatih Nar. siu 2016: 1329-1332 [doi]

Sparsity-Driven Despeckling for SAR ImagesCaner Ozcan, Baha Sen, Fatih Nar. lgrs, 13(1):115-119, 2016. [doi]

A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued ClassifiersMusa Peker, Baha Sen, Dursun Delen. titb, 20(1):108-118, 2016. [doi]

2015

Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests ClassifierKemal Akyol, Elif Çalik, Safak Bayir, Baha Sen, Abdullah Çavusoglu. scse 2015: 39-46 [doi]

Detection of non-coding RNA's with optimized support vector machinesAyse Arslan, Baha Sen. siu 2015: 1668-1671 [doi]

A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributesAyse Arslan, Baha Sen, Fatih V. Celebi, Musa Peker, Abdulkadir But. inista 2015: 1-7 [doi]

Early-exit optimization using mixed norm despeckling for SAR imagesCaner Ozcan, Baha Sen, Fatih Nar. siu 2015: 779-782 [doi]

A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF)Musa Peker, Ayse Arslan, Baha Sen, Fatih V. Celebi, Abdulkadir But. inista 2015: 1-8 [doi]

Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural NetworksMusa Peker, Baha Sen, Hüseyin Gürüler. jms, 39(2):18, 2015. [doi]

2014

2012

Predicting and analyzing secondary education placement-test scores: A data mining approachBaha Sen, Emine Uçar, Dursun Delen. eswa, 39(10):9468-9476, 2012. [doi]

2009

Auto City: A System for Generating 3D Virtual Cities for Simulation Systems on GIS MapsH. Haldun Göktas, Abdullah Çavusoglu, Baha Sen. iasc, 15(1):29-39, 2009. [doi]

2006

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)Baha Sen. PhD thesis, Gazi University, Turkey, 2006. [doi]

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