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Chapter 7 - Automated analysis of phase-contrast optical microscopy time-lapse images: application to wound healing and cell motility assays of breast cancer Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods
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Fire Detection in Video Using LMS Based Active Learning
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Sparse representations for online learning based hyperspectral image compression
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Myelin detection in fluorescence microscopy images using machine learning
JOURNAL OF NEUROSCIENCE METHODS, Vol. 346, Aralık 2020, s. 108946, ISSN: 0165-0270
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Improved cell segmentation using deep learning in label-free optical microscopy images
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Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
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A deep learning and RSSI based approach for indoor positioning
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YÜKSEL KAMURAN DOĞUŞ,TÖREYİN BEHÇET UĞUR
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Sparse coding of hyperspectral imagery using online learning
Signal Image and Video Processing, Vol. 9, No. 4, Şubat 2015, s. 959-966, ISSN: 1863-1703
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Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques
International Conference on Computational Collective Intelligence, Rodos/YUNANİSTAN, 29 Eylül 2021
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Noise removal of thermal images using deep learning approach
SPIE - Applications of Digital Image Processing XLV, San Diego/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 12226, 23 Ağustos 2022, s. 169-192
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DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇİMEN YETİŞ SİBEL, ÇAPAR ABDULKERİM, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR
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Cell segmentation of 2d phase-contrast microscopy images with deep learning method
Medical Technologies National Conference (TIPTEKNO), 3 Ekim 2019
TÖREYİN BEHÇET UĞUR, PESEN OKVUR DEVRİM, ÜNAY DEVRİM, YALÇIN ÖZUYSAL ÖZDEN, AYANZADEH AYDIN, ÖNAL SEVGİ, YAĞAR ONUR, YAĞAR ONUR
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017
TATAROĞLU GÖZDE,GENÇ ANIL,KABAKÇI KAAN,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
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Predictive transport modelling in polymeric gas separation membranes: From additive contributions to machine learning
Separation and Purification Technology, Vol. 340, Temmuz 2024, ISSN: 1383-5866
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Using Machine Learning Algorithms for Interpretable Predictions of House Prices and Variable Features
8th International Project and Construction Management Conference, İstanbul/TÜRKİYE, 7 Haziran 2024, s. 63-78
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A Model Proposal for the Adaptation of a System That Can Detect Cataphoresis Coating Defects with a Deep Learning Based Image Processing Technology to Automotive Quality Process
9th International Symposium on Innovative Technologies in Engineering and Science 15-17 October 2021 (ISITES2021 Sakarya - Turkey), SAKARYA/TÜRKİYE, 15 Ekim 2021, s. 223-231, ISSN: 2667-5862
CEBECİ UFUK, ŞİMŞEK TOLGA, ÇELİK GÖKTUĞ, ŞENBAY ESMEGÜL
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AN INTERACTIVE LEARNING SYSTEM APPROACH FOR MENTALLY DISABLED CHILDREN BY USING ANIMATIONS
International Conference on New Horizons in Education, BARCELONA/İSPANYA, Vol. 1, 10 Haziran 2015, s. 146-146, ISSN: 21467358
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A Model Proposal for the Adaptation of a System That Can Detect Cataphoresis Coating Defects with a Deep Learning Based Im
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