Improved cell segmentation using deep learning in label-free optical microscopy images
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, Ekim 2021, s. 2855-2868, ISSN: 1300-0632
AYANZADEH AYDIN, YALÇIN ÖZUYSAL ÖZDEN, PESEN OKVUR DEVRİM, ÖNAL SEVGİ, TÖREYİN BEHÇET UĞUR, ÜNAY DEVRİM
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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
TATAROĞLU GÖZDE AYŞE,GENÇ ANIL,KABAKÇI KAAN AYKUT,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
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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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A Model Proposal for the Adaptation of a System That Can Detect Cataphoresis Coating Defects with a Deep Learning Based Im
Academic Perspective Procedia, Vol. 4, No. 1, Ekim 2020, s. 223-231, ISSN: 2667-5862
ŞİMŞEK TOLGA, CEBECİ UFUK, ŞENBAY ESMEGÜL, ÇELİK GÖKTUĞ
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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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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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Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020
AYANZADEH AYDIN, PESEN OKVUR DEVRİM, ÜNAY DEVRİM, YALÇIN ÖZUYSAL ÖZDEN, TÖREYİN BEHÇET UĞUR, ÖNAL SEVGİ
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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
ÇAPCI AHMET, GÜVEN HÜSEYİN EMRE, TÖREYİN BEHÇET UĞUR
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A Deep Learning Approach to Fault Detection and Classification in Datacenters
6. Ulusal Yüksek Başarımlı Hesaplama Konferansı - BAŞARIM 2020, 8 Ekim 2020
WİYSOBUNRİ BELTUS NKWAWİR, ERDEN HAMZA SALİH, TÖREYİN BEHÇET UĞUR
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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
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
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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
2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey/TÜRKİYE, 3 Ekim 2019
AYANZADEH AYDIN,YAĞAR HÜSEYİN ONUR,ÖZUYSAL ÖZDEN YALÇIN,OKVUR DEVRİM PESEN,TÖREYİN BEHÇET UĞUR,ÜNAY DEVRİM,ÖNAL SEVGİ
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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
Londra/İNGİLTERE, 2023, s. 137-154, Academic Press
ERDEM YUSUF SAİT, ÜNAY DEVRİM, PESEN OKVUR DEVRİM, YALÇIN ÖZUYSAL ÖZDEN, ÖNAL SEVGİ, AYANZADEH AYDIN, MAYALI BERKAY, BALIKÇİ MUHAMMED, BELLİ ÖZGE NUR, UÇAR MAHMUT, MORANI KENAN, TÖREYİN BEHÇET UĞUR, IHEME LEONARDO OBİNNA
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Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Information Processing in Agriculture, Mart 2024, ISSN: 2214-3173
SERİDİ HAMİD,FAROU BRAHİM,KURULAY MUHAMMED,LYNDA DJAKHDJAKHA,BOUACİDA IMANE
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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE Sensors Journal, Vol. 20, No. 6, Ocak 2020, s. 3101-3112, ISSN: 1530-437X","1558-1748","2379-9153
TUFEK NİLAY, YALÇIN MURAT, ALTINTAŞ MUCAHİT, KALAOĞLU FATMA, Yİ Lİ HENRY, KURŞUN BAHADIR SENEM
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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE SENSORS JOURNAL, Aralık 2019, s. 1-1, ISSN: 1530-437X
TÜFEK NİLAY,YALÇIN MURAT,ALTINTAŞ MÜCAHİT,KALAOĞLU FATMA,Yİ Lİ,KURŞUN BAHADIR SENEM
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Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
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The Analytical Solutions and Deep Learning Assessment of Long Waves Over Linear and Nonlinear Breadth and Depth Profiles: 30 October 2020 İzmir Tsunami Case
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ALİ RIZA ALAN
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Building Extraction with VHR Remote Sensing Imagery through
Deep Learning
20th International Symposium on Environmental Pollution and its Impact on Life in the Mediterranean Region, Atina/YUNANİSTAN, 27 Ekim 2020
ATİK ŞAZİYE ÖZGE, İPBÜKER CENGİZHAN
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Multi-Label Classification Application for Environmental
Monitoring Applications with Deep Learning Approaches
20th International Symposium on Environmental Pollution and its Impact on Life in the Mediterranean Region, Atina/YUNANİSTAN, 26 Ekim 2020
ATİK ŞAZİYE ÖZGE, İPBÜKER CENGİZHAN
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