Detecting visual design principles in art and architecture through deep convolutional neural networks
Automation in Construction, Vol. 130, Ocak 2021, ISSN: 0926-5805
KANAN ASLI
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Stock market direction prediction using deep neural networks
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
GÜNDÜZ HAKAN,YASLAN YUSUF,ÇATALTEPE ZEHRA
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Classification of operation cases in electric arc welding wachine by using deep convolutional neural networks
NEURAL COMPUTING APPLICATIONS, Ekim 2020, ISSN: 0941-0643
NOĞAY HIDIR SELÇUK,AKINCI TAHİR ÇETİN
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Classification of operation cases in electric arc welding wachine by using deep convolutional neural networks
NEURAL COMPUTING & APPLICATIONS, Ekim 2020, ISSN: 0941-0643
NOĞAY HIDIR SELÇUK, AKINCI TAHİR ÇETİN
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Deep convolutional neural networks for image inpainting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
UĞUR DEMİR
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Semantic land cover and land use classification using deep convolutional neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BERK GÜNEY
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Predicting software vulnerabilities and vulnerability inducing code changes using deep neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
SEFA EREN ŞAHİN
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Classification of pediatric snoring episodes using deep convolutional neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
OZAN FIRAT CİVANER
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Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
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OPTIMIZING DYNAMIC WINDOW APPROACH FOR AUTONOMOUS ROBOTS USING DEEP NEURAL NETWORKS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MERT ŞEKER
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Deep neural networks for robust time delay fault tolerant autonomous landing control system design under severe disturbances
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
MUSTAFA ÇAĞATAY ŞAHİN
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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol. 44, No. 12, Aralık 2022, s. 13, ISSN: 0162-8828
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA, SCHNABEL JULİA A., KİNG ANDREW P.
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Channel Attention Networks for Robust MR Fingerprint Matching
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294
SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY
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Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062
ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.
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Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29
ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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Voice Command Recognition for Drone Control by Deep Neural Networks on Embedded System
8th International Conference on Electrical and Electronics Engineering – ICEEE, Antalya/TÜRKİYE, 9 Nisan 2021, s. 65-72
YAPICIOĞLU CENGİZHAN, DOKUR ZÜMRAY, ÖLMEZ TAMER
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, No. 4, Aralık 2021, s. 85-90, ISSN: 2147-8228
KORHAN NURİ, ABİLZADE LEYLA, ÖLMEZ TAMER, DOKUR ZÜMRAY
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Composing Frankensteins: Data-driven design assemblies through graph-based deep neural networks
107th ACSA Conference, Pittsburgh/AMERİKA BİRLEŞİK DEVLETLERİ, 28 Mart 2019
AS İMDAT, PAL SİDDARTH, BASU PRİTHWİSH
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