Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer
The British Journal of Radiology, Vol. 94, Ocak 2021, ISSN: 0007-1285
HUMBERT-VİDAN LAİA, PATEL VİNOD, ÖKSÜZ İLKAY, KİNG ANDREW P., RBANO TERESA GUERRERO U
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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
CEBECİ UFUK,AYHAN TATAY
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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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Fully Automated, Quality-Controlled Cardiac Analysis From CMR Validation and Large-Scale Application to Characterize Cardiac Function
JACC-CARDIOVASCULAR IMAGING, Vol. 13, No. 3, Mart 2020, s. 684-695, ISSN: 1936-878X
RUİJSİNK BRAM,PUYOL-ANTON ESTHER,ÖKSÜZ İLKAY,SİNCLAİR MATTHEW,BAİ WENJİA,SCHNABEL JULİA A.,RAZAVİ REZA,KİNG ANDREW P.
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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, Eylül 2021, ISSN: 1939-3539
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA A., SCHNABEL JULİA A., KİNG ANDREW P.
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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Unsupervised Myocardial Segmentation for Cardiac BOLD
IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 36, No. 11, Kasım 2017, s. 2228-2238, ISSN: 0278-0062
ÖKSÜZ İLKAY,MUKHOPADHYAY ANİRBAN,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS A.
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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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DIAGNOSIS OF DIABETES MELLITUS USING STATISTICAL METHODS AND MACHINE LEARNING ALGORITHMS
Sigma Journal of Engineering and Natural Sciences, Vol. 36, No. 4, Aralık 2018, s. 1265-1282, ISSN: 1304-7191
PEKEL EBRU,ÖZCAN TUNCAY
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Total Quality Management through Defect Detection in Manufacturing Processes Using Machine Learning Algorithms
International Symposium for Production Research 2019, ISPR’2019, Viyana Avusturya, 28 Ağustos 2019
KAHYA ALMİRA SELİN,ŞİŞMANOĞLU SELİN,ERÇİN ZEYNEP,CAMGÖZ AKDAĞ HATİCE
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Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 45, No. 8, Ağustos 2020, s. 6985-7004, ISSN: 2193-567X
HAZIR ENDER,ÖZCAN TUNCAY,KOÇ KÜÇÜK HÜSEYİN
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Paddy Rice Phenology Classification Based on Machine Learning Methods Using Multitemporal Co Polar X Band SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, Haziran 2016, s. 2509-2519, ISSN: 1939-1404
KÜÇÜK ÇAĞLAR,TAŞKIN KAYA GÜLŞEN,ERTEN ESRA
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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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An Out-of-Sample Extension to Manifold Learning via Meta-Modeling
IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 28, No. 10, Ekim 2019, s. 5227-5237, ISSN: 1057-7149
TAŞKIN KAYA GÜLŞEN,CRAWFORD MELBA
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Selection of learning analytics projects by using spherical fuzzy TOPSIS
14th International FLINS Conference (FLINS 2020), Cologne, 18 Ağustos 2020, s. 226-234
KAHRAMAN CENGİZ,ÖZTAYŞİ BAŞAR,ÇEVİK ONAR SEZİ,OTAY İREM
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Detecting Malicious Behavior in Microservice Based Web Applications
2019 27th Signal Processing and Communications Applications Conference (SIU), Sivas/TÜRKİYE, Vol. 1, 24 Nisan 2019, s. 1-4, ISSN: 2165-0608
ÖZBEK MUSTAFA,SANDIKKAYA MEHMET TAHİR
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Comment on Social Learning Theory of Bandura: Gender Roles of the Romani Dance in Sulukule
26th Symposium of the ICTM Study Group on Ethnochoreology, 19 Temmuz 2010
İNCEDERE ZEYNEP GONCA
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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
ÇİMEN YETİŞ SİBEL,ÇAPAR ABDULKERİM,EKİNCİ DURSUN ALİ,AYTEN UMUT ENGİN,KERMAN BİLAL ERSEN,TÖREYİN BEHÇET UĞUR
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