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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Deep learning for rectal spacer stratification in prostate boost radiotherapy
ESTRO 2020 European Society for Therapeutic Radiology and Oncology Meeting, Viyana/AVUSTURYA, 28 Kasım 2020
THOMAS CHRİSTOPHER, DREGELY ISABEL, ÖKSÜZ İLKAY, RBANO TERESA GUERRERO U, GREENER ANTONY, KİNG ANDREW P., BARRİNGTON SALLY
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High-quality segmentation of low quality cardiac MR images using k-space artefact correction
MIDL 2019 - Medical Imaging with Deep Learning, Londra/İNGİLTERE, 8 Temmuz 2019
ÖKSÜZ İLKAY, CLOUGH JAMES R., BAİ WENJİA, RUİJSİNK BRAM, PUYOL-ANTON ESTHER, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., SCHNABEL JULİA A.
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Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2 Haziran 2019
CLOUGH JAMES R.,ÖKSÜZ İLKAY,BRYNE NİCHOLAS,SCHNABEL JULİA A.,KİNG ANDREW P.
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Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study
Scientific Reports, Vol. 11, Ocak 2021, ISSN: 2045-2322
ALİŞ DENİZ CAN, YERGİN MERT, ALİŞ CEREN, TOPEL ÇAĞDAŞ, ASMAKUTLU OSMAN, BAĞCILAR ÖMER, SENLİ YESEREN DENİZ, ÜSTÜNDAĞ AHMET, SALT VEFA, NACAR DOĞAN SEBAHAT, VELİOĞLU MURAT, SELÇUK HAKAN HATEM, ÖKSÜZ İLKAY, KIZILKILIÇ OSMAN, KARAARSLAN ERCAN
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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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Shifted Windows Transformers for Medical Image Quality Assessment
International Workshop on Machine Learning in Medical Imaging 2022, Singapur/SİNGAPUR, 18 Eylül 2022
ÖZER CANER, GÜLER ARDA, TÜRKVATAN CANSEVER AYSEL, ALİŞ DENİZ CAN, KARAARSLAN ERCAN, ÖKSÜZ İLKAY
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Prediction of voxelwise mandibular osteoradionecrosis maps in HNC patients using deep learning
European Society for Radiotherapy & Oncology Conference ESTRO 2019, Milan/İTALYA, 26 Nisan 2019
HUMBERT-VİDAN LAİA, ÖKSÜZ İLKAY, PATEL VİNOD, ADJOGATSE DELALİ, KİNG ANDREW P., RBANO TERESA GUERRERO U
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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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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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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 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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New Digital Technology in Education Conceptualizing Professional Learning for Educators
Journal of Foreign Language Education and Technology, Vol. 5, No. 1, Şubat 2020, s. 186-194, ISSN: 2536-4731
ERDİN YAŞAR
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An In-Depth Look into Perceived Technology Proficiency of Turkish Teachers of English and Their Technology Practices
Journal of Educational Technology and Online Learning, Vol. 5, No. 1, Ocak 2022, s. 169-189, ISSN: 2618-6586
ERDİN YAŞAR, UZUN LEVENT
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Exploring Preparatory School University Students’ Demotivational Factors of Learning English and Their Analysis in Terms of Various Variables
Journal of Foreign Language Education and Technology, Vol. 6, No. 1, Ocak 2021, s. 42-63, ISSN: 2536-4731
ERDİN YAŞAR, AKAR ÇİLEM SUNA
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Deep Learning Techniques for Improving Estimations of Key Parameters for Efficient Flight Planning
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA/AMERİKA BİRLEŞİK DEVLETLERİ, 8 Eylül 2019, s. 1-8, ISSN: Electronic ISSN: 2155-7209, Print on Demand(PoD) ISSN: 2155-7195
UZUN MEVLÜT, DEMİREZEN MUSTAFA UMUT, KOYUNCU EMRE, İNALHAN GÖKHAN, LOPEZ JAVİER, VİLAPLANA MİGUEL
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Design of a Hybrid Digital-Twin Flight Performance Model Through Machine Learning
2019 IEEE Aerospace Conference, Big Sky, MT/AMERİKA BİRLEŞİK DEVLETLERİ, 2 Mart 2019, s. 1-14, ISSN: Print on Demand(PoD) ISSN: 1095-323X
UZUN MEVLÜT, DEMİREZEN MUSTAFA UMUT, KOYUNCU EMRE, İNALHAN GÖKHAN
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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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