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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Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study
INSIGHTS INTO IMAGING, Vol. 14, No. 1, Ocak 2023, s. 11, ISSN: 1869-4101
KARAGÖZ AHMET, ALİŞ DENİZ CAN, ŞEKER MUSTAFA EGE, ZEYBEL GÖKBERK, YERGİN MERT, ÖKSÜZ İLKAY, KARAARSLAN ERCAN
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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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Unsupervised Myocardial Segmentation for Cardiac MRI
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION MICCAI 2015, Münih/ALMANYA, Vol. 9351, No. null, 5 Ekim 2015, s. 12-20
MUKHOPADHYAY ANİRBAN,ÖKSÜZ İLKAY,MARCO BEVİLACQUA,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS 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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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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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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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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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 Survey on Shape-Constraint Deep Learning for Medical Image Segmentation
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, Vol. 16, Ocak 2023, s. 16, ISSN: 1937-3333
BOHLENDER SİMON, ÖKSÜZ İLKAY, MUKHOPADHYAY ANİRBAN
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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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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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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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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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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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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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Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning
REMOTE SENSING, Vol. 14, No. 21, Kasım 2022, s. 24, ISSN: 2072-4292
ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, YÜZÜGÜLLÜ ONUR, FAJRAOUİ NOURA, ERTEN ESRA
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Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 60, Ocak 2022, s. 11, ISSN: 0196-2892
EFREMOVA NATALİA, EL AMİNE SEDDİK MOHAMED, ERTEN ESRA
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Mass Valuation of Real Estate Using GIS-based Nominal Valuation and Machine Learning Methods
28th Annual Conference of the European Real Estate Society (ERES), Milano/İTALYA, 22 Haziran 2022
METE MUHAMMED OĞUZHAN, YOMRALIOĞLU TAHSİN
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GIS & Machine Learning based Mass Appraisal of Residential Properties in England & Wales
30th Annual Geographical Information Science Research UK (GISRUK), Liverpool/İNGİLTERE, 5 Nisan 2022
METE MUHAMMED OĞUZHAN, YOMRALIOĞLU TAHSİN
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