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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Deep learning for rectal spacer stratification in prostate boost radiotherapy
European Society for Radiotherapy & Oncology Conference ESTRO 2020, Viyana/AVUSTURYA, 29 Kasım 2020
THOMAS CHRİSTOPHER, ÖKSÜZ İLKAY, KİNG ANDREW P., GUERRERO-URBANO TERESA, GREENER ANTONY, DREGELY ISABEL, BARRİNGTON SALLY
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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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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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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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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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Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
IEEE ACCESS, Vol. 11, Ocak 2023, s. 12, ISSN: 2169-3536
DEARİ SABRİ, ULUKAYA SEZER, 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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A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Mart 2024, ISSN: 0018-9294
MACHADO INES,PUYOL-ANTON ESTHER,HAMMERNİK KERSTİN,CRUZ GASTAO,UĞURLU DEVRAN,OLAKOREDE IHSANE,ÖKSÜZ İLKAY,RUİJSİNK BRAM,CASTELO-BRANCO MİGUEL,YOUNG ALİSTAİR,PRİETO CLAUDİA,SCHNABEL JULİA A.,KİNG ANDREW P.
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Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping
13th Workshop on Statistical Atlases and Computational Modelling of the Heart, Singapur/SİNGAPUR, 18 Eylül 2022
XU RURU, ÖKSÜZ İLKAY
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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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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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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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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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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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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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Various optimized machine learning techniques to predict agricultural commodity prices
Neural Computing and Applications, Vol. 36, Nisan 2024, ISSN: 0941-0643
SARI MURAT,DURAN SERBAY,KUTLU HÜSEYİN,GÜLOĞLU BÜLENT,ATİK ZEHRA
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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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