Cyberbullying detection through deep learning: A case study of Turkish celebrities on Twitter
Web Intelligence, Vol. 21, No. 1, Mayıs 2023, s. 61-70, ISSN: 2405-6456
KARADAĞ BULUT, AKBULUT AKHAN, ZAİM ABDÜL HALİM
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A Design Of An Integrated Cloud-based Intrusion Detection System With Third Party Cloud Service
OPEN COMPUTER SCIENCE, Vol. 11, No. 1, Haziran 2021, s. 365-379, ISSN: 2299-1093
ZAİM ABDÜL HALİM, AKBULUT AKHAN, AYDIN MUHAMMED ALİ
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Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
Computer Networks, Vol. 168, Şubat 2020, s. 107042, ISSN: 1389-1286
ELMASRY WİSAM,AKBULUT AKHAN,ZAİM ABDÜL HALİM
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Deep Learning Approaches for Predictive Masquerade Detection
Security and Communication Networks, Vol. 2018, Ağustos 2018, s. 1-24, ISSN: 1939-0114
ELMASRY WİSAM,AKBULUT AKHAN,ZAİM ABDÜL HALİM
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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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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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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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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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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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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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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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Effect of synthetic CT on dose-derived toxicity predictors for MR-only prostate radiotherapy
BJR OPEN, Vol. 6, No. 1, Ocak 2024, s. 9, ISSN: 2513-9878
THOMAS CHRİSTOPHER,DREGELY ISABEL,ÖKSÜZ İLKAY,GUERRERO-URBANO TERESA,GREENER ANTONY,KİNG ANDREW P.,BARRİNGTON SALLY
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3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bath
BIOMEDICAL MATERIALS, Vol. 19, No. 3, Ocak 2024, s. 14, ISSN: 1748-6041
SÖKMEN SERKAN,ÇAKMAK SONER,ÖKSÜZ İLKAY
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Mammographic Breast Positioning Assessment via Deep Learning
Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care., Marakeş/FAS, 6 Ekim 2024
TANYEL TOYGAR,DENİZOĞLU NURPER,ŞEKER MUSTAFA EGE,ALİŞ DENİZ CAN,ÇEREKÇİ ESMA,KARAARSLAN ERCAN,ARIBAL MUSTAFA ERKİN,ÖKSÜZ İLKAY
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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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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 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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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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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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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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