A deep learning method for fraud detection in financial systems
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks - WiSec ’xx19, Miami, Florida/AMERİKA BİRLEŞİK DEVLETLERİ, 15 Mayıs 2019, s. 298-299
ÖĞREK MAHMUT,ÖĞREK EYÜP,BAHTİYAR ŞERİF
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Antenna Array Optimization via Deep Learning For Breast Cancer Microwave Hyperthermia Application: Preliminary Results
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), 10 Temmuz 2022
YILDIZ GÜLŞAH, YAŞAR HALİMCAN, USLU İBRAHİM ENES, DEMİREL YUSUF, JOOF SÜLEYMAN, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM
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Microwave Dielectric Property Retrieval From Open-Ended Coaxial Probe Response With Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, ISSN: 2169-3536
AYDINALP CEMANUR, JOOF SÜLEYMAN, AKINCI MEHMET NURİ, AKDUMAN İBRAHİM, YILMAZ ABDOLSAHEB TUBA
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A Guideline for Complex Permittivity Retrieval of Tissue-Mimicking Phantoms From Open-Ended Coaxial Probe Response With Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 70, Kasım 2022, ISSN: 0018-9480
JOOF SÜLEYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, ÇAYÖREN MEHMET, AKDUMAN İBRAHİM
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Antenna Excitation Optimization with Deep Learning for Microwave Breast Cancer Hyperthermia
MDPI AG, Vol. 22, Ağustos 2022, ISSN: 1424-8220
YILDIZ GÜLŞAH, YAŞAR HALİMCAN, USLU İBRAHİM ENES, DEMİREL YUSUF, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM
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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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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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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 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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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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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 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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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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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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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 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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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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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
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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