Deep Learning Approaches for Phantom Movement Recognition
2019 Medical Technologies Congress (TIPTEKNO), 3 Ekim 2019
AKBULUT AKHAN,AŞCI GÜVEN,GÜNGÖR FERAY,TARAKCI ELA,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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.
|
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
|
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.
|
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
|
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
|
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
|
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.
|
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
|
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.
|
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.
|
Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
|
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
|