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Toplam 12 adet sonuçtan 12 tanesi görüntülenmektedir.

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.

İlkay Öksüz Özgün Makale Cardiac MR motion artefactsImage quality assessmentArtifactConvolutional neural networksLSTMNEURAL-NETWORKSQUALITY ASSESSMENT

AUTOMATIC LEFT VENTRICULAR OUTFLOW TRACT CLASSIFICATION FOR ACCURATE CARDIAC MR PLANNING

2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), No. null, 4 Nisan 2018, s. 462-465

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,SİNCLAİR MATTHEW,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage Quality AssessmentUK BiobankLVOTConvolutional Neural Networks

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.

İlkay Öksüz Tam metin bildiri Cardiac MRImage quality assessmentMotion artefactsUK BiobankConvolutional Neural Networks

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29

ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS

Fully supervised and semi-supervised semantic segmentation of cardiac mr using deep learning

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021

MAHYAR BOLHASSANI

İlkay Öksüz Tez Yüksek Lisans Tamamlandı

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE

A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography

MAGNETIC RESONANCE IMAGING, Vol. 70, Temmuz 2020, s. 155-167, ISSN: 0730-725X

FUİN NİCCOLO,BUSTİN AURELİEN,KUSTNER THOMAS,ÖKSÜZ İLKAY,CLOUGH JAMES R.,KİNG ANDREW P.,SCHNABEL JULİA A.,BOTNAR RENE,PRİETO CLAUDİA

İlkay Öksüz Özgün Makale Cardiac MRIFast imagingUndersamplingVariational neural networkCoronary imagingMAGNETIC-RESONANCE ANGIOGRAPHYIMAGE-RECONSTRUCTIONSPARSE

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

IEEE Journal of Biomedical and Health Informatics, Vol. 25, Mart 2021, ISSN: 2168-2194

XUE WUFENG, Lİ JİAHUİ, HU ZHİQİANG, KERFOOT ERİC, CLOUGH JAMES R., ÖKSÜZ İLKAY, XU HAO, GRAU VİCENTE, GU FUMİN, NG MATTHEW, Lİ XİANG, Lİ QUANZHENG

İlkay Öksüz Özgün Makale

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.

İlkay Öksüz Tam metin bildiri

Left-Ventricle Quantification Using Residual U-Net

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2018, Vol. 11395, 16 Eylül 2018, s. 371, ISSN: 16113349 03029743

KERFOOT ERİC,CLOUGH JAMES R.,ÖKSÜZ İLKAY,LEE JACK,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Convolutional neural networksCardiac quantificationCardiac MR

Joint myocardial registration and segmentation of cardiac BOLD MRI

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2017, Vol. 10663, 10 Eylül 2017, s. 12, ISSN: 16113349 03029743

ÖKSÜZ İLKAY,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS A.

İlkay Öksüz Tam metin bildiri SegmentationRegistrationMarkov random fieldsJoint optimizationCINE MRBOLD

Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, Vol. 11767, 13 Ekim 2019, s. 695, ISSN: 16113349 03029743

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri UK BiobankMotion artefactsImage reconstructionConvolutional neural networksCardiac MR

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