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Toplam 12 adet sonuçtan 12 tanesi görüntülenmektedir.

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Özel Aralık Girişi

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.
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.
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.
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.
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.
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
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.
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.
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.
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

İLETİŞİM BİLGİLERİ

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