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Toplam 3 adet sonuçtan 3 tanesi görüntülenmektedir.

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Özel Aralık Girişi

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.
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, Singapur/SİNGAPUR, 22 Eylül 2022
RANEM AMİN, KALKHOF JOHN, ÖZER CANER, MUKHOPADHYAY ANİRBAN, ÖKSÜZ İLKAY
Caner Özer Tam metin bildiri
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, Singapur/SİNGAPUR, 22 Eylül 2022
RANEM AMİN, KALKHOF JOHN, ÖZER CANER, MUKHOPADHYAY ANİRBAN, ÖKSÜZ İLKAY
İlkay Öksüz Tam metin bildiri

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930