Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
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Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
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Image Recovery of Inaccessible Rough Surfaces Profiles Having Impedance Boundary Condition
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Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space
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Segmentation-Aware MRI Reconstruction
International Workshop on Machine Learning for Medical Image Reconstruction 2022, Singapur/SİNGAPUR, 22 Eylül 2022
ACAR MERT, ÇUKUR TOLGA, ÖKSÜZ İLKAY
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Directional Total Variation Regularized Breast Tomosynthesis Image Reconstruction
2022 Medical Technologies Congress (TIPTEKNO), Antalya/TÜRKİYE, 31 Ekim 2022
DEMİREL ŞAHİN GAMZE, ERTAŞ METİN, YILDIRIM İSA
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Self-supervised Dynamic MRI Reconstruction
International Workshop on Machine Learning for Medical Image Reconstruction- MICCAI 2021, Strassbourg/FRANSA, 27 Eylül 2021
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MR image reconstruction using densely connected residual convolutional networks
Computers in Biology and Medicine, Vol. 139, Aralık 2021, ISSN: 18790534 00104825
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Projection-Based cascaded U-Net model for MR image reconstruction
Computer Methods and Programs in Biomedicine, Vol. 207, Ağustos 2021, ISSN: 18727565 01692607
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Efficient super-resolution and MR image reconstruction networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
DURSUN ALİ EKİNCİ
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Image reconstruction with deep learning and applications in MR images
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
AMIR AGHABIGLOU
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Compressed sensing based 3D image reconstruction in digital breast tomosynthesis and micro-bioimaging
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2018
ADEM POLAT
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Implementation of Majorization Minimization MM Algorithm for 3D Total Variation Minimization in DBT Image Reconstruction
IEEE Medical Image Analysis Conference, 29 Ekim 2016
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Sparse tomographic image reconstruction method using total variation and non local means
Imaging Systems and Techniques (IST), 2015 IEEE International Conference on, 16 Eylül 2015
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3D Digital Breast Tomosynthesis Image Reconstruction UsingAnisotropic Total Variation Minimization
2014 IEEE Engineering in Medicine and BiologyConference
S. SEYYEDİ, I. YİLDİRİM
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Evaluating the Effect of Acquisition Parameters in Digital Breast Tomosynthesis System with Iterative Reconstruction Methods on Image Quality
2013 IEEE International Conference on e-Health and Bioengineering
S. SEYYEDİ, I. YİLDİRİM, M. KAMASAK
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3 D Tomosynthesis Image Reconstruction Using Total Variation
2012 ASE/IEEE International Conference on BioMedical Computing
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2D image reconstruction for tomosynthesis
2012 TIPTEKNO
S. TUZUN, I. YİLDİRİM, M. KAMASAK, A. AKAN
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Image reconstruction from sparse samples using directional total variation minimization
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
DEMİRCAN TÜREYEN EZGİ,KAMAŞAK MUSTAFA ERSEL
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Sparse tomographic image reconstruction method using total variation and non local means
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ERTAŞ METİN,YILDIRIM İSA,KAMAŞAK MUSTAFA ERSEL,AKAN AYDIN
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