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Performance evaluation of HHT and WT for detection of HIF and CT saturation in smart grids
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A joint probability model for learning related neural activity and behavioral responses that accounts for learning and executive control an application of the Temporal Difference learning algorithm
2007 New England Statistics Symposium, U. of Connecticut, Storrs, CT, ABD., No. 1, 1 Mart 2007, s. 1
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Embolization of rabbit renal arteries to test feasibility and effects of CT-visible doxorubicineluting montmorillonite microparticles
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Segmentation of MR and CT Images by Using a Quantiser Neural Network
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Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms
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Spectroscopic and thermodynamic approach to the interaction of nonperipherally substituted cationic phthalocyanines with calf thymus (CT)-DNA
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Semi-local active contour for a faint region detection in knee CT images
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Self-Supervised Training For Low-Dose Ct Reconstruction
IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice/FRANSA, 13 Nisan 2021
ÜNAL MEHMET OZAN, ERTAŞ METİN, YILDIRIM İSA
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An Unsupervised Reconstruction Method For Low-Dose CT Using
Deep Generative Regularization Prior
Elseiver Biomedical Signal Processing and Control, Şubat 2022, ISSN: 1746-8094
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Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
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Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
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DEVELOPMENT OF A MODULAR AND OPEN-SOURCE
TOMOGRAPHIC IMAGING SOFTWARE : ENHANCING
THE RECONSTRUCTION MODULE FOR LOW-DOSE CT AND DBT
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
SEMA ALTUN
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