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SNR Weighting for Shear Wave Speed Reconstruction in Tomoelastography

Cemre Ariyurek, Bilal Tasdelen, Yusuf Ziya İder and Ergin Atalar have published an article titled ”SNR Weighting for Shear Wave Speed Reconstruction in Tomoelastography”   Abstract In tomoelastography, to achieve a final wave speed map by combining reconstructions obtained from all spatial directions and excitation frequencies, the use of weights is inevitable. Here, a new […]

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MS Graduation: Bilal Tasdelen

Bilal Tasdelen has presented his master’s thesis titled “Dynamic Decoupling and Noise Analysis for Simultaneous Transmission and Reception Imaging.” Abstract: In simultaneous transmission and reception (STAR) MRI, along with the coupling of the excitation pulse to the received signal, noise, and undesired distortions (spurs) coming from the transmit chain also leak into the acquired signal […]

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Phd. Student in Deep Learning for Medical Images

Phd. Student in Deep Learning for Medical Images Dr. İlkay Öksüz oksuzilkay@gmail.com Institute We offer a funded PhD. scholarships on Medical Image Acquisition and Reconstruction at the National Magnetic Resonance Center. The position will be based in Bilkent University National Magnetic Resonance Research Center (UMRAM) under supervision of Prof. Dr. Tolga Çukur. The position holder […]

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Size aftereffect is non-local

Prolonged exposure to a certain size stimulus alters the perceived size of a subsequently presented stimulus at the same location. How the rest of the visual space is affected by this size adaptation, however, has not been systematically studied before. In this study, Altan & Boyaci tested size adaptation at the adapter location as well […]

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Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis

Hussain A Jaber, Ilyas Çankaya, Hadeel K Aljobouri, Orhan M Koçak and Oktay Algin have published a new article titled ”Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis”. Abstract Background: Cluster analysis is a robust tool for exploring the underlining structures in data and grouping them with […]

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