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Can Deniz Bezek

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I am a Ph.D. student in the Department of Information Technology at Uppsala University. I am working on ultrasound imaging under the supervision of Orcun Goksel. My research interests are computational imaging, deep learning, signal processing, and ultrasound imaging.

I received my B.S and M.S degrees in Electrical and Electronics Engineering from Middle East Technical University (METU). In my master studies, I have worked with Figen S. Oktem. My M.S thesis focused on developing fast, efficient, and novel deep learning-based unrolled reconstruction methods for various computational imaging modalities.

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June '22  

Our abstract about Speed-of-Sound estimation has been accepted for Lecture presentation at the 2022 IEEE International Ultrasonics Symposium!

November '21  

Started my Ph.D. at Uppsala University!

High-resolution multi-spectral imaging with diffractive lenses and learned reconstruction

FS Oktem, OF Kar, CD Bezek, F Kamalabadi. [PDF]

IEEE Transactions on Computational Imaging, 2021 .

Unrolling-Based Deep Reconstruction for Compressive Spectral Imaging

CD Bezek, FS Oktem. [PDF]

OSA Imaging and Applied Optics Congress, 2021.

Deep CNN Prior Based Image Reconstruction for Multispectral Imaging

I Manisalı* , RF Cam* , CD Bezek* , FS Oktem. [PDF]

IEEE Signal Processing and Communications Applications (SIU), 2020

*: Equal contribution.

Ballistocardiographic coupling of triboelectric charges into capacitive ECG

DU Uguz, P Weidener, CD Bezek, T Wang, S Leonhardt, CH Antink. [PDF]

IEEE International Workshop on Medical Measurement and Applications (MEMEA), 2019.

This template is a modification to Jon Barron's and Rishab Khincha's websites.

Last updated on 15.07.2022.