Can Deniz Bezek
PhD student at Department of Information Technology; Vi3; Image Analysis
- Telephone:
- +46 18 471 54 25
- E-mail:
- can.deniz.bezek@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Biography
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.
I received my B.S and M.S degrees in Electrical and Electronics Engineering from Middle East Technical University (METU). My M.S thesis focused on developing fast, efficient, and novel deep learning-based unrolled reconstruction methods for various computational imaging modalities.
You can also visit my website for more details.
Research
My research interests are computational imaging, deep learning, signal processing, and ultrasound imaging.
Publications
Recent publications
Part of European Radiology, p. 1490-1501, 2025
- DOI for Breast density assessment via quantitative sound-speed measurement using conventional ultrasound transducers
- Download full text (pdf) of Breast density assessment via quantitative sound-speed measurement using conventional ultrasound transducers
Part of MEDICAL IMAGING 2025, 2025
Part of International Journal of Computer Assisted Radiology and Surgery, p. 1541-1549, 2025
- DOI for Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks
- Download full text (pdf) of Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks
FGGP: Fixed-Rate Gradient-First Gradual Pruning
Part of Image Analysis, p. 3-15, 2025
Model-Based Speed-of-Sound Reconstruction via Interpretable Pruned Priors
Part of 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), 2024
All publications
Articles in journal
Part of European Radiology, p. 1490-1501, 2025
- DOI for Breast density assessment via quantitative sound-speed measurement using conventional ultrasound transducers
- Download full text (pdf) of Breast density assessment via quantitative sound-speed measurement using conventional ultrasound transducers
Part of International Journal of Computer Assisted Radiology and Surgery, p. 1541-1549, 2025
- DOI for Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks
- Download full text (pdf) of Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks
Robust Imaging of Speed-of-Sound Using Virtual Source Transmission
Part of IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, p. 1308-1318, 2023
Analytical Estimation of Beamforming Speed-of-Sound Using Transmission Geometry
Part of Ultrasonics, 2023
- DOI for Analytical Estimation of Beamforming Speed-of-Sound Using Transmission Geometry
- Download full text (pdf) of Analytical Estimation of Beamforming Speed-of-Sound Using Transmission Geometry
Conference papers
Part of MEDICAL IMAGING 2025, 2025
FGGP: Fixed-Rate Gradient-First Gradual Pruning
Part of Image Analysis, p. 3-15, 2025
Model-Based Speed-of-Sound Reconstruction via Interpretable Pruned Priors
Part of 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), 2024
Speed-of-Sound as a Novel Quantitative Imaging and Characterization Method
2024
Speed-of-Sound as a Novel Tissue Characterization Method
2024
Model-based Deep Learning of Ultrasound Beamforming
2023
Speed-of-sound as a Novel Ultrasound Imaging Biomarker for Breast Cancer and Density
2023
2023
2023
2023
Global Speed-of-Sound Prediction Using Transmission Geometry
Part of Proceedings of the 2022 IEEE International Ultrasonics Symposium (IUS), p. 1-4, 2022
Mean Speed-of-Sound Estimation Using Geometric Disparities
2022