• 254 Citations
  • 9 h-Index
20072019
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Fingerprint Dive into the research topics where Jongduk Baek is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Noise Medicine & Life Sciences
Cone-Beam Computed Tomography Medicine & Life Sciences
Artifacts Medicine & Life Sciences
cones Physics & Astronomy
Cones Engineering & Materials Science
artifacts Physics & Astronomy
digital systems Physics & Astronomy
modulation transfer function Physics & Astronomy

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Research Output 2007 2019

  • 254 Citations
  • 9 h-Index
  • 30 Conference contribution
  • 23 Article
  • 1 Conference article
  • 1 Review article
Cone-Beam Computed Tomography
Noise
Breast
Computer-Assisted Image Processing

Investigation on lesion detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems with anatomical background

Lee, C. & Baek, J., 2019 Jan 1, Medical Imaging 2019: Physics of Medical Imaging. Bosmans, H., Chen, G-H. & Schmidt, T. G. (eds.). SPIE, 109485E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10948).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

digital systems
lesions
Signal to noise ratio
X-Rays
Signal-To-Noise Ratio

Multi-pass approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system

Han, C. & Baek, J., 2019 Apr 1, In : Optics Express. 27, 7, p. 10108-10126 19 p.

Research output: Contribution to journalArticle

circular orbits
artifacts
cones
tomography
bones

Performance comparison of water phantom based flat field correction methods for photon-counting spectral CT images: Experimental results

Kim, D. & Baek, J., 2019 Jan 1, Medical Imaging 2019: Physics of Medical Imaging. Bosmans, H., Chen, G-H. & Schmidt, T. G. (eds.). SPIE, 109484K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10948).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Photons
counting
Water
photons
water
1 Citation (Scopus)

A deeper convolutional neural network for denoising low-dose CT images

Kim, B., Shim, H. & Baek, J., 2018 Jan 1, Medical Imaging 2018: Physics of Medical Imaging. Schmidt, T. G., Chen, G-H. & Lo, J. Y. (eds.). SPIE, Vol. 10573. 105733P

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Noise
Neural networks
dosage
Explosions
Quality Improvement