Medical Image Quality Assessment-Reference-Cited by-同舟云学术

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Medical Image Quality Assessment

Published:2018 Issue: Volume: Page:215-264
ISSN:
Container-title:Visual Quality Assessment for Natural and Medical Image
language:
Short-container-title:

Author:

Ding Yong

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-56497-4_8

Reference112 articles.

1. Acharya, T., & Ray, A. K. (2005). Image processing: Principles and applications. Wiley.

2. Baumueller, S., Winklehner, A., Karlo, C., Goetti, R., Flohr, T., Russi, E. W., et al. (2012). Low-dose CT of the lung: Potential value of iterative reconstructions. European Radiology, 22(12), 2597–2606.

3. Beyersdorff, D., Taymoorian, K., Knösel, T., Schnorr, D., Felix, R., Hamm, B., et al. (2005). MRI of prostate cancer at 1.5 and 3.0 T: Comparison of image quality in tumor detection and staging. American Journal of Roentgenology, 185(5), 1214–1220.

4. Bian, J., Sharp, G. C., Park, Y., Ouyang, J., Bortfeld, T., & Fakhri, G. E. (2016). Investigation of cone-beam CT image quality trade-off for image-guided radiation therapy. Physics in Medicine & Biology, 61(9), 3317–3346.

5. Bohning, D. E., Lomarev, M., Denslow, S., Nahas, Z., Shastri, A., & George, M. (2001). Feasibility of vagus nerve stimulation–synchronized blood oxygenation level–dependent functional MRI. Investigative Radiology, 36(8), 470–479.

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2. Image quality assessment for MRI: Is it up to the task?;2023 11th European Workshop on Visual Information Processing (EUVIP);2023-09-11

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