Jianan Gang

Research Associate

20092019
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Jianan Gang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 26 Similar Profiles
Noise Medicine & Life Sciences
Cone-Beam Computed Tomography Medicine & Life Sciences
Imaging techniques Engineering & Materials Science
Tomography Medicine & Life Sciences
Computer-Assisted Image Processing Medicine & Life Sciences
Systems Analysis Medicine & Life Sciences
X-Rays Medicine & Life Sciences
Cones Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

Comparison of deep learning and human observer performance for detection and characterization of simulated lesions

De Man, R., Gang, J., Li, X. & Wang, G., Apr 1 2019, In : Journal of Medical Imaging. 6, 2, 025503.

Research output: Contribution to journalArticle

Learning
Noise
Radiology
Therapeutics

Comparison of deep learning and human observer performance for lesion detection and characterization

De Man, R., Gang, G. J., Li, X. & Wang, G., Jan 1 2019, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Matej, S. & Metzler, S. D. (eds.). SPIE, 110721F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11072).

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

lesions
learning
Observer
Neural Networks
Neural networks

Dynamic fluence field modulation in computed tomography using multiple aperture devices

Gang, G. J., Mao, A., Wang, W., Siewerdsen, J. H., Mathews, A., Kawamoto, S., Levinson, R. & Stayman, J. W., May 21 2019, In : Physics in medicine and biology. 64, 10, 105024.

Research output: Contribution to journalArticle

Tomography
Equipment and Supplies
Tungsten
Artifacts
Noise

Generalized prediction framework for reconstructed image properties using neural networks

Gang, J., Cheng, K., Guo, X. & Stayman, J. W., Jan 1 2019, Medical Imaging 2019: Physics of Medical Imaging. Bosmans, H., Chen, G-H. & Schmidt, T. G. (eds.). SPIE, 109480L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10948).

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

Neural networks
Nonlinear Dynamics
predictions
Imaging techniques
Neural Networks (Computer)

Performance analysis for nonlinear tomographic data processing

Gang, G. J., Guo, X. & Stayman, J. W., Jan 1 2019, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Matej, S. & Metzler, S. D. (eds.). SPIE, 110720W. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11072).

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

Performance Analysis
stimuli
Image quality
penalties
Perturbation