Dr. John M. Hoffman Profile

Dr. John M. Hoffman

at Univ of California Los Angeles

SPIE Involvement:

Author

Publications (6)

Proceedings Article | 15 March 2019 Presentation + Paper

Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework

Qihui Lyu, Dan Ruan, John Hoffman, Ryan Neph, Michael McNitt-Gray, Ke Sheng

Proc. SPIE. 10949, Medical Imaging 2019: Image Processing

KEYWORDS: Image processing, Reconstruction algorithms, Computed tomography, Image resolution, Denoising, Model-based design, Image restoration, Image filtering, Data acquisition

Read Abstract +

Proceedings Article | 1 March 2019 Presentation + Paper

Accelerating coordinate descent in iterative reconstruction

Scott Hsieh, John Hoffman, Frederic Noo

Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging

KEYWORDS: Reconstruction algorithms, Computed tomography, Computer architecture, Diagnostics, Data modeling, Radiology, Graphics processing units

Read Abstract +

Proceedings Article | 2 March 2018 Paper

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Nastaran Emaminejad, Muhammad Wahi-Anwar, John Hoffman, Grace Kim, Matthew Brown, Michael McNitt-Gray

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Computed tomography, Reconstruction algorithms, Image acquisition, Lung, Feature extraction, Lung cancer, Denoising, Cancer, Tumors, Computer aided diagnosis and therapy

Read Abstract +

Proceedings Article | 27 February 2018 Presentation + Paper

Towards quantitative imaging: stability of fully automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort

M. Wasil Wahi-Anwar, Nastaran Emaminejad, John Hoffman, Grace Kim, Matthew Brown, Michael McNitt-Gray

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Image segmentation, Lung cancer, Computed tomography, Lung, Feature extraction, Computer aided diagnosis and therapy, Cancer, Image quality, Quantitative analysis

Read Abstract +

Proceedings Article | 24 March 2016 Paper

Assessing nodule detection on lung cancer screening CT: the effects of tube current modulation and model observer selection on detectability maps

J. Hoffman, F. Noo, K. McMillan, S. Young, M. McNitt-Gray

Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment

KEYWORDS: Lung, Lung cancer, Modulation, Computed tomography, Sensors, Signal attenuation, Data modeling

Read Abstract +

Proceedings Article | 24 March 2016 Paper

Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients

Stefano Young, Pechin Lo, John Hoffman, H. J. Grace Kim, Matthew Brown, Michael McNitt-Gray

Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis

KEYWORDS: Lung, Computer aided diagnosis and therapy, Computer aided design, Computed tomography, Lung cancer, Reconstruction algorithms, Databases, Scanners, Medicine, Image segmentation, Solids

Read Abstract +

Showing 5 of 6 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years