Mr. Nathan R. Huber Profile

Nathan R. Huber

SPIE Involvement:

Author

Publications (6)

SPIE Journal Paper | 31 January 2023 Open Access

Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT

Zhongxing Zhou, Nathan R. Huber, Akitoshi Inoue, Cynthia McCollough, Lifeng Yu

JMI, Vol. 10, Issue 01, 014003, (January 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.1.014003

KEYWORDS: 3D modeling, Performance modeling, Denoising, Computed tomography, Education and training, 3D image processing, Veins, Infrared imaging, Image quality, Convolutional neural networks

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 4 April 2022 Poster + Paper

Residual-based convolutional-neural-network (CNN) for low-dose CT denoising: impact of multi-slice input

Zhongxing Zhou, Nathan Huber, Akitoshi Inoue, McCollough Cynthia, Lifeng Yu

Proceedings Volume 12031, 120312B (2022) https://doi.org/10.1117/12.2612872

KEYWORDS: Denoising, Computed tomography, Network architectures

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

Pixel-wise bias approximation and correction for convolutional neural network noise reduction in CT

Nathan Huber, Hao Gong, Thomas Huber, David Campeau, Scott Hsieh, Shuai Leng, Lifeng Yu, Cynthia McCollough

Proceedings Volume 12031, 120311C (2022) https://doi.org/10.1117/12.2612703

KEYWORDS: Denoising, Computed tomography, Convolutional neural networks, Artificial intelligence

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

Estimating the minimum SNR necessary for object detection in the projection domain

Scott Hsieh, Lifeng Yu, Nathan Huber, Shuai Leng, Cynthia McCollough

Proceedings Volume 12031, 120310T (2022) https://doi.org/10.1117/12.2611564

KEYWORDS: Signal to noise ratio, Reconstruction algorithms, Signal detection, Denoising, Scanners, Mathematical modeling, Convolutional neural networks, Computed tomography

Read Abstract +

SPIE Journal Paper | 19 April 2021

Deep-learning-based direct synthesis of low-energy virtual monoenergetic images with multi-energy CT

Hao Gong, Jeffrey Marsh, Karen D’Souza, Nathan Huber, Kishore Rajendran, Joel Fletcher, Cynthia McCollough, Shuai Leng

JMI, Vol. 8, Issue 05, 052104, (April 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.5.052104

KEYWORDS: X-ray computed tomography, Computed tomography, Iodine, Denoising, Image quality, Data acquisition, X-rays, Image processing, Scanners, X-ray imaging

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

Random search as a neural network optimization strategy for Convolutional-Neural-Network (CNN)-based noise reduction in CT

Nathan Huber, Andrew Missert, Hao Gong, Scott Hsieh, Shuai Leng, Lifeng Yu, Cynthia McCollough

Proceedings Volume 11596, 115961U (2021) https://doi.org/10.1117/12.2582143

KEYWORDS: Denoising, Neural networks, Network architectures, Visualization, Computed tomography, Bone

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