19 citations · 52 across the 12 of their papers we have counts for
12 papers
Denoising ICF Images with Multiplicative Uniform Noise: A Self-Supervised Study Based on the Log-Domain Noisier2Inverse Framework
Gyeongha Hwang, Bradley Thomas Wolfe, Naima Naheed
This paper documents the implementation and evaluation of a self-supervised denoising framework on Inertial Confinement Fusion (ICF) images corrupted by Multiplicative Uniform nois…
A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
Asya Y. Akkus, Bradley T. Wolfe, Pinghan Chu +7
Neutron imaging is essential for diagnosing and optimizing inertial confinement fusion implosions at the National Ignition Facility. Due to the required 10-micrometer resolution, h…
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…
Demonstration of Sub-micron UCN Position Resolution using Room-temperature CMOS Sensor
S. Lin, J. K. Baldwin, M. Blatnik +25
High spatial resolution of ultracold neutron (UCN) measurement is of growing interest to UCN experiments such as UCN spectrometers, UCN polarimeters, quantum physics of UCNs, and q…
Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography
Xin Yue, Shanny Lin, Wenting Li +11
We summarize recent progress in ultrafast Complementary Metal Oxide Semiconductor (CMOS) image sensor development and the application of neural networks for post-processing of CMOS…
Contour Extraction of Inertial Confinement Fusion Images By Data Augmentation
Michael Falato, Bradley Wolfe, Nga Nguyen +2
X-Ray radiographs are one of the primary results from inertial confinement fusion (ICF) experiments. Issues such as scarcity of experimental data, high levels of noise in the data,…