Frank Ong

According to our database, Frank Ong authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Polynomial Preconditioners for Regularized Linear Inverse Problems.

Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop

SIAM J. Imaging Sci., March, 2024

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation.

Se-eun Yoon, Xiaokai Wei, Yexi Jiang, Rachit Pareek, Frank Ong, Kevin Gao, Julian J. McAuley, Michelle Gong

CoRR, 2024

2023

SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization.

Frank Ong, Zheng Zhong, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly

IEEE Trans. Medical Imaging, May, 2023

2021

Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks.

Elizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate.

Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning.

Frank Ong, Martin Uecker, Michael Lustig

IEEE Trans. Medical Imaging, 2020

Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging.

Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig

IEEE Signal Process. Mag., 2020

SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate.

Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein

CoRR, 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.

Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala

CoRR, 2020

Unsupervised MRI Reconstruction with Generative Adversarial Networks.

Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong

CoRR, 2020

2019

Local Kernels That Approximate Bayesian Regularization and Proximal Operators.

Frank Ong, Peyman Milanfar, Pascal Getreuer

IEEE Trans. Image Process., 2019

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model.

Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura

CoRR, 2019

A Fast and Robust Paradigm for Fourier Compressed Sensing Based on Coded Sampling.

Frank Ong, Reinhard Heckel, Kannan Ramchandran

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction.

Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

BLADE: Filter learning for general purpose computational photography.

Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

2017

BLADE: Filter Learning for General Purpose Image Processing.

Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar

CoRR, 2017

General Phase Regularized Reconstruction using Phase Cycling.

Frank Ong, Joseph Y. Cheng, Michael Lustig

CoRR, 2017

2016

Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition.

Frank Ong, Michael Lustig

IEEE J. Sel. Top. Signal Process., 2016

Fast sparse 2-D DFT computation using sparse-graph alias codes.

Frank Ong, Sameer Pawar, Kannan Ramchandran

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Beyond low rank + sparse: Multi-scale low rank matrix decomposition.

Frank Ong, Michael Lustig

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Fast and Efficient Sparse 2D Discrete Fourier Transform using Sparse-Graph Codes.

Frank Ong, Sameer Pawar, Kannan Ramchandran

CoRR, 2015

2013

Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising.

Frank Ong, Martin Uecker, Umar Tariq, Albert Hsiao, Marcus T. Alley, S. S. Vasanawala, Michael Lustig

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013