Jeffrey A. Fessler

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 107

Top Venues

IEEE Trans. Medical Imaging

CoRR

IEEE Trans. Computational Imaging

ISBI

Publications

Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems. CoRR (2024)
Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI. IEEE Trans. Computational Imaging 10 (2024)
Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction. CoRR (2024)
Shouchang Guo, Jeffrey A. Fessler, Douglas C. Noll
Manifold Regularizer for High-Resolution fMRI Joint Reconstruction and Dynamic Quantification. IEEE Trans. Medical Imaging 43 (8) (2024)
Hanvit Kim, Zongyu Li, Jiye Son, Jeffrey A. Fessler, Yuni K. Dewaraja, Se Young Chun
Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT. IEEE Trans. Medical Imaging 42 (10) (2023)
Alec S. Xu, Laura Balzano, Jeffrey A. Fessler
HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. ICASSP (2023)
Hongki Lim, Yuni K. Dewaraja, Jeffrey A. Fessler
SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging. IEEE Trans. Computational Imaging 9 (2023)
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Anish Lahiri, Gabriel Maliakal, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. IEEE Trans. Computational Imaging 9 (2023)
Guanhua Wang, Jeffrey A. Fessler
Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT). IEEE Trans. Computational Imaging 9 (2023)
Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI. CoRR (2023)
David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. SIAM J. Math. Data Sci. 5 (1) (2023)
Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval. CoRR (2023)
Caroline Crockett, Jeffrey A. Fessler
Bilevel Methods for Image Reconstruction. Found. Trends Signal Process. 15 (2-3) (2022)
Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. CoRR (2022)
Zongyu Li, Kenneth Lange, Jeffrey A. Fessler
Poisson Phase Retrieval in Very Low-Count Regimes. IEEE Trans. Computational Imaging 8 (2022)
Zongyu Li, Jeffrey A. Fessler
Uniform Cramér-Rao Lower Bound for Phase Retrieval: An Empirical Study. IEEECONF (2022)
Guanhua Wang, Tianrui Luo, Jon-Fredrik Nielsen, Douglas C. Noll, Jeffrey A. Fessler
B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI. IEEE Trans. Medical Imaging 41 (9) (2022)
Brendan L. West, Jeffrey A. Fessler, Thomas F. Wenisch
Jigsaw: A Slice-and-Dice Approach to Non-uniform FFT Acceleration for MRI Image Reconstruction. IPDPS (2021)
Tianrui Luo, Douglas C. Noll, Jeffrey A. Fessler, Jon-Fredrik Nielsen
Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI. IEEE Trans. Medical Imaging 40 (12) (2021)
Harini Muthukrishnan, David W. Nellans, Daniel Lustig, Jeffrey A. Fessler, Thomas F. Wenisch
Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers. ISCA (2021)
Donghwan Kim, Jeffrey A. Fessler
Optimizing the Efficiency of First-Order Methods for Decreasing the Gradient of Smooth Convex Functions. J. Optim. Theory Appl. 188 (1) (2021)
Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 40 (11) (2021)
David Hong, Kyle Gilman, Laura Balzano, Jeffrey A. Fessler
HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise. IEEE Trans. Signal Process. 69 (2021)
Zongyu Li, Kenneth Lange, Jeffrey A. Fessler
Algorithms for Poisson Phase Retrieval. CoRR (2021)
Caroline Crockett, Jeffrey A. Fessler
Motivating Bilevel Approaches To Filter Learning: A Case Study. ICIP (2021)
Zongyu Li, Kenneth Lange, Jeffrey A. Fessler
Poisson Phase Retrieval With Wirtinger Flow. ICIP (2021)
Mingjie Gao, Jeffrey A. Fessler, Heang-Ping Chan
Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images. IEEE Trans. Medical Imaging 40 (7) (2021)
Jeffrey A. Fessler
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms. IEEE Signal Process. Mag. 37 (1) (2020)
Claire Yilin Lin, Douglas C. Noll, Jeffrey A. Fessler
A Temporal Model for Task-Based Functional MR Images. ISBI (2020)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging 6 (2020)
Naveen Murthy, Jeffrey A. Fessler
Block Axial Checkerboarding: A Distributed Algorithm for Helical X-Ray CT Reconstruction. ISBI (2020)
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. IEEE Trans. Medical Imaging 39 (4) (2020)
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. Proc. IEEE 108 (1) (2020)
Se Young Chun, Minh Phuong Nguyen, Thanh Quoc Phan, Hanvit Kim, Jeffrey A. Fessler, Yuni K. Dewaraja
Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT. IEEE Trans. Medical Imaging 39 (5) (2020)
Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun
Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. ICASSP (2020)
Mónica Abella, Cristóbal Martinez, Manuel Desco, Juan José Vaquero, Jeffrey A. Fessler
Simplified Statistical Image Reconstruction for X-ray CT With Beam-Hardening Artifact Compensation. IEEE Trans. Medical Imaging 39 (1) (2020)
Siqi Ye, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models. IEEE Trans. Medical Imaging 39 (3) (2020)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Acceleration and Convergence. IEEE Trans. Image Process. 29 (2020)
Shouchang Guo, Jeffrey A. Fessler, Douglas C. Noll
High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction. IEEE Trans. Medical Imaging 39 (12) (2020)
Claire Yilin Lin, Jeffrey A. Fessler
Efficient Regularized Field Map Estimation in 3D MRI. IEEE Trans. Computational Imaging 6 (2020)
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. IEEE Trans. Medical Imaging 39 (11) (2020)
Claire Yilin Lin, Jeffrey A. Fessler
Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model. IEEE Trans. Computational Imaging 5 (1) (2019)
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. CoRR (2019)
Cameron J. Blocker, Jeffrey A. Fessler
Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging. ICCV Workshops (2019)
Anish Lahiri, Jeffrey A. Fessler, Luis Hernandez-Garcia
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression. CoRR (2019)
Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Process. Lett. 26 (8) (2019)
Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Dependence on Training Data. CoRR (2019)
Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. MICCAI (6) (2019)
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
Momentum-Net: Fast and convergent iterative neural network for inverse problems. CoRR (2019)
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
Improved low-count quantitative PET reconstruction with a variational neural network. CoRR (2019)
Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. CoRR (2019)
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. CoRR (2019)
Caroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler
Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. CAMSAP (2019)
Daniel S. Weller, Douglas C. Noll, Jeffrey A. Fessler
Real-time filtering with sparse variations for head motion in magnetic resonance imaging. Signal Process. 157 (2019)
David Hong, Laura Balzano, Jeffrey A. Fessler
Probabilistic PCA for Heteroscedastic Data. CAMSAP (2019)
Jiabei Zheng, Jeffrey A. Fessler, Heang-Ping Chan
Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction. IEEE Trans. Medical Imaging 37 (1) (2018)
Claire Yilin Lin, Jeffrey A. Fessler
Accelerated methods for low-rank plus sparse image reconstruction. ISBI (2018)
Donghwan Kim, Jeffrey A. Fessler
Adaptive Restart of the Optimized Gradient Method for Convex Optimization. J. Optim. Theory Appl. 178 (1) (2018)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Dictionary Learning: Acceleration and Convergence. IEEE Trans. Image Process. 27 (4) (2018)
David Hong, Laura Balzano, Jeffrey A. Fessler
Asymptotic performance of PCA for high-dimensional heteroscedastic data. J. Multivar. Anal. 167 (2018)
Donghwan Kim, Jeffrey A. Fessler
Generalizing the Optimized Gradient Method for Smooth Convex Minimization. SIAM J. Optim. 28 (2) (2018)
Seongjin Yoon, Simo A. Mäkiharju, Jeffrey A. Fessler, Steven L. Ceccio
Image Reconstruction for Limited-Angle Electron Beam X-Ray Computed Tomography With Energy-Integrating Detectors for Multiphase Flows. IEEE Trans. Computational Imaging 4 (1) (2018)
Cameron J. Blocker, Il Yong Chun, Jeffrey A. Fessler
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data. IVMSP (2018)
Ge Wang, Jong Chul Ye, Klaus Mueller, Jeffrey A. Fessler
Image Reconstruction is a New Frontier of Machine Learning. IEEE Trans. Medical Imaging 37 (6) (2018)
Il Yong Chun, Jeffrey A. Fessler
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. IVMSP (2018)
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
Image-domain material decomposition using data-driven sparsity models for dual-energy CT. ISBI (2018)
Il Yong Chun, Jeffrey A. Fessler
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. CoRR (2018)
Donghwan Kim, Jeffrey A. Fessler
Another Look at the Fast Iterative Shrinkage/Thresholding Algorithm (FISTA). SIAM J. Optim. 28 (1) (2018)
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. GlobalSIP (2018)
Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler
Deep dictionary-transform learning for image reconstruction. ISBI (2018)
Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler
Fast and convergent iterative image recovery using trained convolutional neural networks. Allerton (2018)
Il Yong Chun, Jeffrey A. Fessler
Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). ACSSC (2018)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. CoRR (2018)
Lianli Liu, Adam Johansson, James M. Balter, Yue Cao, Jeffrey A. Fessler
Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor model. ISBI (2018)
David Hong, Robert P. Malinas, Jeffrey A. Fessler, Laura Balzano
Learning Dictionary-Based Unions of Subspaces for Image Denoising. EUSIPCO (2018)
Valur T. Olafsson, Douglas C. Noll, Jeffrey A. Fessler
Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI. IEEE Trans. Medical Imaging 37 (2) (2018)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR (2018)
Gopal Nataraj, Jon-Fredrik Nielsen, Clayton D. Scott, Jeffrey A. Fessler
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels. IEEE Trans. Medical Imaging 37 (9) (2018)
Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
Low Dose CT Image Reconstruction With Learned Sparsifying Transform. CoRR (2017)
Donghwan Kim, Jeffrey A. Fessler
On the Convergence Analysis of the Optimized Gradient Method. J. Optim. Theory Appl. 172 (1) (2017)
Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler
Dictionary-free MRI parameter estimation via kernel ridge regression. ISBI (2017)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Dictionary Learning: Acceleration and Convergence. CoRR (2017)
Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC (2017)
Yonina C. Eldar, Alfred O. Hero III, Li Deng, Jeffrey A. Fessler, Jelena Kovacevic, H. Vincent Poor, Steve J. Young
Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum]. IEEE Signal Process. Mag. 34 (6) (2017)
Mai Le, Jeffrey A. Fessler
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers. IEEE Trans. Computational Imaging 3 (1) (2017)
Donghwan Kim, Jeffrey A. Fessler
Accelerated dual gradient-based methods for total variation image denoising/deblurring problems. ICASSP (2017)
Greg Ongie, Junyun Shi, Jeffrey A. Fessler
Efficient computation of regularized field map estimates in 3D. ISBI (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC (2017)
Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler
Estimation From Steady-State Sequences. IEEE Trans. Medical Imaging 36 (2) (2017)
Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler
Prior with Learned Transform. CoRR (2017)
Siqi Ye, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction. MLSP (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. IEEE Trans. Medical Imaging 36 (5) (2017)
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. IEEE Trans. Computational Imaging 3 (4) (2017)
Stephen M. Schmitt, Mitchell M. Goodsitt, Jeffrey A. Fessler
Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization. IEEE Trans. Medical Imaging 36 (1) (2017)
Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano
Online dynamic MRI reconstruction via robust subspace tracking. GlobalSIP (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient learning of dictionaries with low-rank atoms. GlobalSIP (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. IVMSP (2016)
Donghwan Kim, Jeffrey A. Fessler
Optimized first-order methods for smooth convex minimization. Math. Program. 159 (1-2) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeffrey A. Fessler