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ORCIDJeffrey A. Fessler
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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2023
[j133]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: 13-28 (2023)- [j132]Guanhua Wang, Jeffrey A. Fessler:
Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT). IEEE Trans. Computational Imaging 9: 43-54 (2023) - 2022
- [j131]Caroline Crockett, Jeffrey A. Fessler:
Bilevel Methods for Image Reconstruction. Found. Trends Signal Process. 15(2-3): 121-289 (2022) - [j130]Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Poisson Phase Retrieval in Very Low-Count Regimes. IEEE Trans. Computational Imaging 8: 838-850 (2022) - [j129]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): 2318-2330 (2022) - [c126]Zongyu Li, Jeffrey A. Fessler:
Uniform Cramér-Rao Lower Bound for Phase Retrieval: An Empirical Study. IEEECONF 2022: 111-115 - [i21]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 abs/2201.09318 (2022) - 2021
- [j128]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): 192-219 (2021) - [j127]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): 1805-1816 (2021) - [j126]Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler:
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 3113-3124 (2021) - [j125]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): 3305-3314 (2021) - [j124]David Hong, Kyle Gilman, Laura Balzano, Jeffrey A. Fessler:
HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise. IEEE Trans. Signal Process. 69: 4819-4834 (2021) - [c125]Caroline Crockett, Jeffrey A. Fessler:
Motivating Bilevel Approaches To Filter Learning: A Case Study. ICIP 2021: 2803-2807 - [c124]Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Poisson Phase Retrieval With Wirtinger Flow. ICIP 2021: 2828-2832 - [c123]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: 714-723 - [c122]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: 139-152 - [i20]Zongyu Li, Kenneth Lange, Jeffrey A. Fessler:
Algorithms for Poisson Phase Retrieval. CoRR abs/2104.00861 (2021) - 2020
- [j123]Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler:
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. Proc. IEEE 108(1): 86-109 (2020) - [j122]Jeffrey A. Fessler:
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms. IEEE Signal Process. Mag. 37(1): 33-40 (2020) - [j121]Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging 6: 153-166 (2020) - [j120]Claire Yilin Lin, Jeffrey A. Fessler:
Efficient Regularized Field Map Estimation in 3D MRI. IEEE Trans. Computational Imaging 6: 1451-1458 (2020) - [j119]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Acceleration and Convergence. IEEE Trans. Image Process. 29: 2108-2122 (2020) - [j118]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): 111-118 (2020) - [j117]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): 729-741 (2020) - [j116]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): 1223-1234 (2020) - [j115]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): 1369-1379 (2020) - [j114]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): 3512-3522 (2020) - [j113]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): 4357-4368 (2020) - [c121]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: 8648-8652 - [c120]Naveen Murthy, Jeffrey A. Fessler:
Block Axial Checkerboarding: A Distributed Algorithm for Helical X-Ray CT Reconstruction. ISBI 2020: 191-194 - [c119]Claire Yilin Lin, Douglas C. Noll, Jeffrey A. Fessler:
A Temporal Model for Task-Based Functional MR Images. ISBI 2020: 1035-1038
2010 – 2019
- 2019
- [j112]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: 170-179 (2019) - [j111]Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Process. Lett. 26(8): 1137-1141 (2019) - [j110]Claire Yilin Lin, Jeffrey A. Fessler:
Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model. IEEE Trans. Computational Imaging 5(1): 17-26 (2019) - [c118]David Hong, Laura Balzano, Jeffrey A. Fessler:
Probabilistic PCA for Heteroscedastic Data. CAMSAP 2019: 26-30 - [c117]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: 316-320 - [c116]Cameron J. Blocker, Jeffrey A. Fessler:
Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging. ICCV Workshops 2019: 3933-3942 - [c115]Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler:
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. MICCAI (6) 2019: 31-40 - [i19]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 abs/1901.00106 (2019) - [i18]Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Dependence on Training Data. CoRR abs/1902.08267 (2019) - [i17]Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler:
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. CoRR abs/1904.02816 (2019) - [i16]Anish Lahiri, Jeffrey A. Fessler, Luis Hernandez-Garcia:
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression. CoRR abs/1905.06474 (2019) - [i15]Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler:
Improved low-count quantitative PET reconstruction with a variational neural network. CoRR abs/1906.02327 (2019) - [i14]Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler:
Momentum-Net: Fast and convergent iterative neural network for inverse problems. CoRR abs/1907.11818 (2019) - [i13]Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler:
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. CoRR abs/1908.01287 (2019) - 2018
- [j109]Donghwan Kim, Jeffrey A. Fessler:
Adaptive Restart of the Optimized Gradient Method for Convex Optimization. J. Optim. Theory Appl. 178(1): 240-263 (2018) - [j108]David Hong, Laura Balzano, Jeffrey A. Fessler:
Asymptotic performance of PCA for high-dimensional heteroscedastic data. J. Multivar. Anal. 167: 435-452 (2018) - [j107]Donghwan Kim, Jeffrey A. Fessler:
Another Look at the Fast Iterative Shrinkage/Thresholding Algorithm (FISTA). SIAM J. Optim. 28(1): 223-250 (2018) - [j106]Donghwan Kim, Jeffrey A. Fessler:
Generalizing the Optimized Gradient Method for Smooth Convex Minimization. SIAM J. Optim. 28(2): 1920-1950 (2018) - [j105]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): 112-124 (2018) - [j104]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Dictionary Learning: Acceleration and Convergence. IEEE Trans. Image Process. 27(4): 1697-1712 (2018) - [j103]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): 116-127 (2018) - [j102]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): 604-614 (2018) - [j101]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): 1289-1296 (2018) - [j100]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): 1498-1510 (2018) - [j99]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): 2103-2114 (2018) - [c114]Il Yong Chun, Jeffrey A. Fessler:
Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). ACSSC 2018: 1631-1635 - [c113]Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler:
Fast and convergent iterative image recovery using trained convolutional neural networks. Allerton 2018: 155-159 - [c112]David Hong, Robert P. Malinas, Jeffrey A. Fessler, Laura Balzano:
Learning Dictionary-Based Unions of Subspaces for Image Denoising. EUSIPCO 2018: 1597-1601 - [c111]Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. GlobalSIP 2018: 529-533 - [c110]Claire Yilin Lin, Jeffrey A. Fessler:
Accelerated methods for low-rank plus sparse image reconstruction. ISBI 2018: 48-51 - [c109]Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Image-domain material decomposition using data-driven sparsity models for dual-energy CT. ISBI 2018: 52-56 - [c108]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: 344-348 - [c107]Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler:
Deep dictionary-transform learning for image reconstruction. ISBI 2018: 1208-1212 - [c106]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: 1-5 - [c105]Il Yong Chun, Jeffrey A. Fessler:
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. IVMSP 2018: 1-5 - [i12]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. CoRR abs/1802.05584 (2018) - [i11]Il Yong Chun, Jeffrey A. Fessler:
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. CoRR abs/1802.07129 (2018) - [i10]Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR abs/1809.01817 (2018) - 2017
- [j98]Donghwan Kim, Jeffrey A. Fessler:
On the Convergence Analysis of the Optimized Gradient Method. J. Optim. Theory Appl. 172(1): 187-205 (2017) - [j97]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): 8-23 (2017) - [j96]Mai Le, Jeffrey A. Fessler:
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers. IEEE Trans. Computational Imaging 3(1): 11-21 (2017) - [j95]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): 694-709 (2017) - [j94]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): 17-26 (2017) - [j93]Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Optimizing MR Scan Design for Model-Based T1, T2 Estimation From Steady-State Sequences. IEEE Trans. Medical Imaging 36(2): 467-477 (2017) - [j92]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): 1116-1128 (2017) - [c104]Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC 2017: 835-839 - [c103]Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler:
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC 2017: 1859-1863 - [c102]Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano:
Online dynamic MRI reconstruction via robust subspace tracking. GlobalSIP 2017: 1180-1184 - [c101]Donghwan Kim, Jeffrey A. Fessler:
Accelerated dual gradient-based methods for total variation image denoising/deblurring problems. ICASSP 2017: 6230-6234 - [c100]Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Dictionary-free MRI parameter estimation via kernel ridge regression. ISBI 2017: 5-9 - [c99]Greg Ongie, Junyun Shi, Jeffrey A. Fessler:
Efficient computation of regularized field map estimates in 3D. ISBI 2017: 700-703 - [c98]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: 1-6 - [i9]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Dictionary Learning: Acceleration and Convergence. CoRR abs/1707.00389 (2017) - [i8]Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Low Dose CT Image Reconstruction With Learned Sparsifying Transform. CoRR abs/1707.02914 (2017) - [i7]Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler:
Sparse-View X-Ray CT Reconstruction Using 𝓵1 Prior with Learned Transform. CoRR abs/1711.00905 (2017) - 2016
- [j91]Donghwan Kim, Jeffrey A. Fessler:
Optimized first-order methods for smooth convex minimization. Math. Program. 159(1-2): 81-107 (2016) - [j90]Sun Hao, Jeffrey A. Fessler, Douglas C. Noll, Jon-Fredrik Nielsen:
Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI. IEEE Trans. Medical Imaging 35(2): 468-479 (2016) - [j89]Hung Nien, Jeffrey A. Fessler:
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging 35(4): 1090-1098 (2016) - [c97]David Hong, Laura Balzano, Jeffrey A. Fessler:
Towards a theoretical analysis of PCA for heteroscedastic data. Allerton 2016: 496-503 - [c96]Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient learning of dictionaries with low-rank atoms. GlobalSIP 2016: 222-226 - [c95]Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Sum of outer products dictionary learning for inverse problems. GlobalSIP 2016: 1142-1146 - [c94]Se Young Chun, Kyeong Yun Kim, Jae Sung Lee, Jeffrey A. Fessler:
Joint estimation of activity distribution and attenuation map for TOF-PET using alternating direction method of multiplier. ISBI 2016: 86-89 - [c93]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: 1-5 - [c92]Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Low dose CT image reconstruction with learned sparsifying transform. IVMSP 2016: 1-5 - [i6]Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. CoRR abs/1611.04069 (2016) - 2015
- [j88]Jens Gregor, Jeffrey A. Fessler:
Comparison of SIRT and SQS for Regularized Weighted Least Squares Image Reconstruction. IEEE Trans. Computational Imaging 1(1): 44-55 (2015) - [j87]Madison G. McGaffin, Jeffrey A. Fessler:
Alternating Dual Updates Algorithm for X-ray CT Reconstruction on the GPU. IEEE Trans. Computational Imaging 1(3): 186-199 (2015) - [j86]Daniel S. Weller, Ayelet Pnueli, Gilad Divon, Ori Radzyner, Yonina C. Eldar, Jeffrey A. Fessler:
Undersampled Phase Retrieval With Outliers. IEEE Trans. Computational Imaging 1(4): 247-258 (2015) - [j85]Madison Gray McGaffin, Jeffrey A. Fessler:
Edge-Preserving Image Denoising via Group Coordinate Descent on the GPU. IEEE Trans. Image Process. 24(4): 1273-1281 (2015) - [j84]Donghwan Kim, Sathish Ramani, Jeffrey A. Fessler:
Combining Ordered Subsets and Momentum for Accelerated X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging 34(1): 167-178 (2015) - [j83]Hung Nien, Jeffrey A. Fessler:
Fast X-Ray CT Image Reconstruction Using a Linearized Augmented Lagrangian Method With Ordered Subsets. IEEE Trans. Medical Imaging 34(2): 388-399 (2015) - [j82]Matthew J. Muckley, Douglas C. Noll, Jeffrey A. Fessler:
Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA). IEEE Trans. Medical Imaging 34(2): 578-588 (2015) - [j81]Jang-Hwan Cho, Jeffrey A. Fessler:
Regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT. IEEE Trans. Medical Imaging 34(2): 678-689 (2015) - [c91]Hung Nien, Jeffrey A. Fessler, Volker Sick:
Model-based image reconstruction of chemiluminescence using a plenoptic 2.0 camera. ICIP 2015: 359-363 - [c90]Donghwan Kim, Jeffrey A. Fessler:
An optimized first-order method for image restoration. ICIP 2015: 3675-3679 - [i5]Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). CoRR abs/1511.06333 (2015) - [i4]Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method. CoRR abs/1511.08842 (2015) - [i3]Hung Nien, Jeffrey A. Fessler:
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction. CoRR abs/1512.04564 (2015) - 2014
- [j80]Daniel S. Weller, Sathish Ramani, Jeffrey A. Fessler:
Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian 𝕃1-SPIRiT MR Image Reconstruction. IEEE Trans. Medical Imaging 33(2): 351-361 (2014) - [j79]Yong Long, Jeffrey A. Fessler:
Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT. IEEE Trans. Medical Imaging 33(8): 1614-1626 (2014) - [j78]Se Young Chun, Yuni K. Dewaraja, Jeffrey A. Fessler:
Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers. IEEE Trans. Medical Imaging 33(10): 1960-1968 (2014) - [j77]Feng Zhao, Jeffrey A. Fessler, Steven M. Wright, Douglas C. Noll:
Regularized Estimation of Magnitude and Phase of Multi-Coil $B_1$ Field Via Bloch-Siegert $B_1$ Mapping and Coil Combination Optimizations. IEEE Trans. Medical Imaging 33(10): 2020-2030 (2014) - [c89]Madison G. McGaffin, Jeffrey A. Fessler:
Fast edge-preserving image denoising via group coordinate descent on the GPU. Computational Imaging 2014: 90200P - [c88]