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ORCIDJeffrey A. Fessler
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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
[j140]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: 372-384 (2024)- [j139]Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler:
Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions. IEEE Trans. Computational Imaging 10: 1384-1399 (2024) - [j138]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): 2937-2948 (2024) - [i27]Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler:
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems. CoRR abs/2406.02462 (2024) - [i26]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 abs/2406.10211 (2024) - [i25]Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler:
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. CoRR abs/2410.10836 (2024) - [i24]Jason Hu, Bowen Song, Jeffrey A. Fessler, Liyue Shen:
Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems. CoRR abs/2410.11730 (2024) - 2023
- [j137]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): 4915-4931 (2023) - [j136]David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano:
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. SIAM J. Math. Data Sci. 5(1): 222-250 (2023) - [j135]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) - [j134]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) - [j133]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: 846-856 (2023) - [j132]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): 2961-2973 (2023) - [c127]Alec S. Xu, Laura Balzano, Jeffrey A. Fessler:
HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. ICASSP 2023: 1-5 - [i23]Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler:
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI. CoRR abs/2303.02586 (2023) - [i22]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 abs/2305.07712 (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]Stephen M. Schmitt, Jeffrey A. Fessler, Greg D. Fichter, David A. Zimdars:
Model-based, one-sided, time-of-flight terahertz image reconstruction. Computational Imaging 2014: 90200N - [c87]Daniel S. Weller, Ayelet Pnueli, Ori Radzyner, Gilad Divon, Yonina C. Eldar, Jeffrey A. Fessler:
Phase retrieval of sparse signals using optimization transfer and ADMM. ICIP 2014: 1342-1346 - [c86]Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Model-based estimation of T2 maps with dual-echo steady-state MR imaging. ICIP 2014: 1877-1881 - [c85]Hao Sun, William A. Grissom, Jeffrey A. Fessler:
Regularized estimation of Bloch-Siegert |B1+| maps in MRI. ICIP 2014: 3646-3650 - [c84]Matthew J. Muckley, Jeffrey A. Fessler:
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage. ICIP 2014: 3651-3655 - [c83]Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Improved Robust PCA using low-rank denoising with optimal singular value shrinkage. SSP 2014: 13-16 - [i2]Hung Nien, Jeffrey A. Fessler:
A convergence proof of the split Bregman method for regularized least-squares problems. CoRR abs/1402.4371 (2014) - [i1]Hung Nien, Jeffrey A. Fessler:
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets. CoRR abs/1402.4381 (2014) - 2013
- [j76]Antonios Matakos, Sathish Ramani, Jeffrey A. Fessler:
Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts. IEEE Trans. Image Process. 22(5): 2019-2029 (2013) - [j75]Se Young Chun, Jeffrey A. Fessler:
Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods. IEEE Trans. Medical Imaging 32(2): 141-152 (2013) - [j74]Se Young Chun, Jeffrey A. Fessler, Yuni K. Dewaraja:
Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template. IEEE Trans. Medical Imaging 32(2): 295-305 (2013) - [j73]Michael J. Allison, Sathish Ramani, Jeffrey A. Fessler:
Accelerated Regularized Estimation of MR Coil Sensitivities Using Augmented Lagrangian Methods. IEEE Trans. Medical Imaging 32(3): 556-564 (2013) - [j72]Sathish Ramani, Daniel S. Weller, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE. IEEE Trans. Medical Imaging 32(8): 1411-1422 (2013) - [j71]Donghwan Kim, Debashish Pal, Jean-Baptiste Thibault, Jeffrey A. Fessler:
Accelerating Ordered Subsets Image Reconstruction for X-ray CT Using Spatially Nonuniform Optimization Transfer. IEEE Trans. Medical Imaging 32(11): 1965-1978 (2013) - [c82]Donghwan Kim, Sathish Ramani, Jeffrey A. Fessler:
Ordered subsets with momentum for accelerated X-ray CT image reconstruction. ICASSP 2013: 920-923 - [c81]Hao Sun, Daniel S. Weller, Alan Chu, Sathish Ramani, Daehyun Yoon, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Spoke pulse design in magnetic resonance imaging using greedy minimax algorithm. ISBI 2013: 696-699 - [c80]Sathish Ramani, Jeffrey A. Fessler:
Accelerated noncartesian sense reconstruction using a majorize-minimize algorithm combining variable-splitting. ISBI 2013: 704-707 - [c79]Feng Zhao, Jeffrey A. Fessler, Steven M. Wright, Joseph Vincent Rispoli, Douglas C. Noll:
Optimized linear combinations of channels for complex multiple-coil B1 field estimation with Bloch-Siegert B1 mapping in MRI. ISBI 2013: 942-945 - [c78]Daniel S. Weller, Sathish Ramani, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Sure-based parameter selection for parallel MRI reconstruction using GRAPPA and sparsity. ISBI 2013: 954-957 - 2012
- [j70]Sathish Ramani, Zhihao Liu, Jeffrey Rosen, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods. IEEE Trans. Image Process. 21(8): 3659-3672 (2012) - [j69]Sathish Ramani, Jeffrey A. Fessler:
A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction. IEEE Trans. Medical Imaging 31(3): 677-688 (2012) - [j68]Se Young Chun, Jeffrey A. Fessler:
Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods. IEEE Trans. Medical Imaging 31(7): 1413-1425 (2012) - [j67]Feng Zhao, Douglas C. Noll, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Separate Magnitude and Phase Regularization via Compressed Sensing. IEEE Trans. Medical Imaging 31(9): 1713-1723 (2012) - [j66]Jung Kuk Kim, Jeffrey A. Fessler, Zhengya Zhang:
Forward-Projection Architecture for Fast Iterative Image Reconstruction in X-Ray CT. IEEE Trans. Signal Process. 60(10): 5508-5518 (2012) - [c77]Sathish Ramani, Jeffrey Rosen, Zhihao Liu, Jeffrey A. Fessler:
Iterative weighted risk estimation for nonlinear image restoration with analysis priors. Computational Imaging 2012: 82960N - [c76]Sathish Ramani, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction. ICIP 2012: 2049-2052 - [c75]Antonios Matakos, Sathish Ramani, Jeffrey A. Fessler:
Image restoration using non-circulant shift-invariant system models. ICIP 2012: 3061-3064 - [c74]Michael J. Allison, Sathish Ramani, Jeffrey A. Fessler:
Regularized MR coil sensitivity estimation using augmented Lagrangian methods. ISBI 2012: 394-397 - [c73]Sathish Ramani, Jeffrey A. Fessler:
Statistical X-ray CT reconstruction using a splitting-based iterative algorithm with orthonormal wavelets. ISBI 2012: 1008-1011 - [c72]Jang-Hwan Cho, Sathish Ramani, Jeffrey A. Fessler:
Alternating minimization approach for multi-frame image reconstruction. SSP 2012: 225-228 - 2011
- [j65]Catherine Kublik, Selim Esedoglu, Jeffrey A. Fessler:
Algorithms for Area Preserving Flows. SIAM J. Sci. Comput. 33(5): 2382-2401 (2011) - [j64]Sathish Ramani, Jeffrey A. Fessler:
Parallel MR Image Reconstruction Using Augmented Lagrangian Methods. IEEE Trans. Medical Imaging 30(3): 694-706 (2011) - [j63]Xin He, Lishui Cheng, Jeffrey A. Fessler, Eric C. Frey:
Regularized Image Reconstruction Algorithms for Dual-Isotope Myocardial Perfusion SPECT (MPS) Imaging Using a Cross-Tracer Prior. IEEE Trans. Medical Imaging 30(6): 1169-1183 (2011) - [j62]Daniel J. Lingenfelter, Jeffrey A. Fessler, Clayton D. Scott, Zhong He:
Asymptotic Source Detection Performance of Gamma-Ray Imaging Systems Under Model Mismatch. IEEE Trans. Signal Process. 59(11): 5141-5151 (2011) - [c71]Jung Kuk Kim, Zhengya Zhang, Jeffrey A. Fessler:
Hardware acceleration of iterative image reconstruction for X-ray computed tomography. ICASSP 2011: 1697-1700 - [c70]Sathish Ramani, Jeffrey A. Fessler:
Regularized parallel mri reconstruction using an alternating direction method of multipliers. ISBI 2011: 385-388 - [c69]Antonios Matakos, Jeffrey A. Fessler:
Dynamic MR image and fieldmap joint reconstruction accounting for through-plane fieldmap gradients. ISBI 2011: 393-396 - [c68]Donghwan Kim, Jeffrey A. Fessler:
Accelerated ordered-subsets algorithm based on separable quadratic surrogates for regularized image reconstruction in X-ray CT. ISBI 2011: 1134-1137 - [c67]Se Young Chun, Jeffrey A. Fessler:
Regularization design for isotropic spatial resolution in motion-compensated image reconstruction. ISBI 2011: 1500-1503 - [c66]Won Seok Huh, Jeffrey A. Fessler:
Iterative image reconstruction for dual-energy X-ray CT using regularized material sinogram estimates. ISBI 2011: 1512-1515 - 2010
- [j61]Jeffrey A. Fessler:
Model-Based Image Reconstruction for MRI. IEEE Signal Process. Mag. 27(4): 81-89 (2010) - [j60]Yong Long, Jeffrey A. Fessler, James M. Balter:
3D Forward and Back-Projection for X-Ray CT Using Separable Footprints. IEEE Trans. Medical Imaging 29(11): 1839-1850 (2010) - [j59]Daniel J. Lingenfelter, Jeffrey A. Fessler, Clayton D. Scott, Zhong He:
Benefits of position-sensitive detectors for radioactive source detection. IEEE Trans. Signal Process. 58(9): 4473-4483 (2010) - [c65]Sathish Ramani, Jeffrey A. Fessler:
An accelerated iterative reweighted least squares algorithm for compressed sensing MRI. ISBI 2010: 257-260 - [c64]Jeffrey A. Fessler:
Optimization transfer approach to joint registration / reconstruction for motion-compensated image reconstruction. ISBI 2010: 596-599 - [c63]Amanda K. Funai, Jeffrey A. Fessler:
Cramér RAO bound analysis of joint B1/T1 mapping methods in MRI. ISBI 2010: 712-15 - [c62]Antonios Matakos, Jeffrey A. Fessler:
Joint estimation of image and fieldmap in parallel MRI using single-shot acquisitions. ISBI 2010: 984-987 - [c61]Se Young Chun, Colas Schretter, Jeffrey A. Fessler:
Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations. ISBI 2010: 1221-1224
2000 – 2009
- 2009
- [j58]Se Young Chun, Jeffrey A. Fessler:
A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility. IEEE J. Sel. Top. Signal Process. 3(1): 159-169 (2009) - [j57]Aniket Joshi, Robert A. Koeppe, Jeffrey A. Fessler:
Reducing between scanner differences in multi-center PET studies. NeuroImage 46(1): 154-159 (2009) - [j56]Hugo R. Shi, Jeffrey A. Fessler:
Quadratic Regularization Design for 2-D CT. IEEE Trans. Medical Imaging 28(5): 645-656 (2009) - [j55]Roshni R. Bhagalia, Jeffrey A. Fessler, Boklye Kim:
Accelerated Nonrigid Intensity-Based Image Registration Using Importance Sampling. IEEE Trans. Medical Imaging 28(8): 1208-1216 (2009) - [j54]William Grissom, Dan Xu, Adam B. Kerr, Jeffrey A. Fessler, Douglas C. Noll:
Fast Large-Tip-Angle Multidimensional and Parallel RF Pulse Design in MRI. IEEE Trans. Medical Imaging 28(10): 1548-1559 (2009) - [j53]Joonki Noh, Jeffrey A. Fessler, Paul E. Kinahan:
Statistical Sinogram Restoration in Dual-Energy CT for PET Attenuation Correction. IEEE Trans. Medical Imaging 28(11): 1688-1702 (2009) - [c60]Daniel J. Lingenfelter, Jeffrey A. Fessler, Zhong He:
Sparsity regularization for image reconstruction with Poisson data. Computational Imaging 2009: 72460 - [c59]Mónica Abella, Jeffrey A. Fessler:
A New Statistical Image Reconstruction Algorithm for Polyenergetic X-RAY CT. ISBI 2009: 165-168 - [c58]Won Seok Huh, Jeffrey A. Fessler:
Model-Based Image Reconstruction for Dual-Energy X-Ray CT with Fast KVP Switching. ISBI 2009: 326-329 - [c57]Dan Ruan, Selim Esedoglu, Jeffrey A. Fessler:
Discriminative Sliding Preserving Regularization in Medical Image Registration. ISBI 2009: 430-433 - [c56]Se Young Chun, Jeffrey A. Fessler:
Spatial Resolution and Noise Properties of Regularized Motion-Compensated Image Reconstruction. ISBI 2009: 863-866 - [c55]Roshni R. Bhagalia, Jeffrey A. Fessler, Boklye Kim, Charles R. Meyer:
Improved fMRI time-series registration using joint probability density priors. Image Processing 2009: 72590J - [c54]Se Young Chun, Jeffrey A. Fessler, Marc L. Kessler:
A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion. Image Processing 2009: 72592U - 2008
- [j52]Valur T. Olafsson, Douglas C. Noll, Jeffrey A. Fessler:
Fast Joint Reconstruction of Dynamic R2* and Field Maps in Functional MRI. IEEE Trans. Medical Imaging 27(9): 1177-1188 (2008) - [j51]Amanda K. Funai, Jeffrey A. Fessler, Desmond Teck Beng Yeo, Valur T. Olafsson, Douglas C. Noll:
Regularized Field Map Estimation in MRI. IEEE Trans. Medical Imaging 27(10): 1484-1494 (2008) - [c53]John R. Valenzuela, Jeffrey A. Fessler:
Regularized estimation of Stokes images from polarimetric measurements. Computational Imaging 2008: 681403 - [c52]Se Young Chun, Jeffrey A. Fessler:
Regularized methods for topology-preserving smooth nonrigid image registration using B-spline basis. ISBI 2008: 1099-1102 - [c51]Desmond Teck Beng Yeo, Jeffrey A. Fessler, Boklye Kim:
Motion Robust Magnetic Susceptibility and Field Inhomogeneity Estimation Using Regularized Image Restoration Techniques for fMRI. MICCAI (1) 2008: 991-998 - 2007
- [j50]Matthew W. Jacobson, Jeffrey A. Fessler:
An Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms. IEEE Trans. Image Process. 16(10): 2411-2422 (2007) - [j49]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration. IEEE Trans. Medical Imaging 26(2): 153-163 (2007) - [j48]Yingying Zhang-O'Connor, Jeffrey A. Fessler:
Fast Predictions of Variance Images for Fan-Beam Transmission Tomography With Quadratic Regularization. IEEE Trans. Medical Imaging 26(3): 335-346 (2007) - [c50]Kimberly A. Khalsa, Jeffrey A. Fessler:
Resolution Properties in Regularized Dynamic Mri Reconstruction. ISBI 2007: 456-459 - [c49]Amanda K. Funai, Jeffrey A. Fessler, William Grissom, Douglas C. Noll:
Regularized B1+ Map Estimation in MRI. ISBI 2007: 616-619 - [c48]Rongping Zeng, Jeffrey A. Fessler, James M. Balter, Peter A. Balter:
Iterative Sorting for 4dct Images Based on Internal Anatomy Motion. ISBI 2007: 744-747 - [c47]Jeffrey A. Fessler, Douglas C. Noll:
Model-Based Mr Image Reconstruction with Compensation for Through-Plane Field Inhomogeneity. ISBI 2007: 920-923 - [c46]Ramkrishnan Narayanan, Jeffrey A. Fessler, Bing Ma, Hyunjin Park, Charles R. Meyer:
Local mismatch location and spatial scale detection in image registration. Image Processing 2007: 65121X - [c45]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
A simplified motion model for estimating respiratory motion from orbiting views. Image Processing 2007: 651240 - 2006
- [j47]Anastasia Yendiki, Jeffrey A. Fessler:
Analysis of observer performance in known-location tasks for tomographic image reconstruction. IEEE Trans. Medical Imaging 25(1): 28-41 (2006) - [j46]Sangtae Ahn, Jeffrey A. Fessler, Doron Blatt, Alfred O. Hero III:
Convergent incremental optimization transfer algorithms: application to tomography. IEEE Trans. Medical Imaging 25(3): 283-296 (2006) - [j45]Yingying Zhang-O'Connor, Jeffrey A. Fessler:
Fourier-based forward and back-projectors in iterative fan-beam tomographic image reconstruction. IEEE Trans. Medical Imaging 25(5): 582-589 (2006) - [j44]B. Feng, Jeffrey A. Fessler, Michael A. King:
Incorporation of System Resolution Compensation (RC) in the Ordered-Subset Transmission (OSTR) Algorithm for Transmission Imaging in SPECT. IEEE Trans. Medical Imaging 25(7): 941-949 (2006) - [j43]Michael Ting, Alfred O. Hero III, Daniel Rugar, Chun-Yu Yip, Jeffrey A. Fessler:
Near-optimal signal detection for finite-state Markov signals with application to magnetic resonance force microscopy. IEEE Trans. Signal Process. 54(6-1): 2049-2062 (2006) - [c44]Valur T. Olafsson, Jeffrey A. Fessler, Douglas C. Noll:
Spatial resolution analysis of iterative image reconstruction with separate regularization of real and imaginary parts. ISBI 2006: 5-8 - [c43]Matthew W. Jacobson, Jeffrey A. Fessler:
Joint estimation of respiratory motion and activity in 4D PET using CT side information. ISBI 2006: 275-278 - [c42]Anastasia Yendiki, Jeffrey A. Fessler:
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction. ISBI 2006: 279-282 - [c41]Roshni R. Bhagalia, Jeffrey A. Fessler, Boklye Kim:
Gradient based image registration using importance sampling. ISBI 2006: 446-449 - [c40]Jeffrey A. Fessler, Desmond Teck Beng Yeo, Douglas C. Noll:
Regularized fieldmap estimation in MRI. ISBI 2006: 706-709 - [c39]Dan Ruan, Jeffrey A. Fessler, Michael Roberson, James M. Balter, Marc L. Kessler:
Nonrigid registration using regularization that accomodates local tissue rigidity. Image Processing 2006: 614412 - 2005
- [j42]Douglas C. Noll, Jeffrey A. Fessler, Bradley P. Sutton:
Conjugate phase MRI reconstruction with spatially variant sample density correction. IEEE Trans. Medical Imaging 24(3): 325-336 (2005) - [j41]Jeffrey A. Fessler, Sangwoo Lee, Valur T. Olafsson, Hugo R. Shi, Douglas C. Noll:
Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity. IEEE Trans. Signal Process. 53(9): 3393-3402 (2005) - [c38]Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin Park, Charles R. Meyer:
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration. IPMI 2005: 174-185 - [c37]Matthew W. Jacobson, Jeffrey A. Fessler:
Fast interpolation operations in non-rigid image registration. Image Processing 2005 - [c36]Hugo R. Shi, Jeffrey A. Fessler:
Quadratic regularization design for fan beam transmission tomography. Image Processing 2005 - 2004
- [j40]J. Webster Stayman, Jeffrey A. Fessler:
Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems. IEEE Trans. Medical Imaging 23(3): 269-284 (2004) - [j39]Samuel Matej, Jeffrey A. Fessler, Ivan G. Kazantsev:
Iterative tomographic image reconstruction using Fourier-based forward and back-projectors. IEEE Trans. Medical Imaging 23(4): 401-412 (2004) - [j38]Sangtae Ahn, Jeffrey A. Fessler:
Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values. IEEE Trans. Medical Imaging 23(5): 591-601 (2004) - [j37]Jeongtae Kim, Jeffrey A. Fessler:
Intensity-based image registration using robust correlation coefficients. IEEE Trans. Medical Imaging 23(11): 1430-1444 (2004) - [j36]J. Webster Stayman, Jeffrey A. Fessler:
Efficient calculation of resolution and covariance for penalized-likelihood reconstruction in fully 3-D SPECT. IEEE Trans. Medical Imaging 23(12): 1543-1556 (2004) - [c35]Alfred O. Hero III, Michael Ting, Jeffrey A. Fessler:
Two state Markov modelling and detection of single electron spin signals. EUSIPCO 2004: 1059-1062 - [c34]Jeffrey A. Fessler, Saowapak Sotthivirat:
Simplified digital holographic reconstruction using statistical methods. ICIP 2004: 2435-2438 - [c33]Jeffrey A. Fessler, Douglas C. Noll:
Iterative Image Reconstruction in MRI With Separate Magnitude and Phase Regularization. ISBI 2004: 209-212 - [c32]Anastasia Yendiki, Jeffrey A. Fessler:
Analytical Approach to Channelized Hotelling Observer Performance For Regularized Tomographic Image Reconstruction. ISBI 2004: 360-363 - [c31]Yingying Zhang-O'Connor, Jeffrey A. Fessler:
Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction. ISBI 2004: 364-367 - [c30]Sangtae Ahn, Jeffrey A. Fessler, Thomas E. Nichols, Robert A. Koeppe:
Covariance of Kinetic Parameter Estimators Based on Time Activity Curve Reconstructions: Preliminary Study on 1D Dynamic Imaging. ISBI 2004: 368-371 - [c29]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
Respiratory Motion Estimation From Slowly Rotating X-Ray Projections. ISBI 2004: 480-483 - [c28]Somesh Srivastava, Jeffrey A. Fessler:
Penalized Likelihood Transmission Image Reconstruction: Unconstrained Monotonic Algorithms. ISBI 2004: 748-751 - [c27]Desmond Teck Beng Yeo, Jeffrey A. Fessler, Boklye Kim:
Motion Correction in fMRI by Mapping Slice-to-Volume with Concurrent Field-Inhomogeneity Correction. MICCAI (2) 2004: 752-760 - 2003
- [j35]Bradley P. Sutton, Douglas C. Noll, Jeffrey A. Fessler:
Fast, Iterative Image Reconstruction for MRI in the Presence of Field Inhomogeneities. IEEE Trans. Medical Imaging 22(2): 178-188 (2003) - [j34]Sangtae Ahn, Jeffrey A. Fessler:
A Globally Convergent Image Reconstruction for Emission Tomography Using Relaxed Ordered Subsets Algorithms. IEEE Trans. Medical Imaging 22(5): 623-626 (2003) - [j33]Johan Nuyts, Jeffrey A. Fessler:
A Penalized-Likelihood Image Reconstruction Method for Emission Tomography, Compared to Post-Smoothed Maximum-Likelihood with Matched Spatial Resolution. IEEE Trans. Medical Imaging 22(9): 1042-1052 (2003) - [j32]Jeffrey A. Fessler, Bradley P. Sutton:
Nonuniform fast Fourier transforms using min-max interpolation. IEEE Trans. Signal Process. 51(2): 560-574 (2003) - [c26]Idris A. Elbakri, Jeffrey A. Fessler:
Efficient and accurate likelihood for iterative image reconstruction in x-ray computed tomography. Image Processing 2003 - 2002
- [j31]Saowapak Sotthivirat, Jeffrey A. Fessler:
Image recovery using partitioned-separable paraboloidal surrogate coordinate ascent algorithms. IEEE Trans. Image Process. 11(3): 306-317 (2002) - [j30]Idris A. Elbakri, Jeffrey A. Fessler:
Statistical Image Reconstruction for Polyenergetic X-ray Computer Tomography. IEEE Trans. Medical Imaging 21(2): 89-99 (2002) - [j29]Daniel F. Yu, Jeffrey A. Fessler:
Edge-Preserving Tomographic Reconstruction with Nonlocal Regularization. IEEE Trans. Medical Imaging 21(2): 159-173 (2002) - [c25]Jeongtae Kim, Jeffrey A. Fessler:
Image registration using robust correlation. ISBI 2002: 353-356 - [c24]Bradley P. Sutton, Douglas C. Noll, Jeffrey A. Fessler:
Fast, iterative, field-corrected image reconstruction for MRI. ISBI 2002: 489-492 - [c23]Idris A. Elbakri, Jeffrey A. Fessler:
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography. ISBI 2002: 828-831 - [c22]Saowapak Sotthivirat, Jeffrey A. Fessler:
Relaxed ordered subsets algorithm for image restoration of confocal microscopy. ISBI 2002: 1051-1054 - [c21]Jeffrey A. Fessler, Idris A. Elbakri, Predrag Sukovic, Neal H. Clinthorne:
Maximum-likelihood dual-energy tomographic image reconstruction. Image Processing 2002 - 2001
- [c20]Bradley P. Sutton, Jeffrey A. Fessler:
A min-max approach to the multidimensional nonuniform FFT: application to tomographic image reconstruction. ICIP (1) 2001: 706-709 - [c19]Idris A. Elbakri, Jeffrey A. Fessler:
Statistical x-ray-computed tomography image reconstruction with beam- hardening correction. Image Processing 2001 - [c18]Amir Ghanei, Hamid Soltanian-Zadeh, Kost V. Elisevich, Jeffrey A. Fessler:
Knowledge-based deformable surface model with application to segmentation of brain structures in MRI. Image Processing 2001 - 2000
- [j28]Jeffrey A. Fessler, Hakan Erdogan, Wei Biao Wu:
Exact distribution of edge-preserving MAP estimators for linear signal models with Gaussian measurement noise. IEEE Trans. Image Process. 9(6): 1049-1055 (2000) - [j27]J. Webster Stayman, Jeffrey A. Fessler:
Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction. IEEE Trans. Medical Imaging 19(6): 601-615 (2000) - [j26]Daniel F. Yu, Jeffrey A. Fessler, Edward P. Ficaro:
Maximum Likelihood Transmission Image Reconstruction for Overlapping Transmission Beams. IEEE Trans. Medical Imaging 19(11): 1094-1105 (2000) - [c17]Hakan Erdogan, Jeffrey A. Fessler:
Algorithms for joint estimation of attenuation and emission images in PET. ICASSP 2000: 3783-3786 - [c16]Saowapak Sotthivirat, Jeffrey A. Fessler:
Partitioned Separable Paraboloidal Surrogate Coordinate Ascent Algorithm for Image Restoration. ICIP 2000: 109-112
1990 – 1999
- 1999
- [j25]Jeffrey A. Fessler, Scott D. Booth:
Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction. IEEE Trans. Image Process. 8(5): 688-699 (1999) - [j24]Alfred O. Hero III, Robinson Piramuthu, Jeffrey A. Fessler, Stephen R. Titus:
Minimax Emission Computed Tomography using High-Resolution Anatomical Side Information and B-Spline Models. IEEE Trans. Inf. Theory 45(3): 920-938 (1999) - [j23]Mehmet Yavuz, Jeffrey A. Fessler:
Penalized-Likelihood Estimators and Noise Analysis for Randoms-Precorrected PET Transmission Scans. IEEE Trans. Medical Imaging 18(8): 665-674 (1999) - [j22]Hakan Erdogan, Jeffrey A. Fessler:
Fast Monotonic Algorithms for Transmission Tomography. IEEE Trans. Medical Imaging 18(9): 801-814 (1999) - 1998
- [j21]Mehmet Yavuz, Jeffrey A. Fessler:
Statistical image reconstruction methods for randoms-precorrected PET scans. Medical Image Anal. 2(4): 369-378 (1998) - [j20]Jeffrey A. Fessler:
Comments on "The convergence of mean field procedures for MRF's". IEEE Trans. Image Process. 7(6): 917- (1998) - [c15]Daniel F. Yu, Jeffrey A. Fessler:
Edge-Preserving Tomographic Reconstruction with Nonlocal Regularization. ICIP (1) 1998: 29-33 - [c14]Hakan Erdogan, Jeffrey A. Fessler:
Accelerated Monotonic Algorithms for Transmission Tomography. ICIP (2) 1998: 680-684 - [c13]J. Webster Stayman, Jeffrey A. Fessler:
Spatially-Variant Roughness Penalty Design for Uniform Resolution in Penalized-Likelihood Image Reconstruction. ICIP (2) 1998: 685-689 - 1997
- [j19]John M. Ollinger, Jeffrey A. Fessler:
Positron-emission tomography. IEEE Signal Process. Mag. 14(1): 43-55 (1997) - [j18]Jeffrey A. Fessler, Edward P. Ficaro, Neal H. Clinthorne, Kenneth Lange:
Grouped-Coordinate Ascent Algorithms for Penalized-Likelihood Transmission Image Reconstruction. IEEE Trans. Medical Imaging 16(2): 166-175 (1997) - [j17]Alfred O. Hero III, Mohammad Usman, Anne C. Sauve, Jeffrey A. Fessler:
Recursive algorithms for computing the Cramer-Rao bound. IEEE Trans. Signal Process. 45(3): 803-807 (1997) - [c12]Stephen R. Titus, Alfred O. Hero III, Jeffrey A. Fessler:
Penalized likelihood emission image reconstruction with uncertain boundary information. ICASSP 1997: 2813-2816 - [c11]Jeffrey A. Fessler:
Preconditioning Methods for Shift-Variant Image Reconstruction. ICIP (1) 1997: 185-188 - [c10]Mehmet Yavuz, Jeffrey A. Fessler:
New Statistical Models for Randoms-Precorrected PET Scans. IPMI 1997: 190-203 - 1996
- [j16]Jeffrey A. Fessler:
Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography. IEEE Trans. Image Process. 5(3): 493-506 (1996) - [j15]Jeffrey A. Fessler, W. Leslie Rogers:
Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs. IEEE Trans. Image Process. 5(9): 1346-1358 (1996) - [j14]Jeffrey A. Fessler:
Correction to "Hybrid Poisson/Polynomial Objective Functions for Tomographic Image Reconstruction fr. IEEE Trans. Image Process. 5(9): 1390- (1996) - [j13]Alfred O. Hero III, Jeffrey A. Fessler, Mohammad Usman:
Exploring estimator bias-variance tradeoffs using the uniform CR bound. IEEE Trans. Signal Process. 44(8): 2026-2041 (1996) - [c9]Stephen R. Titus, Alfred O. Hero III, Jeffrey A. Fessler:
Improved penalized likelihood reconstruction of anatomically correlated emission data. ICIP (2) 1996: 749-752 - 1995
- [j12]Jeffrey A. Fessler, Alfred O. Hero III:
Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms. IEEE Trans. Image Process. 4(10): 1417-1429 (1995) - [j11]Kenneth Lange, Jeffrey A. Fessler:
Globally convergent algorithms for maximum a posteriori transmission tomography. IEEE Trans. Image Process. 4(10): 1430-1438 (1995) - [j10]Jeffrey A. Fessler:
Hybrid Poisson/polynomial objective functions for tomographic image reconstruction from transmission scans. IEEE Trans. Image Process. 4(10): 1439-1450 (1995) - [c8]Jeffrey A. Fessler:
Moments of implicitly defined estimators (e.g. ML and MAP): applications to transmission tomography. ICASSP 1995: 2291-2294 - [c7]Yong Zhang, Jeffrey A. Fessler, Neal H. Clinthorne, W. Leslie Rogers:
Incorporating MRI region information into SPECT reconstruction using joint estimation. ICASSP 1995: 2307-2310 - [c6]Stephen R. Titus, Alfred O. Hero III, Jeffrey A. Fessler:
NMR object boundaries: B-spline modeling and estimator performance. ICASSP 1995: 2423-2426 - [c5]Scott D. Booth, Jeffrey A. Fessler:
Combined diagonal/Fourier preconditioning methods for image reconstruction in emission tomography. ICIP 1995: 441-444 - 1994
- [j9]Alfred O. Hero III, Jeffrey A. Fessler:
A recursive algorithm for computing Cramer-Rao- type bounds on estimator covariance. IEEE Trans. Inf. Theory 40(4): 1205-1210 (1994) - [j8]Ping-Chun Chiao, W. Leslie Rogers, Neal H. Clinthorne, Jeffrey A. Fessler, Alfred O. Hero III:
Model-based estimation for dynamic cardiac studies using ECT. IEEE Trans. Medical Imaging 13(2): 217-226 (1994) - [j7]Ping-Chun Chiao, W. Leslie Rogers, Jeffrey A. Fessler, Neal H. Clinthorne, Alfred O. Hero III:
Model-based estimation with boundary side information or boundary regularization [cardiac emission CT]. IEEE Trans. Medical Imaging 13(2): 227-234 (1994) - [j6]Jeffrey A. Fessler:
Penalized weighted least-squares image reconstruction for positron emission tomography. IEEE Trans. Medical Imaging 13(2): 290-300 (1994) - [j5]Jeffrey A. Fessler, Alfred O. Hero III:
Space-alternating generalized expectation-maximization algorithm. IEEE Trans. Signal Process. 42(10): 2664-2677 (1994) - [c4]Jeffrey A. Fessler:
A Mixture-Site Model for Edge-Preserving Image Restoration. ICIP (3) 1994: 162-166 - [c3]Mohammad Usman, Alfred O. Hero III, Jeffrey A. Fessler:
Bias-Variance Tradeoffs Analysis using Uniform CR Bound for Images. ICIP (2) 1994: 835-839 - 1993
- [c2]Jeffrey A. Fessler, Alfred O. Hero III:
Complete-data spaces and generalized EM algorithms. ICASSP (4) 1993: 1-4 - [c1]Jeffrey A. Fessler:
Tomographic Reconstruction Using Information-Weighted Spline Smoothing. IPMI 1993: 372-386 - 1991
- [j4]Jeffrey A. Fessler:
Nonparametric fixed-interval smoothing with vector splines. IEEE Trans. Signal Process. 39(4): 852-859 (1991) - [j3]Jeffrey A. Fessler:
Nonparametric fixed-interval smoothing of nonlinear vector-valued measurements. IEEE Trans. Signal Process. 39(4): 907-913 (1991)
1980 – 1989
- 1989
- [j2]Yoram Bresler, Jeffrey A. Fessler, Albert Macovski:
A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain. IEEE Trans. Pattern Anal. Mach. Intell. 11(8): 840-858 (1989) - 1988
- [j1]Yoram Bresler, Jeffrey A. Fessler, Albert Macovski:
Model-based estimation techniques for 3-D reconstruction from projections. Mach. Vis. Appl. 1(2): 115-126 (1988)
Coauthor Index
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