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2020 – today
- 2024
[j28]Avrajit Ghosh
, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. SIAM J. Imaging Sci. 17(1): 31-60 (2024)- [j27]Shijun Liang, Anish Lahiri, Saiprasad Ravishankar:
Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data. IEEE Trans. Computational Imaging 10: 1235-1249 (2024) - [c43]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. CVPR 2024: 7372-7381 - [c42]Siddhant Gautam, Angqi Li, Saiprasad Ravishankar:
Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering. ICASSP 2024: 2081-2085 - [c41]Ismail Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar:
Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. ICASSP 2024: 12841-12845 - [c40]Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang:
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. ICML 2024 - [i40]Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar:
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction. CoRR abs/2402.04097 (2024) - [i39]Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu:
Decoupled Data Consistency with Diffusion Purification for Image Restoration. CoRR abs/2403.06054 (2024) - [i38]Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang:
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization. CoRR abs/2406.05288 (2024) - [i37]Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang:
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems. CoRR abs/2410.04479 (2024) - 2023
- [j26]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40(1): 28-30 (2023) - [j25]Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou, Ce Zhu:
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling. IEEE Signal Process. Mag. 40(1): 32-44 (2023) - [j24]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40(2): 13-15 (2023) - [j23]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) - [c39]Xiang Li, Saiprasad Ravishankar, Qing Qu:
Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements. CAMSAP 2023: 521-525 - [c38]Evan Bell, Shijun Liang, Qing Qu, Saiprasad Ravishankar:
Robust Self-Guided Deep Image Prior. ICASSP 2023: 1-5 - [c37]Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu:
SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. ICASSP 2023: 1-5 - [c36]Chong Wang, Rongkai Zhang, Gabriel Maliakal, Saiprasad Ravishankar, Bihan Wen:
Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. ISBI 2023: 1-5 - [i36]Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu:
SMUG: Towards robust MRI reconstruction by smoothed unrolling. CoRR abs/2303.12735 (2023) - [i35]Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar:
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. CoRR abs/2311.12071 (2023) - [i34]Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia, Ismail Alkhouri, Sijia Liu, Saiprasad Ravishankar:
Robust MRI Reconstruction by Smoothed Unrolling (SMUG). CoRR abs/2312.07784 (2023) - [i33]Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu:
Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. CoRR abs/2312.09181 (2023) - 2022
- [j22]Zhishen Huang, Saiprasad Ravishankar:
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. IEEE Trans. Computational Imaging 8: 333-345 (2022) - [j21]Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen:
Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration. IEEE Trans. Image Process. 31: 1311-1324 (2022) - [c35]Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). ICASSP 2022: 1491-1495 - [c34]Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen:
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. ICIP 2022: 2886-2890 - [c33]Shijun Liang, Ashwin Sreevatsa, Anish Lahiri, Saiprasad Ravishankar:
LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data. ISBI 2022: 1-4 - [i32]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) - [i31]Xikai Yang, Zhishen Huang, Yong Long, Saiprasad Ravishankar:
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. CoRR abs/2203.11565 (2022) - [i30]Shijun Liang, Anish Lahiri, Saiprasad Ravishankar:
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data. CoRR abs/2206.00775 (2022) - [i29]Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers using Bilevel Optimization. CoRR abs/2207.08939 (2022) - [i28]Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen:
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. CoRR abs/2207.12056 (2022) - 2021
- [j20]Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar:
Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 2986-3001 (2021) - [j19]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) - [c32]Kaiyi Yang, Narong Borijindargoon, Boon Poh Ng, Saiprasad Ravishankar, Bihan Wen:
Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography. ICASSP 2021: 1405-1409 - [c31]Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen:
Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. ICASSP 2021: 1860-1864 - [c30]Shijun Liang, Berk Iskender, Bihan Wen, Saiprasad Ravishankar:
Labmat: Learned Feature-Domain Block Matching For Image Restoration. ICIP 2021: 1689-1693 - [i27]Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar:
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR abs/2103.14528 (2021) - [i26]Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar:
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR abs/2110.15424 (2021) - [i25]Zhishen Huang, Saiprasad Ravishankar:
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI. CoRR abs/2111.09212 (2021) - [i24]Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel learning of l1-regularizers with closed-form gradients(BLORC). CoRR abs/2111.10858 (2021) - 2020
- [j18]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) - [j17]Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. 37(1): 41-53 (2020) - [j16]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) - [j15]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) - [j14]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) - [c29]Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. ISBI 2020: 174-177 - [i23]Xikai Yang, Xuehang Zheng, Yong Long, Saiprasad Ravishankar:
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction. CoRR abs/2005.03825 (2020) - [i22]Michael T. McCann, Saiprasad Ravishankar:
Supervised Learning of Sparsity-Promoting Regularizers for Denoising. CoRR abs/2006.05521 (2020) - [i21]Lanqing Guo, Saiprasad Ravishankar, Bihan Wen:
Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. CoRR abs/2006.13714 (2020) - [i20]Xikai Yang, Yong Long, Saiprasad Ravishankar:
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction. CoRR abs/2010.06144 (2020) - [i19]Xikai Yang, Yong Long, Saiprasad Ravishankar:
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction. CoRR abs/2011.00428 (2020)
2010 – 2019
- 2019
- [j13]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. 28(4): 1691-1704 (2019) - [c28]Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar:
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. ICCV Workshops 2019: 3959-3968 - [i18]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) - [i17]Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR abs/1903.11431 (2019) - [i16]Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler:
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. CoRR abs/1904.02816 (2019) - [i15]Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. CoRR abs/1906.00165 (2019) - [i14]Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar:
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. CoRR abs/1910.12024 (2019) - 2018
- [j12]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) - [c27]Saiprasad Ravishankar, Brendt Wohlberg:
Learning Multi-Layer Transform Models. Allerton 2018: 160-165 - [c26]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 - [c25]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 - [c24]Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler:
Deep dictionary-transform learning for image reconstruction. ISBI 2018: 1208-1212 - [c23]Saiprasad Ravishankar, Anna Ma, Deanna Needell:
Analysis of Fast Alternating Minimization for Structured Dictionary Learning. ITA 2018: 1-9 - [i13]Saiprasad Ravishankar, Anna Ma, Deanna Needell:
Analysis of Fast Alternating Minimization for Structured Dictionary Learning. CoRR abs/1802.00518 (2018) - [i12]Saiprasad Ravishankar, Anna Ma, Deanna Needell:
Analysis of Fast Structured Dictionary Learning. CoRR abs/1805.12529 (2018) - [i11]Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR abs/1809.01817 (2018) - [i10]Saiprasad Ravishankar, Brendt Wohlberg:
Learning Multi-Layer Transform Models. CoRR abs/1810.08323 (2018) - 2017
- [j11]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) - [j10]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) - [c22]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 - [c21]Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler:
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC 2017: 1859-1863 - [c20]Brian E. Moore, Saiprasad Ravishankar:
Online data-driven dynamic image restoration using DINO-KAT models. ICIP 2017: 3590-3594 - [c19]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]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) - [i8]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR abs/1710.00947 (2017) - 2016
- [j9]Saiprasad Ravishankar, Yoram Bresler:
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. IEEE Trans. Computational Imaging 2(3): 294-309 (2016) - [c18]Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient learning of dictionaries with low-rank atoms. GlobalSIP 2016: 222-226 - [c17]Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Sum of outer products dictionary learning for inverse problems. GlobalSIP 2016: 1142-1146 - [c16]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Learning flipping and rotation invariant sparsifying transforms. ICIP 2016: 3857-3861 - [c15]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 - [c14]Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Low dose CT image reconstruction with learned sparsifying transform. IVMSP 2016: 1-5 - [i7]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
- [j8]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. 114(2-3): 137-167 (2015) - [j7]Saiprasad Ravishankar, Bihan Wen, Yoram Bresler:
Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. 9(4): 625-636 (2015) - [j6]Saiprasad Ravishankar, Yoram Bresler:
Online Sparsifying Transform Learning - Part II: Convergence Analysis. IEEE J. Sel. Top. Signal Process. 9(4): 637-646 (2015) - [j5]Saiprasad Ravishankar, Yoram Bresler:
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging. SIAM J. Imaging Sci. 8(4): 2519-2557 (2015) - [j4]Saiprasad Ravishankar, Yoram Bresler:
ℓ0 Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees. IEEE Trans. Signal Process. 63(9): 2389-2404 (2015) - [c13]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Video denoising by online 3D sparsifying transform learning. ICIP 2015: 118-122 - [i6]Saiprasad Ravishankar, Yoram Bresler:
ℓ0 Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees. CoRR abs/1501.02859 (2015) - [i5]Saiprasad Ravishankar, Yoram Bresler:
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. CoRR abs/1501.02923 (2015) - [i4]Saiprasad Ravishankar, Yoram Bresler:
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. CoRR abs/1511.01289 (2015) - [i3]Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler:
Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). CoRR abs/1511.06333 (2015) - [i2]Bihan Wen, Yoram Bresler, Saiprasad Ravishankar:
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR abs/1511.06359 (2015) - [i1]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) - 2014
- [b1]Saiprasad Ravishankar:
Adaptive sparse representations and their applications. University of Illinois Urbana-Champaign, USA, 2014 - [c12]Saiprasad Ravishankar, Bihan Wen, Yoram Bresler:
Online sparsifying transform learning for signal processing. GlobalSIP 2014: 364-368 - [c11]Saiprasad Ravishankar, Yoram Bresler:
Doubly sparse transform learning with convergence guarantees. ICASSP 2014: 5262-5266 - [c10]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Learning overcomplete sparsifying transforms with block cosparsity. ICIP 2014: 803-807 - 2013
- [j3]Saiprasad Ravishankar, Yoram Bresler:
Learning Doubly Sparse Transforms for Images. IEEE Trans. Image Process. 22(12): 4598-4612 (2013) - [j2]Saiprasad Ravishankar, Yoram Bresler:
Learning Sparsifying Transforms. IEEE Trans. Signal Process. 61(5): 1072-1086 (2013) - [c9]Saiprasad Ravishankar, Yoram Bresler:
Learning overcomplete sparsifying transforms for signal processing. ICASSP 2013: 3088-3092 - [c8]Saiprasad Ravishankar, Yoram Bresler:
Closed-form solutions within sparsifying transform learning. ICASSP 2013: 5378-5382 - [c7]Saiprasad Ravishankar, Yoram Bresler:
Sparsifying transform learning for Compressed Sensing MRI. ISBI 2013: 17-20 - 2012
- [c6]Saiprasad Ravishankar, Yoram Bresler:
Learning sparsifying transforms for image processing. ICIP 2012: 681-684 - [c5]Saiprasad Ravishankar, Yoram Bresler:
Learning doubly sparse transforms for image representation. ICIP 2012: 685-688 - 2011
- [j1]Saiprasad Ravishankar, Yoram Bresler:
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. IEEE Trans. Medical Imaging 30(5): 1028-1041 (2011) - [c4]Saiprasad Ravishankar, Yoram Bresler:
Adaptive sampling design for compressed sensing MRI. EMBC 2011: 3751-3755 - [c3]Saiprasad Ravishankar, Yoram Bresler:
Highly undersampled MRI using adaptive sparse representations. ISBI 2011: 1585-1588
2000 – 2009
- 2009
- [c2]Saiprasad Ravishankar, Arpit Jain, Anurag Mittal:
Automated feature extraction for early detection of diabetic retinopathy in fundus images. CVPR 2009: 210-217 - 2008
- [c1]Saiprasad Ravishankar, Arpit Jain, Anurag Mittal:
Multi-stage Contour Based Detection of Deformable Objects. ECCV (1) 2008: 483-496
Coauthor Index
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