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Anish Lahiri
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Journal Articles
- 2023
- [j3]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) - 2021
- [j2]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) - 2019
- [j1]Luis Hernandez-Garcia
, Anish Lahiri, Jonas Schollenberger
:
Recent progress in ASL. NeuroImage 187: 3-16 (2019)
Conference and Workshop Papers
- 2024
- [c3]Taihui Li, Anish Lahiri, Yutong Dai, Owen Mayer:
Joint Demosaicing And Denoising With Double Deep Image Priors. ICASSP 2024: 4005-4009 - 2022
- [c2]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 - 2018
- [c1]Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker
, Jeffrey A. Fessler:
Deep dictionary-transform learning for image reconstruction. ISBI 2018: 1208-1212
Informal and Other Publications
- 2023
- [i4]Taihui Li, Anish Lahiri, Yutong Dai, Owen Mayer:
Joint Demosaicing and Denoising with Double Deep Image Priors. CoRR abs/2309.09426 (2023) - 2022
- [i3]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) - [i2]Shijun Liang, Anish Lahiri, Saiprasad Ravishankar:
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data. CoRR abs/2206.00775 (2022) - 2019
- [i1]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)
Coauthor Index
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