Anish Lahiri

According to our database, Anish Lahiri authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data.

Anish Lahiri, Gabriel Maliakal, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar

IEEE Trans. Computational Imaging, 2023

Joint Demosaicing and Denoising with Double Deep Image Priors.

Taihui Li, Anish Lahiri, Yutong Dai, Owen Mayer

CoRR, 2023

2022

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data.

Shijun Liang, Anish Lahiri, Saiprasad Ravishankar

CoRR, 2022

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data.

Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar

CoRR, 2022

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data.

Shijun Liang, Ashwin Sreevatsa, Anish Lahiri, Saiprasad Ravishankar

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction.

Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler

IEEE Trans. Medical Imaging, 2021

2019

Recent progress in ASL.

Luis Hernandez-Garcia, Anish Lahiri, Jonas Schollenberger

NeuroImage, 2019

Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression.

Anish Lahiri, Jeffrey A. Fessler, Luis Hernandez-Garcia

CoRR, 2019

2018

Deep dictionary-transform learning for image reconstruction.

Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018