Deep dictionary-transform learning for image reconstruction. - Saiprasad Ravishankar; Anish Lahiri; Cameron Blocker; Jeffrey A. Fessler (ISBI, 2018)

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)

Recent progress in ASL. - Luis Hernandez-Garcia; Anish Lahiri; Jonas Schollenberger (NeuroImage, 2019)

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. - Anish Lahiri; Guanhua Wang; Saiprasad Ravishankar; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2021)

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data. - Shijun Liang; Ashwin Sreevatsa; Anish Lahiri; Saiprasad Ravishankar (ISBI, 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)

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 004; Owen Mayer (ICASSP, 2024)

Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data. - Shijun Liang; Anish Lahiri; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2024)