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Proceedings. International Conference on Image Processing|February 23, 2021
CONVEX CLUSTERING AND RECOVERY OF PARTIALLY OBSERVED DATASunrita Poddar, Mathews JacobProceedings. IEEE International Symposium on Biomedical Imaging|February 23, 2021
RECOVERY OF POINT CLOUDS ON SURFACES: APPLICATION TO IMAGE RECONSTRUCTIONSunrita Poddar, Mathews JacobProceedings. IEEE International Symposium on Biomedical Imaging|August 6, 2021
RECONSTRUCTION AND SEGMENTATION OF PARALLEL MR DATA USING IMAGE DOMAIN DEEP-SLRAniket Pramanik, Mathews JacobSIAM Journal on Imaging Sciences|August 2, 2021
Recovery of surfaces and functions in high dimensions: sampling theory and links to neural networksQing Zou, Mathews JacobIEEE Transactions on Computational Imaging|June 19, 2018
A Fast Algorithm for Convolutional Structured Low-rank Matrix RecoveryGreg Ongie, Mathews JacobSIAM Journal on Imaging Sciences|July 6, 2018
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier SamplesGreg Ongie, Mathews JacobIEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|March 5, 2021
Clustering of Data with Missing Entries using Non-convex Fusion PenaltiesSunrita Poddar, Mathews JacobProceedings. IEEE International Symposium on Biomedical Imaging|February 23, 2021
COMPARTMENTALIZED LOW-RANK REGULARIZATION WITH ORTHOGONALITY CONSTRAINTS FOR HIGH-RESOLUTION MRSIIpshita Bhattacharya, Mathews JacobIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 28, 2012
Nonlocal regularization of inverse problems: a unified variational frameworkZhili Yang, Mathews JacobMedical Journal, Armed Forces India|May 21, 2014
The challenge in management of hemorrhagic shock in traumaMathews Jacob, Praveen KumarPageof 113