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R. Ahmad

22 papers hereh-index 221.6k citations115 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author10
  • last author10

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • eess.IV14
  • cs.IT4
  • cs.CV2
  • eess.SP2
same name
  • R. Ahmad — 10 papers, h 14
  • R. Ahmad — 5 papers, h 9
  • R. Ahmad — 4 papers, h 15
  • R. Ahmad — 3 papers, h 2
  • R. Ahmad — 2 papers, h 18
  • R. Ahmad — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedPlug and play methods for magnetic resonance imaging (long version)

262 citations · 352 across the 20 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2022★ 1 cited

Expectation Consistent Plug-and-Play for MRI

Saurav K Shastri, Rizwan Ahmad, Christopher A Metzler +1

For image recovery problems, plug-and-play (PnP) methods have been developed that replace the proximal step in an optimization algorithm with a call to an application-specific deno…

cs.IT2020

Autotuning Plug-and-Play Algorithms for MRI

Saurav K. Shastri, Rizwan Ahmad, Philip Schniter

For magnetic resonance imaging (MRI), recently proposed "plug-and-play" (PnP) image recovery algorithms have shown remarkable performance. These PnP algorithms are similar to tradi…

cs.IT2020

MRI Image Recovery using Damped Denoising Vector AMP

Subrata Sarkar, Rizwan Ahmad, Philip Schniter

Motivated by image recovery in magnetic resonance imaging (MRI), we propose a new approach to solving linear inverse problems based on iteratively calling a deep neural-network, so…

cs.IT2015★ 6 cited

Iteratively Reweighted ℓ1​ Approaches to Sparse Composite Regularization

Rizwan Ahmad, Philip Schniter

Motivated by the observation that a given signal x admits sparse representations in multiple dictionaries Ψd​ but with varying levels of sparsity across…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.