LabCompass

Syed Murtaza Arshad

Medicine · The Ohio State University

Mid career · publishing since 2009Rising activity

Publications

22

Citations

22

Est. group size

~9

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Syed Murtaza Arshad works on cardiac and cardiovascular MRI, developing new methods to capture moving images of the heart and blood flow more quickly and with fewer motion-related errors, including during exercise. This work combines MRI physics, motion-correction algorithms, and machine learning (such as deep image priors) to reconstruct clearer, motion-robust images of the heart in 3D, 4D (3D plus time), and 5D (3D plus time plus cardiac/respiratory motion states).

Cardiac and cardiovascular MRIMotion-robust image reconstructionDeep learning for MRI reconstructionExercise stress cardiac imaging4D/5D flow and cine MRI

Publication output has grown quickly since 2023, rising from zero output in the prior years to a steady stream of 7-8 publications per year in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
1718192021222023: 2 publications232024: 7 publications242025: 8 publications8252026: 2 publications26
Recent publications
Publishes in
  • Journal of Cardiovascular Magnetic Resonance×6
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition×4
  • arXiv (Cornell University)×3
  • Magnetic Resonance in Medicine×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

Claim or correct this profile