LabCompass

Philip Schniter

Engineering · The Ohio State University

Established · publishing since 1995

Publications

260

Citations

14,039

Est. group size

~8

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Philip Schniter works on signal processing and machine learning methods for image reconstruction, focusing especially on accelerated MRI, including cardiac imaging. His recent work applies generative models (such as diffusion models, GANs, and normalizing flows) and statistical tools like conformal prediction to reconstruct images from limited data and quantify uncertainty in these reconstructions. Earlier career work also included topics like compressive sensing and wireless communications.

MRI image reconstructionGenerative models for inverse problems (diffusion models, GANs, normalizing flows)Uncertainty quantification and conformal predictionCardiac imaging and image registrationSparse/compressive sensing and signal processing

Publication output has been relatively steady over the last decade, with a dip around 2021-2023 followed by a rebound to higher activity 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 6.8/year recently
2017: 11 publications172018: 11 publications182019: 9 publications192020: 10 publications202021: 7 publications212022: 6 publications222023: 6 publications232024: 12 publications12242025: 9 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×31
  • IEEE Transactions on Signal Processing×9
  • 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×5
  • PubMed×4
  • IEEE Transactions on Information Theory×3
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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.

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