LabCompass

Vishal Purohit

Medicine · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1994Rising activity
COVID-19 diagnosis using AIImage Processing Techniques and ApplicationsDomain Adaptation and Few-Shot LearningCell Image Analysis TechniquesAdvanced Neural Network Applications

Publications

15

Citations

234

Est. group size

—

Recurring co-author estimate

Active years

32

Publishing since 1994

Research summary
AI-generated

Vishal Purohit works on machine learning methods applied to images and signals, including generative models for image synthesis, few-shot and self-supervised learning, and applications to medical image classification and industrial sensing. Recent work focuses on diffusion/posterior-sampling techniques for generating and reconstructing images, alongside earlier projects on privacy-preserving and label-efficient learning for medical and industrial data.

Generative models and image synthesisFew-shot and self-supervised learningMedical image classificationPrivacy-preserving machine learningAI applications in industrial and geoscience data

Publication output was sparse and irregular in the earlier part of the decade but has increased since 2021, with the most active years being 2023 and 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
17182019: 2 publications19202021: 2 publications212022: 1 publication222023: 4 publications4232024: 4 publications4242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • IEEE Transactions on Industrial Informatics×2
  • Pattern Recognition×1
  • AGUFM×1
  • AGU Fall Meeting Abstracts×1
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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 20, 2026.

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