LabCompass

Lauren Christopher

Engineering · Purdue University West Lafayette

Established · publishing since 1988Rising activity

Publications

74

Citations

349

Est. group size

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Lauren Christopher's work centers on computer vision and machine learning, including analysis of medical images (such as brain MRI/MRA scans), vehicle re-identification from images, and methods for detecting anomalies and evaluating the robustness of AI models. Much of the research involves deep learning techniques applied to visual data, including generating synthetic image datasets and studying how well models handle variations like rotation or image distortion.

Medical image analysisVehicle re-identification and vision transformersAdversarial robustness and anomaly detection in AI modelsSynthetic data generation for computer visionAutonomous vehicle and surveillance imaging

Publication activity has grown over the last decade, with a notable surge in 2024 following a relatively steady output in prior years.

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

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 1 publication172018: 4 publications182019: 3 publications192020: 2 publications202021: 3 publications212022: 5 publications222023: 3 publications232024: 16 publications16242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • Author eBooks×3
  • IEEE Transactions on Intelligent Transportation Systems×2
  • Neuro-Oncology×1
  • JAMA Network Open×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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