LabCompass

Soonam Lee

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2015
Cell Image Analysis TechniquesAI in cancer detectionMedical Image Segmentation TechniquesImage Processing Techniques and ApplicationsMolecular Biology Techniques and Applications

Publications

17

Citations

268

Est. group size

—

Recurring co-author estimate

Active years

11

Publishing since 2015

Research summary
AI-generated

Soonam Lee's work centers on computational image analysis, including techniques for cell image analysis, medical image segmentation, and background subtraction using machine learning methods like restricted Boltzmann machines. The research also touches on applying AI approaches to cancer detection. This suggests a focus on developing computational and image-processing tools with applications in biology and medicine.

Cell image analysisMedical image segmentationAI for cancer detectionImage processing algorithmsMachine learning for visual data

Publication output peaked between 2017 and 2019 and has slowed substantially since 2020, with only sporadic single publications in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 0.4/year recently
2017: 2 publications172018: 6 publications6182019: 5 publications192020: 1 publication20212022: 1 publication2223242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • Author eBooks×2
  • Scientific Reports×1
  • Electronic Imaging×1
  • Journal of Medical Imaging×1
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By research-topic overlap
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  • Shuo Han

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  • Abida Sanjana Shemonti

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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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