LabCompass

Satyaki Roy Chowdhury

Neuroscience · The Ohio State University

OpenAlex
Early career · publishing since 2018
Brain Tumor Detection and ClassificationAdvanced Neural Network ApplicationsMedical Image Segmentation TechniquesQuantum Chromodynamics and Particle InteractionsHigh-Energy Particle Collisions Research

Publications

10

Citations

183

Est. group size

—

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Satyaki Roy Chowdhury's recent work applies deep learning and neural network methods to image analysis tasks, including brain tumor segmentation from medical scans and depth/bathymetry estimation from satellite imagery. The OpenAlex topic data also lists particle physics topics, though the recent publication titles focus specifically on medical imaging and remote sensing applications of neural networks. This profile suggests a focus on applying advanced computational imaging techniques across different domains.

Medical image segmentationNeural network applicationsBrain tumor detectionSatellite/remote sensing imagery analysisUncertainty estimation in deep learning

Publication output was minimal or absent for most of the last decade but shows a recent sharp increase starting in 2025 and continuing into 2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
172018: 1 publication182019: 1 publication1920212223242025: 2 publications252026: 6 publications626
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • The European Physical Journal C×1
  • Journal of High Energy Physics×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 19, 2026.

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