Sripad Joshi
Computer Science · Indiana University
Publications
10
Citations
85
Est. group size
—
Recurring co-author estimate
Active years
6
Publishing since 2020
Sripad Joshi works in computer science with a focus on applying deep learning and computer vision techniques to imaging problems. Recent work spans medical imaging, including cancer detection in breast scans, as well as agricultural applications such as monitoring fruit development. The research emphasizes building efficient models that work with limited data.
Publication activity has been irregular, with a notable spike in 2023 (seven papers) surrounded by years with little or no output, averaging under two papers per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis
arXiv (Cornell University) · 2025
- Optimal Deep Learning Model to Identify the Development of Pomegranate Fruit in Farms
International Journal of Innovative Technology and Exploring Engineering · 2020
- Zenodo (CERN European Organization for Nuclear Research)×4
- arXiv (Cornell University)×2
- Nature Communications×1
- International Journal of Innovative Technology and Exploring Engineering×1
- bioRxiv (Cold Spring Harbor Laboratory)×1
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 11, 2026.
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