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Srinivas Seetamsetty

Observed names: S. Seetamsetty, Seetamsetty, Srinivas
OpenAlex ID: A5017529684
Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer
2022 · E. Tryggestad, A. Anand, et al. · Frontiers in Oncology · 17
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Automated testing platform for radiotherapy treatment planning scripts
2022 · Joseph John Lucido, Satomi Shiraishi, et al. · Journal of Applied Clinical Medical Physics · 9
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Knowledge-based quality assurance of a comprehensive set of organ at risk contours for head and neck radiotherapy
2024 · Jamison Brooks, Erik Tryggestad, et al. · Frontiers in Oncology · 3
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Retrospective Comparison of Radiation Oncology Patient Message Responses Generated by Epic and Institutionally Managed LLMs
2026 · Cao, Meiyun, Mastroleo, Federico, et al. · arXiv (Cornell University)
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Reducing Documentation Burden in Radiation Oncology: Automated Treatment Summaries Using a Two-Stage Large Language Model System
2026 · K.K. Lin, A.Y.K. Foong, et al. · International Journal of Radiation Oncology*Biology*Physics
The daily dose: Early usability of an LLM tool for patient summaries and trial matching in radiation oncology
2026 · Jason Holmes, Federico Mastroleo, et al. · Clinical and Translational Radiation Oncology
Works count: 6
Citation count: 29
H-index: 3
I10-index: 1
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