Bengaluru, India

Nithin Shivshankar

This inventor holds 1 USPTO granted patent. Top assignee: Psip2 LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nithin Shivshankar. Retrieved from https://idiyas.com/inventor/nithin-shivshankar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nithin Shivshankar: Inventor in Medical Image Analysis.

Introduction

Nithin Shivshankar is an inventor based in Bengaluru, India. His work includes a patented method for creating annotated datasets to support machine learning analysis of medical images.

Latest Patents

Shivshankar is associated with 1 patent, titled “Generating Ground Truth Annotated Dataset for Analysing Medical Images.” The method semi-automatically creates annotated datasets for training machine-learning systems to segment lesions in medical images. It uses a trained segmentation model to generate masks, applies a geometric filter to validate them, and updates the model using validated masks. The updated model then generates further masks, which an operator can review through a user interface. Images with validated masks are selected to form the ground-truth dataset.

Career Highlights

Shivshankar works at Psip2 LLC. His patent focuses on a workflow that combines automated segmentation, geometric validation, model updates, and operator review to prepare medical-image data for machine-learning applications.

Collaborations

His listed coworkers include Prithvi Prakash and Warsha Barde.

Conclusion

Nithin Shivshankar’s patent describes a semi-automated approach to producing validated, annotated medical-image datasets for lesion-segmentation research and development.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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