CORBEIL-ESSONNES, France

Didier Smadja

This inventor holds 1 USPTO granted patent. Top assignees: Centre Hospitalier Sud Francilien, Université D'evry-Val-D'essonne. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Didier Smadja. Retrieved from https://idiyas.com/inventor/didier-smadja

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Didier Smadja and Medical Image Segmentation

Introduction

Didier Smadja is an inventor associated with Corbeil-Essonnes, France. His patent work includes a method for automatically segmenting a thrombus and a related lesion in a three-dimensional brain image.

Latest Patents

The listed patent, “Automatic Method for Segmentation of a Thrombus and a Lesion in a Three-Dimensional Brain Image,” describes using two trained recurrent artificial neural networks. One network predicts the lesion, while the other predicts the thrombus. Their predictions are merged into sets of segmentations; for the lesion, the method selects the widest segmentation when one is available. The approach is intended to support analysis of brain images by identifying both the thrombus and the lesion it caused. The provided data lists 1 patent for Smadja.

Career Highlights

Smadja’s listed institutional affiliations include Université d’Évry-Val-d’Essonne and Centre Hospitalier Sud Francilien. These affiliations connect his work with university and hospital settings.

Collaborations

The provided information names Vincent Vigneron and Jonathan Kobold as Smadja’s coworkers.

Conclusion

Didier Smadja’s listed invention applies recurrent neural networks to the segmentation of thrombi and related lesions in three-dimensional brain images, reflecting a focus on medical imaging and computational analysis.

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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