Debrecen, Hungary

Dániel Attila Szabó

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Ge Precision Healthcare LLC. Active years: 2023-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dániel Attila Szabó. Retrieved from https://idiyas.com/inventor/dániel-attila-szabó

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 14.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Dániel Attila Szabó: Innovator in Multimodality Image Processing

Introduction

Dániel Attila Szabó, an accomplished inventor based in Debrecen, Hungary, has made significant contributions to the field of image processing. His innovative work focuses on enhancing the capabilities of image inferencing models through advanced techniques for generating training data from various modalities.

Latest Patents

Dániel holds a notable patent titled "Multimodality image processing techniques for training image data generation and usage thereof for developing mono-modality image inferencing models." This patent involves techniques for converting multi-modality image data into mono-modality training images. The method encompasses generating synthetic 2D images from 3D images, ensuring that both images represent the same anatomical region of the same patient. The process includes transferring essential ground truth data from the 3D image to the synthetic 2D version, which can also assist in transferring this data to actual 2D images captured of the same region.

Career Highlights

Dániel is currently employed at GE Precision Healthcare, a leading organization in healthcare technology. His work in this company underlines the intersection of IT and healthcare, demonstrating the powerful impact of innovations in medical imaging and diagnosis.

Collaborations

Dániel collaborates with talented professionals like Tao Tan and Gopal Biligeri Avinash. Their collective expertise enhances the depth and quality of research and development within the field, fostering a dynamic environment for innovation.

Conclusion

Dániel Attila Szabó's contributions to multimodality image processing exemplify the vital role of inventors in advancing technology in healthcare. His patent is a testament to the potential for improving medical imaging techniques, paving the way for better diagnosis and treatment. The collaboration with skilled individuals further amplifies his work's impact, positioning him as a notable figure in the realm of innovations.

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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