Edinburgh, United Kingdom

Paul Norman


Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2015-2017

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2 patents (USPTO):Explore Patents

Title: Paul Norman: Innovator in Medical Image Processing

Introduction

Paul Norman is a distinguished inventor based in Edinburgh, GB. He has made significant contributions to the field of medical image processing, holding a total of 2 patents. His work focuses on enhancing the accuracy and efficiency of medical data analysis.

Latest Patents

Among his latest patents is a "Medical data processing apparatus and method." This invention features a structure identification unit that automatically identifies anatomical structures within a medical image data set. Additionally, it includes a metadata unit that validates or populates metadata associated with the medical image data set based on the identified structures. Another notable patent is for a "Vascular tree from anatomical landmarks and a clinical ontology." This apparatus processes medical image data to identify landmarks corresponding to parts of branching structures, utilizing a stored anatomical representation and a spatial analysis unit to determine the spatial configuration of these structures.

Career Highlights

Paul has worked with prominent companies in the medical technology sector, including Toshiba Medical Systems Corporation and Kabushiki Kaisha Toshiba. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in medical imaging.

Collaborations

Throughout his career, Paul has collaborated with talented professionals, including Rachel Louise Koktava and Ian Poole. These partnerships have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Paul Norman's contributions to medical image processing demonstrate his commitment to innovation and excellence in the field. His patents reflect a deep understanding of medical technology and a desire to improve patient outcomes through advanced imaging techniques.

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