Nuremberg, Germany

Dubravka Ukalovic


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovator in X-ray Radiation Detection: Dubravka Ukalovic

Introduction: Dubravka Ukalovic is a notable inventor based in Nuremberg, Germany, recognized for her innovative contributions in the field of imaging technology. With a strong focus on enhancing the capabilities of X-ray radiation detection, her work has significant implications for medical imaging and diagnostics.

Latest Patents: Dubravka holds a patent for an advanced system designed to detect X-ray radiation. This invention incorporates photon-counting X-ray CT scanners and corresponding edge devices. Each edge device is capable of determining a quality indicator that reflects the quality of the sensor data based on scanner data. Moreover, these devices generate a parameterized machine learning model by optimizing this quality indicator. The server device plays a critical role by receiving the models from the edge devices, aggregating them into a cohesive parameterized machine learning model, and subsequently sending part of the aggregated model back to the edge devices for further refinement.

Career Highlights: Currently, Dubravka is affiliated with Siemens Healthineers AG, a leading global healthcare company. Her position enables her to contribute to cutting-edge innovations in medical technology, further advancing her impact on the industry.

Collaborations: During her career, Dubravka has collaborated with skilled professionals including Michael Schrapp and Erick Arruda Camara Ferreira. These partnerships have likely fostered a dynamic exchange of ideas and expertise, enhancing the overall innovation process.

Conclusion: Dubravka Ukalovic stands out as an influential figure in the realm of X-ray radiation detection. Her dedication to improving medical imaging technologies through innovative patents solidifies her role as a pivotal inventor in this critical field. With continued collaborations and advancements, her work holds promising potential for the future of healthcare diagnostics.

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