Weilersbach, Germany

Daniel Lerch

USPTO Granted Patents = 19 

 

Average Co-Inventor Count = 3.1

ph-index = 6

Forward Citations = 94(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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19 patents (USPTO):Explore Patents

Title: The Innovations of Daniel Lerch: Pioneering Advances in Machine Learning and Imaging Technologies

Introduction

Daniel Lerch, a prominent inventor based in Weilersbach, Germany, has made significant contributions to the field of machine learning and medical imaging. With a remarkable portfolio of 19 patents, he has consistently driven innovation in his areas of expertise, particularly through his latest inventions that enhance the capabilities of imaging systems.

Latest Patents

Among Daniel's most noteworthy patents is a method for generating a trained machine learning algorithm. This invention involves provisioning a training apparatus with a machine learning algorithm that connects securely to a medical-engineering imaging system. The method creates multiple training datasets based on image recordings, each linked to a ground truth, enabling efficient training of the algorithm. This trained machine learning algorithm is central to advancing imaging technologies and improving diagnostic accuracy.

Another of his significant inventions is a computer-implemented method for determining main acquisition parameters for x-ray image acquisition. This technology focuses on optimizing the dose of x-rays emitted during imaging, utilizing preparatory images to assess conditions and parameters for improved image quality and patient safety.

Career Highlights

Daniel Lerch has had a distinguished career, having worked with esteemed companies such as Siemens Healthcare GmbH and Siemens Aktiengesellschaft. His affiliation with these leading firms underscores his role in developing cutting-edge technologies that impact both the medical and engineering fields.

Collaborations

Collaboration has been key to Daniel's innovative work, having partnered with notable colleagues like Carsten Thierfelder and Florian Hilbig. Their combined expertise has contributed to the successful development and implementation of advanced algorithms and imaging techniques that push the boundaries of current technology.

Conclusion

Daniel Lerch's contributions to the realms of machine learning and medical imaging are exemplary of innovation in action. With 19 patents to his name, his work continues to influence the development of technologies aimed at improving healthcare outcomes. As he forges ahead in his career, the impact of his inventions is set to expand, further enhancing the synergy between machine learning and medical imaging.

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