This inventor holds 3 USPTO granted patents. Top assignee: Siemens Aktiengesellschaft. Active years: 2008-2013.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008-2013
Title: Martin Stetter: Innovator in Neural Networks and Prostate Disease Diagnostics
Introduction
Martin Stetter is a prominent inventor based in Munich, Germany. He has made significant contributions to the fields of neural networks and medical diagnostics. With a total of 3 patents, his work reflects a commitment to advancing technology and improving healthcare outcomes.
Latest Patents
Stetter's latest patents include a method for computer-aided learning of a neural network. This innovative method involves a neural network with multiple layers, where input information is represented by characteristic values. The first layer processes this information, while the second layer categorizes it, allowing for dynamic adjustments based on comparison results. Another notable patent is a screening test for recognizing prostate diseases. This method utilizes a diagnostic substance containing biomarkers linked to ferromagnetic particles, which are detected using a magnetometer to assess pathological prostate tissue.
Career Highlights
Martin Stetter is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His work at Siemens has allowed him to explore cutting-edge technologies and contribute to significant advancements in both artificial intelligence and medical diagnostics.
Collaborations
Stetter has collaborated with esteemed colleagues such as Gustavo Deco and Bernd Schürmann. These partnerships have fostered a collaborative environment that enhances innovation and research in their respective fields.
Conclusion
Martin Stetter's contributions to neural networks and prostate disease diagnostics exemplify the impact of innovative thinking in technology and healthcare. His patents not only advance scientific knowledge but also hold the potential to improve patient outcomes significantly.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
