Cotati, CA, United States of America

Martin Cwikla

This inventor holds 1 USPTO granted patent. Top assignee: Qt Imaging, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin Cwikla. Retrieved from https://idiyas.com/inventor/martin-cwikla

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Martin Cwikla: Innovator in Machine Learning and Ultrasound Imaging

Introduction

Martin Cwikla is a prominent inventor based in Cotati, California. He has made significant contributions to the field of ultrasound imaging through his innovative application of machine learning techniques. His work focuses on enhancing the quality of ultrasound images, which is crucial for medical diagnostics.

Latest Patents

Cwikla holds a patent for the "Application of machine learning to iterative and multimodality image reconstruction." This method involves receiving imaging data at a reconstruction engine and generating an initial estimate for a transmission image via a neural network. The neural network is trained on paired transmission and reflection ultrasound data. The process allows for higher quality transmission ultrasound images by using the initial estimate as a starting point for iterative image reconstruction.

Career Highlights

Cwikla is associated with Qt Imaging, Inc., where he continues to develop and refine his innovative techniques in ultrasound imaging. His work has the potential to revolutionize how ultrasound images are reconstructed, leading to better diagnostic outcomes for patients.

Collaborations

Cwikla collaborates with talented individuals such as Bilal Malik and Nasser Charles Pirshafiey. Their combined expertise contributes to the advancement of technology in the field of medical imaging.

Conclusion

Martin Cwikla's contributions to machine learning and ultrasound imaging exemplify the impact of innovation in healthcare technology. His work not only enhances image quality but also paves the way for future advancements in medical diagnostics.

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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