Boston, MA, United States of America

Sarah E Gerard

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Sarah E Gerard: Innovating Pulmonary Fissure Detection through Deep Learning

Introduction

Sarah E Gerard, based in Boston, MA, is an accomplished inventor who has made significant contributions to the field of medical imaging. With a focus on enhancing the accuracy of pulmonary fissure detection, her innovative approach utilizes advanced deep learning techniques. This innovation not only showcases her inventiveness but also her commitment to improving healthcare outcomes through technology.

Latest Patents

Sarah holds a patent titled "Fissurenet: a deep learning approach for pulmonary fissure detection in CT images." This groundbreaking patent presents systems and methods that provide precise fissure detection in CT images, achieving improved performance, accuracy, and specificity. The patented method involves imaging the lungs using a computed tomography system, generating CT images, and determining both approximate and precise fissure locations within the images. The outcome is an enhanced image of the lung that clearly indicates the fissure location.

Career Highlights

Throughout her career, Sarah has been associated with the University of Iowa Research Foundation, where she continues to work on advancing technologies in medical imaging. Her ability to bridge the gap between innovative machine learning techniques and practical medical applications underscores her role as a pivotal figure in her field.

Collaborations

Sarah collaborates with esteemed colleagues, including Joseph M Reinhardt, to further her research endeavors. Together, they contribute to the evolution of methodologies that enhance diagnostic accuracy in medical imaging, benefitting both healthcare professionals and patients alike.

Conclusion

In conclusion, Sarah E Gerard stands out as a visionary inventor whose work in pulmonary fissure detection through deep learning is set to transform the field of medical imaging. Her patent reflects a blend of technological advancement and practical application, highlighting her dedication to innovation in healthcare. As her career progresses, further contributions to the field are eagerly anticipated.

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