Woburn, MA, United States of America

Arun Krishnan


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):

Title: Innovations by Arun Krishnan in Automated Fracture Detection

Introduction

Arun Krishnan is an accomplished inventor based in Woburn, MA (US). He has made significant contributions to the field of automated fracture detection through his innovative use of machine learning models. His work focuses on enhancing the accuracy and efficiency of identifying rib fractures, which is crucial in medical diagnostics.

Latest Patents

Arun holds a patent for "Automated fracture detection using machine learning models." This patent outlines techniques for fracture detection, where a first image is processed to identify rib fractures. A first set of regions of interest (ROIs) is identified by processing the first image using a first machine learning model, where each ROI corresponds to a first potential fracture. The system further upsamples a first ROI of the first set of ROIs and attempts to verify the first potential fracture by processing the upsampled first ROI using a second machine learning model. This innovative approach has the potential to revolutionize how fractures are detected in clinical settings.

Career Highlights

Arun is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning applications in healthcare.

Collaborations

Arun collaborates with talented professionals in his field, including Amin Katouzian and Benedikt Werner Graf. These collaborations enhance the quality and impact of his work, fostering an environment of innovation and creativity.

Conclusion

Arun Krishnan's contributions to automated fracture detection exemplify the intersection of technology and healthcare. His innovative patent and work at IBM highlight his commitment to improving medical diagnostics through advanced machine learning techniques.

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