San Jose, CA, United States of America

Gopalkrishna Veni


Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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5 patents (USPTO):

Title: The Innovative Journey of Gopalkrishna Veni

Introduction

Gopalkrishna Veni, an accomplished inventor based in San Jose, California, has made significant contributions to the field of image segmentation through innovative technologies. Holding five patents to his name, Veni has demonstrated a commitment to advancing medical imaging techniques that enhance the precision and effectiveness of diagnostics.

Latest Patents

His latest patents reflect a focus on cutting-edge methods in image processing. The first patent details an "Image segmentation based on a shape-guided deformable model driven by a fully convolutional network prior." This invention integrates deep learning networks with shape-guided models to improve segmentation accuracy in time sequences of images. By generating both reference and auxiliary masks from preliminary segmentations, the method allows for refined final segmentations that accurately define regions of interest.

Another notable patent is centered around "Template based anatomical segmentation of medical images." This innovative mechanism employs a multi-atlas segmentation engine that utilizes both offline and online registration components. By registering a set of annotated atlases with non-annotated medical images, the engine allows for precise segmentation of target images by applying labels to anatomical structures. This development is crucial for enhancing the efficiency and accuracy of medical image analysis.

Career Highlights

Currently, Gopalkrishna Veni is affiliated with International Business Machines Corporation (IBM), a leader in technology and innovation. His role at IBM positions him at the forefront of research and development in image processing solutions, where he continues to drive advancements in medical technology through his innovative work.

Collaborations

Veni's success has been complemented by collaborations with talented colleagues, including Mehdi Moradi and Tanveer Fathima Syeda-Mahmood. Together, they contribute to the shared goal of enhancing medical imaging capabilities and promoting the efficient usage of technology in healthcare.

Conclusion

Gopalkrishna Veni's contributions through his patents and collaborative efforts at IBM underscore his significant role in the field of image segmentation. His inventions not only reflect a deep understanding of technology but also a passion for improving medical diagnostics. As he continues to innovate, the impact of his work is poised to be felt in the healthcare sector for years to come.

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