This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Siemens Healthineers Ag. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Abishek Balachandran: Innovator in Body Composition Quantification
Introduction
Abishek Balachandran is a notable inventor based in Tamil Nadu, India. He has made significant contributions to the field of medical imaging, particularly in the quantification of body composition using advanced techniques.
Latest Patents
Abishek holds a patent titled "Quantification of body composition using contrastive learning in CT images." This patent describes systems and methods for quantifying body composition using contrastive learning in computed tomography (CT) data. The innovation features a segmentation model that is trained in two stages. The encoder of the segmentation model is pretrained using unlabeled data, and it is further enhanced by a decoder that is trained using labeled data. This approach improves the accuracy and efficiency of body composition analysis.
Career Highlights
Abishek is currently employed at Siemens Healthineers AG, where he applies his expertise in medical imaging and technology. His work focuses on developing innovative solutions that enhance diagnostic capabilities in healthcare.
Collaborations
Abishek collaborates with talented professionals in his field, including Bogdan Georgescu and Sasa Grbic. Their combined efforts contribute to advancing medical imaging technologies and improving patient outcomes.
Conclusion
Abishek Balachandran is a pioneering inventor whose work in body composition quantification is making a significant impact in the medical field. His innovative approaches and collaborations are paving the way for advancements in healthcare technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile