This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Bristol-Myers Squibb Compnay. 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: Zekai Chen and Medical Imaging Analysis Using Self-Supervised Learning.
Introduction
Zekai Chen is an inventor associated with Gaithersburg, Maryland, and Bristol Myers Squibb. His patent work focuses on applying machine learning to medical image analysis.
Latest Patents
Chen is associated with 1 patent, titled “Medical Imaging Analysis Using Self-Supervised Learning.” The disclosed method first pre-trains an image encoder through self-supervised masked image modeling using unannotated multidimensional medical images. It then trains an image analysis model, incorporating that encoder, on annotated images to predict ground-truth class labels for image voxels.
Career Highlights
Chen’s listed work connects medical imaging, self-supervised learning, and supervised model training. The approach uses unannotated images for pre-training and annotated images to teach the model voxel-level classification.
Collaborations
Chen is identified as a coworker of Kevin Alex Brown. The provided information does not specify their particular projects or working relationship.
Conclusion
Zekai Chen’s patent describes a two-stage learning approach that combines unannotated and annotated medical images to support voxel-level image analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile