This inventor holds 1 USPTO granted patent. Top assignees: Doheny Eye Institute, University of California. Active years: 2025.
Company Filing History:
1 out of 73 
1 out of 15,964 
Years Active: 2025
Title: Muneeswar Gupta: Innovator in Retinal Disease Biomarker Prediction
Introduction
Muneeswar Gupta is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the field of retinal disease diagnosis through innovative technologies. His work focuses on utilizing deep learning methods to enhance the detection of biomarkers in optical coherence tomography (OCT) images.
Latest Patents
Muneeswar Gupta holds a patent for a groundbreaking invention titled "Retinal disease biomarker prediction by stacking slices of 3D OCT image to reshape into 2D image and applying trained feature extractor and CNN." This patent describes methods and systems for detecting biomarkers within OCT volumes using deep learning techniques. The invention addresses the challenge of limited training data by leveraging a large external dataset of foveal scans through transfer learning. The approach involves representing the three-dimensional OCT volume by 'tiling' each slice into a single two-dimensional image, which allows for improved analysis of local spatial structures. The methods developed can identify the presence or absence of age-related macular degeneration (AMD)-related biomarkers with accuracy comparable to that of clinicians. Additionally, the models can be trained to predict the progression of these biomarkers over time.
Career Highlights
Muneeswar Gupta has worked with esteemed institutions such as the University of California and the Doheny Eye Institute. His experience in these organizations has allowed him to collaborate with leading experts in the field of ophthalmology and deep learning.
Collaborations
Some of Muneeswar Gupta's notable coworkers include Eran Halperin and Nadav Rakocz. Their collaborative efforts have contributed to the advancement of research in retinal disease detection.
Conclusion
Muneeswar Gupta's innovative work in retinal disease biomarker prediction showcases the potential of deep learning technologies in medical diagnostics. His contributions are paving the way for more accurate and efficient detection methods in ophthalmology.