This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Tata Consultancy Services Limited. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Mohana Singh - Innovator in Image Reconstruction Technologies
Introduction
Mohana Singh is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of image reconstruction, particularly through his innovative patent that enhances the quality and robustness of imaging techniques.
Latest Patents
Mohana Singh holds a patent titled "Systems and methods for reconstructing images using uncertainty loss." This patent focuses on model-based image reconstruction (MBIR) methods that utilize convolutional neural networks (CNNs) as priors. These methods have shown superior image quality compared to conventional techniques. His research explores the combination of MBIR with both supervised and unsupervised denoising techniques for applications in magnetic resonance imaging (MRI) and positron emission tomography (PET). Notably, unsupervised methods like the deep image prior (DIP) have demonstrated promising results while being less prone to hallucinations. Singh's work addresses the challenges of overfitting in noisy images by introducing Bayesian DIP (BDIP) networks that model uncertainty. His latest disclosure provides a framework that incorporates a modified BDIP with an uncertainty-based penalty to improve reconstruction across iterations. Mohana Singh has 1 patent to his name.
Career Highlights
Mohana Singh is currently employed at Tata Consultancy Services Limited, where he continues to push the boundaries of image reconstruction technologies. His work has garnered attention for its innovative approach and practical applications in medical imaging.
Collaborations
Mohana collaborates with talented individuals such as Arpan Pal and Pavan Kumar Reddy Kancham, contributing to a dynamic research environment that fosters innovation.
Conclusion
Mohana Singh's contributions to image reconstruction technologies exemplify the impact of innovative thinking in the field of medical imaging. His work not only enhances image quality but also addresses critical challenges in the industry.