This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Rensselaer Polytechnic Institute. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Innovations in Medical Imaging by Mannudeep Kalra
Introduction
Mannudeep Kalra is an accomplished inventor based in Lexington, MA (US). He has made significant contributions to the field of medical imaging, particularly in the integration of tomographic image reconstruction and radiomics using neural networks. His innovative approach aims to enhance the accuracy and efficiency of diagnostic processes in medical imaging.
Latest Patents
Mannudeep Kalra holds a patent for "Systems and methods for integrating tomographic image reconstruction and radiomics using neural networks." This patent focuses on utilizing computed tomography (CT) screening, diagnosis, and other image analysis tasks through advanced networks and algorithms. The invention allows for the integration of complementary tomographic image reconstructions and radiomics or directly maps tomographic raw data to diagnostic findings within a machine learning framework. The system trains reconstruction networks to create tomographic images from CT projection data and radiomics networks to extract features from these images. The end-to-end network processes input data to produce potential diagnoses based on extracted features. This innovative system can be applied to various types of tomographic data, including CT, MRI, nuclear imaging, and ultrasound signals.
Career Highlights
Mannudeep Kalra is affiliated with Rensselaer Polytechnic Institute, where he continues to advance research in medical imaging technologies. His work has garnered attention for its potential to revolutionize diagnostic methodologies in healthcare.
Collaborations
Mannudeep collaborates with notable colleagues, including Ge Wang and Juergen Hahn, who contribute to the development and refinement of his innovative systems.
Conclusion
Mannudeep Kalra's contributions to medical imaging through his patented innovations demonstrate the potential of integrating advanced technologies in healthcare. His work not only enhances diagnostic accuracy but also paves the way for future advancements in medical imaging.