This inventor holds 1 USPTO granted patent. Top assignee: The United States of America, as Represented by the Secretary, Department of Health and Human Services. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: The Innovative Contributions of Daniel Joseph Mollura
Introduction
Daniel Joseph Mollura is a notable inventor based in Chevy Chase, MD (US). He has made significant contributions to the field of medical imaging through his innovative patent. His work focuses on enhancing image segmentation techniques, which are crucial for accurate medical diagnoses.
Latest Patents
Mollura holds a patent titled "Progressive and multi-path holistically nested networks for segmentation." This patent involves methods for processing image data through multiple stages of a progressively holistically nested convolutional neural network. The process includes producing side outputs from various network stages, which aids in generating precise image segmentations. The systems described in the patent also incorporate a 3D imaging system designed to obtain detailed imaging data for patients, enhancing the capabilities of medical professionals.
Career Highlights
Mollura is associated with the United States of America, as represented by the Secretary, Department of Health and Human Services. His work in this capacity has allowed him to contribute to advancements in healthcare technology, particularly in the realm of imaging and diagnostics.
Collaborations
Some of Mollura's notable coworkers include Adam Patrick Harrison and Ziyue Xu. Their collaborative efforts have likely played a role in the development and refinement of innovative imaging techniques.
Conclusion
Daniel Joseph Mollura's contributions to medical imaging through his patent demonstrate his commitment to advancing healthcare technology. His work continues to impact the field positively, paving the way for improved diagnostic methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
