Company Filing History:
Years Active: 2021-2024
Title: Inventor Spotlight: Sebastian Andersson
Introduction
Sebastian Andersson is a notable inventor based in Stockholm, Sweden, with a remarkable portfolio of three patents. His innovative contributions, particularly in the field of medical imaging and machine learning, have the potential to transform how healthcare professionals visualize and interpret patient data.
Latest Patents
Sebastian's latest inventions showcase advanced techniques in imaging technology. One of his patents, titled "System and method for training a machine learning model and for providing an estimated interior image of a patient," involves a deep learning model that generates an estimated image of a patient's interior based on various image sets. This model optimizes a parameterized conversion function G, which establishes the correlation between the patient's interior and their outer contour derived from the images.
Another significant patent, "System and method for providing an extended image of a patient," introduces a computer-based method for obtaining a three-dimensional image of a specific part of a patient's body. This method relies on a limited field-of-view fraction image, which is extended using information from a surface scan of the patient's outline. By utilizing anatomical data from the planning image, the outline is complemented through contour-guided deformable registration.
Career Highlights
Throughout his career, Sebastian has worked with esteemed companies, notably RaySearch Laboratories AB, where he has applied his expertise in imaging and machine learning. His work in this innovative environment has enabled the advancement of various technologies that enhance patient visualization techniques.
Collaborations
Sebastian has collaborated with talented individuals in his field, including Stina Svensson and Ola Weistrand. These partnerships have contributed to the success and development of groundbreaking technologies in the healthcare industry.
Conclusion
Sebastian Andersson's contributions to the fields of machine learning and medical imaging exemplify the spirit of innovation. With a focus on enhancing patient care through advanced imaging technologies, his work continues to inspire future innovations within the medical field.