Company Filing History:
2 out of 1,244 
1 out of 2,018 
Years Active: 2019-2022
Title: Innovations of James Sloan
Introduction
James Sloan is an accomplished inventor based in Edinburgh, GB. He has made significant contributions to the field of medical imaging technology, holding a total of 3 patents. His work focuses on advanced registration methods and apparatuses that enhance the accuracy of medical image processing.
Latest Patents
Sloan's latest patents include innovative registration methods and apparatuses. One of his notable inventions involves an apparatus that comprises processing circuitry configured to receive a plurality of training image data sets and predetermined displacements. This processing circuitry is designed to train a transformation regressor in combination with a discriminator in an adversarial fashion. The process involves alternating between training the transformation regressor to predict displacements and training the discriminator to distinguish between predetermined displacements and those predicted by the regressor. Another patent details a similar apparatus that applies a transformation regressor to perform a registration process between first and second medical image data, obtaining a predicted displacement representative of the transformation between the two data sets.
Career Highlights
Throughout his career, James Sloan has worked with prominent companies in the medical technology sector, including Canon Medical Systems Corporation and Toshiba Medical Systems Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical imaging.
Collaborations
Sloan has collaborated with notable professionals in his field, including Keith Goatman and Owen Anderson. Their combined expertise has contributed to the advancement of medical imaging technologies.
Conclusion
James Sloan's contributions to medical imaging through his patents and collaborations highlight his role as a significant innovator in the field. His work continues to influence advancements in medical technology, improving the accuracy and efficiency of image processing.