This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Axial Medical Printing Limited. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Martin Jaere - Innovator in Medical Imaging Technology
Introduction
Martin Jaere is a prominent inventor based in Belfast, GB. He has made significant contributions to the field of medical imaging technology. His innovative work focuses on enhancing the analysis of patient-specific anatomies for pathology-specific measurements.
Latest Patents
Jaere holds a patent for "Systems and methods for automated segmentation of patient specific anatomies for pathology specific measurements." This patent describes systems and methods that facilitate multi-schema analysis of patient-specific anatomical features derived from medical images. The system is designed to receive medical images and associated metadata indicative of a selected pathology, automatically classifying the images using a segmentation algorithm. Furthermore, it employs an anatomical landmark detection algorithm that utilizes Deep Reinforcement Learning (DRL) techniques to accurately locate anatomical landmarks within the medical images. A 3D surface mesh model is generated to represent the patient-specific anatomical features, which includes the identified anatomical landmarks. These landmarks are crucial for guiding the placement of a 3D model of a medical device, ultimately creating a patient-specific 3D model of the device.
Career Highlights
Jaere is currently associated with Axial Medical Printing Limited, where he continues to develop innovative solutions in medical imaging. His work has garnered attention for its potential to improve patient outcomes through advanced imaging techniques.
Collaborations
Some of Jaere's notable coworkers include Rory Hanratty and Daniel Crawford. Their collaborative efforts contribute to the ongoing advancements in medical technology at Axial Medical Printing Limited.
Conclusion
Martin Jaere is a key figure in the realm of medical imaging innovation, with a focus on automated segmentation techniques that enhance the accuracy of pathology-specific measurements. His contributions are paving the way for improved medical practices and patient care.