Chapel Hill, NC, United States of America

Julian Rosenman


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Julian Rosenman

Introduction

Julian Rosenman is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of medical technology, particularly in the area of cancer diagnosis and staging. His work focuses on improving the accuracy and efficiency of cancer assessments through advanced imaging and data analysis.

Latest Patents

Rosenman holds a patent for "Automatic staging of non-small cell lung cancer from medical imaging and biopsy reports." This innovative system and method provide a comprehensive approach to automatically stage non-small cell lung cancer. The process involves receiving patient data, which includes medical images and biopsy reports. The T-stage of the cancer is determined based on the location and size of tumors identified in the patient data. Additionally, the N-stage is evaluated by combining metastasis assessments from both medical images and biopsy reports. Finally, the M-stage is determined through evaluations of metastasis to anatomical structures. The output includes the T-stage, N-stage, and M-stage, enhancing the diagnostic process for healthcare professionals.

Career Highlights

Julian Rosenman is associated with Siemens Medical Solutions USA, Inc., where he applies his expertise in medical imaging and cancer research. His work has contributed to advancements in the field, making significant impacts on patient care and treatment strategies.

Collaborations

Rosenman has collaborated with esteemed colleagues, including Zhoubing Xu and Ali Kamen. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Julian Rosenman's contributions to medical technology, particularly in cancer staging, highlight the importance of innovation in healthcare. His work not only advances medical imaging techniques but also improves patient outcomes through more accurate cancer assessments.

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