Sebastian Sanduleanu

Title: Innovations by Sebastian Sanduleanu

Introduction

Sebastian Sanduleanu is an innovative inventor based in Brunssum, Netherlands. He has made significant contributions to the field of machine learning and medical imaging. His work focuses on developing methods that enhance the understanding of neoplasms in human and animal bodies.

Latest Patents

Sebastian Sanduleanu holds a patent for a "Method of training a machine learning data processing model, method of determining a hypoxia status of a neoplasm in a human or animal body, and system therefore." This patent describes a training method for a machine learning model, specifically a random forest model, aimed at determining the hypoxia status of neoplasms. The method involves obtaining 3D imaging data for various neoplasms and determining a hypoxic volume fraction for each data sample. It iterates through a sequence of training steps, selecting subsets of image features and generating decision trees to create a momentary random forest model. The process continues until all image features have been selected at least once, ultimately leading to a trained model based on preferred image features.

Career Highlights

Sebastian Sanduleanu is affiliated with Maastricht University, where he contributes to research and development in the field of machine learning and medical imaging. His work is pivotal in advancing the understanding of hypoxia in neoplasms, which can have significant implications for cancer treatment and diagnosis.

Collaborations

[This section has been skipped due to space constraints.]

Conclusion

Sebastian Sanduleanu's innovative work in machine learning and medical imaging exemplifies the potential of technology to improve healthcare outcomes. His contributions are paving the way for advancements in understanding neoplasms and their hypoxic status.