Maximilian Reymann

Title: Maximilian Reymann: Innovator in Neural Network-Assisted Dose Assessment

Introduction

Maximilian Reymann is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of medical imaging and radiation dose assessment. His innovative work focuses on utilizing neural networks to enhance the accuracy of dose assessments in medical applications.

Latest Patents

Maximilian Reymann holds a patent for a system and method titled "Neural network-assisted dose assessment based on activity image." This patent involves the acquisition of multiple images that represent radiotracer concentration over time. The method trains a neural network to output data indicative of radiation dose associated with specific volumes and time periods, improving the precision of dose assessments in medical imaging.

Career Highlights

Reymann is currently employed at Siemens Medical Solutions USA, Inc., where he applies his expertise in medical technology. His work at Siemens has allowed him to contribute to advancements in imaging technologies that are crucial for patient care and treatment planning.

Collaborations

Maximilian collaborates with Alexander Hans Vija, who is also involved in the field of medical imaging. Their partnership enhances the development of innovative solutions in dose assessment and imaging technologies.

Conclusion

Maximilian Reymann's contributions to neural network-assisted dose assessment represent a significant advancement in medical imaging technology. His work not only improves the accuracy of radiation dose assessments but also enhances patient safety and treatment efficacy.