Fuerstenzell, Germany

Philipp Seegerer


 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2018-2022

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4 patents (USPTO):Explore Patents

Title: Innovations by Philipp Seegerer

Introduction

Philipp Seegerer is a notable inventor based in Fuerstenzell, Germany. He has made significant contributions to the field of healthcare technology, particularly in the area of medical imaging. With a total of 4 patents to his name, Seegerer is recognized for his innovative approaches to enhancing diagnostic processes.

Latest Patents

Seegerer's latest patents include a method and computer for the determination of a training function for generating annotated training images. This invention involves providing a training image and training-image information to a computer, along with an isolated item of image information that is independent of the training image. The computer performs calculations using image-processing functions to adjust and determine a training function based on the results.

Another significant patent focuses on semantic segmentation for cancer detection in digital breast tomosynthesis (DBT). This method includes pre-classification of the DBT volume and localizing structures within it using a multi-stream deep convolutional neural network. The invention aims to segment different types of structures, including cancerous lesions, by calculating probabilities for each voxel in the DBT volume.

Career Highlights

Philipp Seegerer is currently employed at Siemens Healthcare GmbH, where he continues to develop innovative solutions in medical imaging. His work has contributed to advancements in the accuracy and efficiency of cancer detection methods.

Collaborations

Seegerer has collaborated with notable colleagues, including Olivier Pauly and Tommaso Mansi, to further enhance the impact of his inventions in the healthcare sector.

Conclusion

Philipp Seegerer is a prominent inventor whose work in medical imaging technology has the potential to significantly improve cancer detection methods. His innovative patents reflect his commitment to advancing healthcare solutions.

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