Company Filing History:
4 out of 1,289 
1 out of 12 Years Active: 2019-2024
Title: Klaus Scheffler: Innovator in Magnetic Resonance Technology
Introduction
Klaus Scheffler is a prominent inventor based in Tuebingen, Germany. He has made significant contributions to the field of magnetic resonance imaging (MRI) and machine learning. With a total of 4 patents, his work has advanced the capabilities of MRI technology and data processing.
Latest Patents
One of Klaus Scheffler's latest patents focuses on machine learning-based processing of magnetic resonance data, including an uncertainty quantification. This method involves the collection of MR data using an MRI scanner and the application of machine learning techniques to analyze the data. The artificial neural network utilized in this process is trained with predetermined data, allowing for the output of image parameters and uncertainty quantification measures that represent prediction errors.
Another notable patent involves magnetic resonance tomography (MRT) imaging, which employs radiofrequency (RF) receive coils with temporal sensitivity profile modulation. This method arranges an object in a static magnetic field and subjects it to RF pulses and magnetic field gradients to create spatial encoding of magnetic resonance signals. The signals are acquired using multiple RF receive coils, and the reconstruction of the object image utilizes the modulation for additional spatial information.
Career Highlights
Klaus Scheffler has worked with esteemed organizations such as the Max Planck Society for the Advancement of Science and Eberhard Karls University of Tuebingen. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Some of Klaus Scheffler's notable coworkers include Moritz Zaiss and Shajan Gunamony. Their collaborative efforts have further enhanced the research and development of innovative technologies in magnetic resonance imaging.
Conclusion
Klaus Scheffler's contributions to the field of magnetic resonance technology and machine learning have established him as a key figure in the industry. His innovative patents and collaborations continue to influence advancements in MRI technology.