Erlangen, Germany

Mario Zeller

This inventor holds 159 USPTO granted patents and 57 published patent applications and 41 EPO patents, primarily in Magnetic Resonance Imaging (CPC class G01R33-4835). Top assignees: Siemens Healthcare Gmbh, Siemens Healthineers Ag, Siemens Aktiengesellschaft. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mario Zeller. Retrieved from https://idiyas.com/inventor/mario-zeller

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 159 

% Patents Active = 93.1

 

Average Co-Inventor Count = 1.8

ph-index = 3

Forward Citations = 55(Granted Patents)

Forward Citations (Not Self Cited) = 30(Dec 10, 2025)


Inventors with similar research interests:

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Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Magnetic Resonance Imaging
Motion Correction
Image Data Optimization
Artifact Avoidance
Neural Networks
Multi-Slice Technique
Calibration Data
Diagnostic Measurement
Dynamic Diffusion-Weighting
Field of View
Chemical Shift Artifacts
Wave-CAIPI
159 patents (USPTO):Explore Patents

Title: Mario Zeller: Innovating Magnetic Resonance Technology

Introduction:

Mario Zeller, a renowned inventor hailing from Erlangen, Germany, has made significant contributions to the field of magnetic resonance imaging (MRI) technology. With a remarkable portfolio of patents and a successful career at esteemed organizations like Siemens Healthcare GmbH and Siemens Aktiengesellschaft, Zeller has left an indelible mark on the industry.

Latest Patents:

Zeller's recent patents showcase his expertise in developing advanced systems and methods for magnetic resonance scans. One noteworthy patent is his invention of a system and method for setting a field of view (FOV) for an MRI scan. This computer-implemented method utilizes distortion maps and exclusion information to determine optimal parameters for the magnetic resonance scan, resulting in more accurate and reliable imaging results.

Another cutting-edge patent by Zeller focuses on computer-implemented magnetic resonance operations. In this invention, Zeller addresses the challenge of crosstalk between MR data slices by developing an ordering rule and an adaptation rule. By evaluating crosstalk criteria and modifying the acquisition order accordingly, Zeller's innovation ensures minimal interference and improved precision in acquiring MR data from multiple slices simultaneously.

Career Highlights:

During his time at Siemens Healthcare GmbH and Siemens Aktiengesellschaft, Zeller has established himself as a respected figure in the field. He has been responsible for a staggering number of 119 patents, further solidifying his expertise in magnetic resonance technology. Zeller's dedication to innovation has consistently propelled advancements in MRI, benefitting both the medical community and patients worldwide.

Collaborations:

Zeller's collaborative efforts with skilled professionals in the industry have played a vital role in his success. Notably, he has worked closely with Dominik Paul and Flavio Carinci, fellow innovators who have contributed significantly to the field. Through their combined expertise and shared vision, these collaborations have led to groundbreaking advancements in the domain of magnetic resonance technology.

Conclusion:

Mario Zeller's exceptional contributions to magnetic resonance imaging technology have been a driving force in revolutionizing diagnostic capabilities. With an impressive portfolio of 119 patents and a successful career at leading organizations, Zeller continues to inspire and lead the way in advancing medical imaging techniques. His relentless pursuit of innovation has not only enhanced the accuracy and efficiency of magnetic resonance scans but has also opened up new possibilities in the realm of healthcare diagnostics.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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