Vienna, Austria

Johannes Ruisz


 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 55(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Innovations by Johannes Ruisz in 3D Segmentation of Ultrasound Images

Introduction

Johannes Ruisz is an accomplished inventor based in Vienna, Austria. He has made significant contributions to the field of medical imaging, particularly in the area of ultrasound technology. His innovative approach to 3D segmentation has the potential to enhance the accuracy and efficiency of ultrasound image analysis.

Latest Patents

Ruisz holds a patent for "Methods and systems for 3D segmentation of ultrasound images." This patent describes a method for three-dimensional segmentation of an object by obtaining a volumetric data set that includes both object data and non-object data. The method defines reference and object slices within the volumetric data set, allowing for the determination of reference points at the edges of the object data. By generating an estimated contour based on these reference points, the method adjusts the contour points to align closely with the actual contour points of the object data. This innovative technique aims to improve the precision of ultrasound imaging.

Career Highlights

Johannes Ruisz is currently employed at General Electric Company, where he continues to develop and refine his innovative techniques in medical imaging. His work has garnered attention for its potential applications in various medical fields, enhancing diagnostic capabilities and patient care.

Collaborations

Ruisz collaborates with Armin Schoisswohl, a fellow innovator in the field. Their partnership has led to advancements in ultrasound technology, furthering the impact of their work on medical imaging.

Conclusion

Johannes Ruisz's contributions to the field of ultrasound imaging through his innovative patent demonstrate his commitment to advancing medical technology. His work not only enhances the accuracy of imaging but also has the potential to improve patient outcomes in healthcare.

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