Solmaz Berkan

Title: Solmaz Berkan: Innovator in fMRI Image Processing

Introduction

Solmaz Berkan is a notable inventor based in Oviedo, FL (US). She has made significant contributions to the field of medical imaging, particularly in the processing of functional Magnetic Resonance Imaging (fMRI) data. Her innovative approach has the potential to enhance the accuracy and efficiency of image analysis in medical diagnostics.

Latest Patents

Solmaz Berkan holds a patent for a "Method and system for modeling and processing fMRI image data using a bag-of-words approach." This patent describes a computer-implemented method for processing image data, which includes gathering 4-D image data from a subject, extracting time series data, and spatial and degree data of each voxel of the subject. The method involves deriving features from both the time series and spatial data, combining these features to generate combined data, and inputting this data into a classifier that outputs a classification based on the combined data. This innovative method represents a significant advancement in the field of image processing.

Career Highlights

Throughout her career, Solmaz Berkan has worked with prominent organizations, including the International Business Machines Corporation (IBM) and the University of Central Florida Research Foundation, Inc. Her experience in these institutions has allowed her to develop and refine her skills in image processing and data analysis.

Collaborations

Solmaz has collaborated with esteemed colleagues such as Ravishankar Rao and Soumyabrata Dey. These collaborations have contributed to her research and the development of her patented technologies.

Conclusion

Solmaz Berkan is a pioneering inventor whose work in fMRI image processing is paving the way for advancements in medical imaging technology. Her contributions are invaluable to the field and hold promise for future innovations.