Rakesh Mullick

Title: Rakesh Mullick: Innovating Medical Imaging through Deep Learning

Introduction

Rakesh Mullick, based in Bengaluru, India, is a notable inventor in the field of medical imaging and diagnostic technology. With an impressive portfolio of 32 patents, he has made significant contributions to enhancing computer-aided diagnosis through innovative methods and systems.

Latest Patents

Rakesh has been at the forefront of pioneering technology with his latest patents, which include:

1. **Methods and systems for computer-aided diagnosis with deep learning models**: This groundbreaking invention outlines various methods and systems that facilitate computer-aided diagnosis. The process involves using an imaging system to acquire a medical image, generating a diagnosis with a deep neural network trained by a radiologist, and displaying the findings to assist the radiologist effectively. Notably, it includes mechanisms to update the radiologist model based on new medical images, creating a digital twin of the radiologist's expertise.

2. **Generating reformatted views of a three-dimensional anatomy scan using deep-learning estimated scan prescription masks**: This patent describes techniques for generating reformatted views from three-dimensional anatomy scans. It employs a pre-trained neural network to create masks for various anatomical landmarks and reformats 3D image data to yield multiple representations aligned with these landmarks.

Career Highlights

Throughout his career, Rakesh has worked with prominent companies, including General Electric Company and GE Precision Healthcare LLC. His roles in these organizations provided him with a robust platform to develop and implement cutting-edge technologies in medical imaging.

Collaborations

Rakesh has collaborated with talented professionals in the field, notably Krishna Seetharam Shriram and Dattesh Dayanand Shanbhag. These partnerships have enabled him to further enhance the impact of his innovations, applying collaborative expertise to advance medical diagnostic technologies.

Conclusion

Rakesh Mullick continues to push the boundaries of medical imaging through his inventive spirit and dedication. His advancements in computer-aided diagnosis and deep learning are noteworthy contributions that promise to transform healthcare diagnostics in the years to come.