Najib Akram Maheen Aboobacker

Title: Najib Akram Maheen Aboobacker: Innovator in Deep Learning Image Processing

Introduction

Najib Akram Maheen Aboobacker is a notable inventor based in Thuckalay, India. He has made significant contributions to the field of medical imaging through his innovative patent. His work focuses on enhancing deep learning image processing techniques, which are crucial for medical applications.

Latest Patents

Najib holds a patent for "Deep learning image processing via region-wise parameter maps." This invention provides systems and techniques that facilitate improved deep learning image processing. The system can access a medical image and allocate its pixels or voxels among various regions. By executing a deep learning neural network on the medical image, the system generates a set of region-wise parameter maps. Each map consists of one predicted parameter per region of the medical image. The system can also create a transformed version of the medical image by utilizing an analytical transformation function and render it on an electronic display. The regions can be irregular or tissue-based, showcasing the versatility of his invention.

Career Highlights

Najib is currently associated with GE Precision Healthcare LLC, where he applies his expertise in deep learning and image processing. His work at the company emphasizes the importance of innovation in healthcare technology.

Collaborations

Najib has collaborated with talented individuals such as Hongxu Yang and Gopal Biligeri Avinash. Their combined efforts contribute to advancing the field of medical imaging and deep learning.

Conclusion

Najib Akram Maheen Aboobacker is a pioneering inventor whose work in deep learning image processing is making a significant impact in the medical field. His innovative patent demonstrates the potential of technology to enhance medical imaging and improve patient outcomes.