Neha Koonjoo

Title: Neha Koonjoo: Innovator in Imaging Applications

Introduction

Neha Koonjoo is a prominent inventor based in Boston, MA, known for her contributions to the field of imaging applications. She has developed innovative solutions that enhance the accuracy of medical imaging through complex data optimization.

Latest Patents

Neha holds a patent for a "System and method for complex input data configurations for imaging applications." This patent outlines systems, methods, and media that improve the accuracy of models, such as neural networks, used to reconstruct medical images from raw sensor data. The optimization process involves applying raw sensor data to an input layer of a neural network, generating an input vector that organizes real and imaginary components of samples in an adjacent manner. This input vector is then utilized in the convolutional layer of the neural network, significantly enhancing the reconstruction process.

Career Highlights

Throughout her career, Neha has worked with notable institutions, including The General Hospital Corporation and Boston University. Her work has been instrumental in advancing the field of medical imaging, making significant contributions to the understanding and application of complex data in this area.

Collaborations

Neha has collaborated with talented individuals such as Danyal Fareed Bhutto and Matthew Scot Rosen, further enriching her work and expanding the impact of her innovations.

Conclusion

Neha Koonjoo's innovative work in imaging applications exemplifies the importance of complex data optimization in medical technology. Her contributions continue to influence the field and pave the way for future advancements.