Matthew B Schabath

Title: Matthew Schabath: Innovator in Medical Imaging Defense

Introduction

Matthew Schabath is an accomplished inventor based in Tampa, Florida. He has made significant contributions to the field of medical imaging, particularly in developing strategies to mitigate adversarial attacks on understanding systems. His innovative approach combines advanced neural network techniques to enhance the reliability of medical imaging systems.

Latest Patents

Matthew Schabath holds a patent titled "Mitigating adversarial attacks on medical imaging understanding systems." This patent describes a multi-initialization ensemble-based defense strategy against adversarial attacks. The method involves training multiple conventional neural networks (CNNs) with a dataset that includes both original and adversarially modified images. After training, the system processes input images that have been altered by adversarial attacks, generating probability outputs from each CNN. These outputs are then combined to produce an ensemble probability output, which is used to categorize the input image accurately.

Career Highlights

Throughout his career, Matthew has worked with notable institutions, including the University of South Florida and the H. Lee Moffitt Cancer Center and Research Institute. His work has focused on enhancing the security and effectiveness of medical imaging technologies, making significant strides in the field.

Collaborations

Matthew has collaborated with esteemed colleagues, including Rahul Paul and Dmitry B Goldgof. Their combined expertise has contributed to advancing research in medical imaging and adversarial defense strategies.

Conclusion

Matthew Schabath is a pioneering inventor whose work in mitigating adversarial attacks on medical imaging systems showcases his commitment to improving healthcare technology. His innovative methods and collaborations continue to influence the field positively.