Company Filing History:
Years Active: 2022-2025
Title: Innovations in Medical Image Analysis by Fatemeh Haghighi
Introduction
Fatemeh Haghighi is a prominent inventor based in Tempe, Arizona, known for her significant contributions to the field of medical image analysis. With a total of five patents to her name, she has developed innovative systems and methods that enhance the capabilities of artificial intelligence in medical diagnostics.
Latest Patents
One of her latest patents is titled "Systems, methods, and apparatuses for implementing self-supervised domain-adaptive pre-training via a transformer for use with medical image classification." This invention describes a system that utilizes a first set of non-medical photographic images and a second set of medical images to pre-train an AI model. The model undergoes domain-adaptive pre-training through self-supervised learning, ultimately generating a trained domain-adapted AI model capable of predicting medical diagnoses from unseen input images.
Another notable patent is "Systems, methods, and apparatuses for implementing discriminative, restorative, and adversarial (DiRA) learning for self-supervised medical image analysis." This framework allows for the diagnosis and detection of new medical images that were not part of the training data. The DiRA framework employs discriminative, restorative, and adversarial learning techniques to generate predictions of diseases within medical images.
Career Highlights
Fatemeh Haghighi is affiliated with Arizona State University, where she continues to advance her research in medical image analysis. Her work has garnered attention for its innovative approach to integrating AI with medical diagnostics, making significant strides in the field.
Collaborations
She collaborates with esteemed colleagues, including Mohammad Reza Hosseinzadeh Taher and Jianming Liang, contributing to a dynamic research environment that fosters innovation and discovery.
Conclusion
Fatemeh Haghighi's contributions to medical image analysis through her patents and research at Arizona State University highlight her role as a leading inventor in the field. Her innovative approaches are paving the way for advancements in medical diagnostics and AI applications.