Maryam Sultana

Title: Maryam Sultana: Innovator in Machine Learning for Medical Diagnosis

Introduction

Maryam Sultana is a prominent inventor based in Abu Dhabi, AE. She has made significant contributions to the field of machine learning, particularly in the area of medical diagnosis. Her innovative work focuses on enhancing the capabilities of vision transformer neural networks for domain generalization.

Latest Patents

Maryam holds a patent titled "System and method for self-distilled vision transformer for domain generalization." This invention describes an apparatus and method for a machine learning engine that trains a vision transformer neural network using a training dataset that includes at least two domains for diagnosing medical conditions. The process involves processing image patches and class tokens through a sequence of feature extraction transformer blocks to obtain a predicted class token. Additionally, intermediate class tokens are extracted as outputs of each feature extraction transformer block, where each transformer block acts as a sub-model. A sub-model is randomly sampled from these sub-models to obtain a sampled intermediate class token, which is then used to make a sub-model prediction. The vision transformer neural network is optimized based on the difference between the predicted class token and the sub-model prediction. This innovative approach allows for inferencing on a target medical image in a domain that differs from the initial training domains. Maryam has 1 patent to her name.

Career Highlights

Maryam Sultana is affiliated with the Mohamed Bin Zayed University of Artificial Intelligence, where she continues to advance her research in artificial intelligence and machine learning. Her work is recognized for its potential impact on improving medical diagnostics through advanced technology.

Collaborations

Maryam collaborates with notable colleagues, including Muhammad Muzammal Naseer and Muhammad Haris Khan. Their combined expertise contributes to the development of innovative solutions in the field of artificial intelligence.

Conclusion

Maryam Sultana is a trailblazer in the intersection of machine learning and medical diagnosis. Her innovative patent and ongoing research efforts highlight her commitment to advancing technology for better healthcare outcomes.