10 citations · 12 across the 5 of their papers we have counts for
5 papers
TactileEval: A Step Towards Automated Fine-Grained Evaluation and Editing of Tactile Graphics
Adnan Khan, Abbas Akkasi, Majid Komeili
Tactile graphics require careful expert validation before reaching blind and visually impaired (BVI) learners, yet existing datasets provide only coarse holistic quality ratings th…
TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment
Adnan Khan, Alireza Choubineh, Mai A. Shaaban +2
Tactile graphics are essential for providing access to visual information for the 43 million people globally living with vision loss. Traditional methods for creating these graphic…
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
Chest X-ray images are commonly used for predicting acute and chronic cardiopulmonary conditions, but efforts to integrate them with structured clinical data face challenges due to…
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text
Mai A. Shaaban, Abbas Akkasi, Adnan Khan +2
The accurate recognition of symptoms in clinical reports is significantly important in the fields of healthcare and biomedical natural language processing. These entities serve as…
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan
Beyond attaining domain generalization (DG), visual recognition models should also be data-efficient during learning by leveraging limited labels. We study the problem of Semi-Supe…