Mai A. Shaaban

According to our database, Mai A. Shaaban authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis.

Ufaq Khan, Lekkala Sai Teja, Ayuba Shakiru, Mai A. Shaaban, Yutong Xie, Muhammad Bilal, Muhammad Haris Khan

CoRR, March, 2026

Aurora: Adaptive Unified Representation for Robust Ultrasound Analysis.

Ufaq Khan, L. D. M. S. S. Teja, Ayuba Shakiru, Mai A. Shaaban, Yutong Xie, Muhammad Bilal, Muhammad Haris Khan

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment.

Adnan Khan, Alireza Choubineh, Mai A. Shaaban, Abbas Akkasi, Majid Komeili

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering.

Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text.

Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub

CoRR, 2024

Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.

Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing.

Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

MedPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis.

Mai A. Shaaban, Adnan Khan, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

HuLP: Human-in-the-Loop for Prognosis.

Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Optimizing Deep Learning Model Parameters with the Bees Algorithm for Improved Medical Text Classification.

Mai A. Shaaban, Mariam Kashkash, Maryam Alghfeli, Adham Ibrahim

CoRR, 2023

PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis.

Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

PSO-Based Optimization of Interval Type-2 Fuzzy Logic for Question Difficulty Prediction.

Mai A. Shaaban, Yasser F. Hassan, Magda M. Madbouly

Proceedings of the 33rd International Conference on Computer Theory and Applications, 2023

2022

Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text.

Mai A. Shaaban, Yasser F. Hassan, Shawkat K. Guirguis

Complex Intell. Syst., 2022