Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text. - Mai A. Shaaban; Yasser F. Hassan; Shawkat K. Guirguis (CoRR, 2021)

PSO-Based Optimization of Interval Type-2 Fuzzy Logic for Question Difficulty Prediction. - Mai A. Shaaban; Yasser F. Hassan; Magda M. Madbouly (ICCTA, 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 (MLMI@MICCAI (1), 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)

HuLP: Human-in-the-Loop for Prognosis. - Muhammad Ridzuan; Mai A. Shaaban; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (MICCAI (5), 2024)

MedPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis. - Mai A. Shaaban; Adnan Khan; Mohammad Yaqub (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 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 (SemEval@NAACL, 2024)

Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization. - Adnan Khan; Mai A. Shaaban; Muhammad Haris Khan (VISIGRAPP (2): VISAPP, 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)

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 (CoRR, 2025)

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering. - Mai A. Shaaban; Tausifa Jan Saleem; Vijay Ram Papineni; Mohammad Yaqub (CoRR, 2025)