Mai A. Shaaban

18 papers B 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis.
CoRR
Ufaq Khan, Lekkala Sai Teja, Ayuba Shakiru, Mai A. Shaaban, Yutong Xie, Muhammad Bilal, Muhammad Haris Khan
2025 — conf
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering.
MICCAI (6)
Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub
2025 J jnl
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering.
CoRR
Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub
2025 B conf
TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment.
SMC
Adnan Khan, Alireza Choubineh, Mai A. Shaaban, Abbas Akkasi, Majid Komeili
2025 J jnl
TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment.
CoRR
Adnan Khan, Alireza Choubineh, Mai A. Shaaban, Abbas Akkasi, Majid Komeili
2024 J jnl
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text.
CoRR
Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub
2024 — conf
HuLP: Human-in-the-Loop for Prognosis.
MICCAI (5)
Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
2024 — conf
Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.
VISIGRAPP (2): VISAPP
Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan
2024 J jnl
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.
CoRR
Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan
2024 — conf
MedPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
2024 J jnl
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis.
CoRR
Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
2024 — conf
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing.
SemEval@NAACL
Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub
2023 J jnl
Optimizing Deep Learning Model Parameters with the Bees Algorithm for Improved Medical Text Classification.
CoRR
Mai A. Shaaban, Mariam Kashkash, Maryam Alghfeli, Adham Ibrahim
2023 — conf
PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis.
MLMI@MICCAI (1)
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023 J jnl
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis.
CoRR
Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023 — conf
PSO-Based Optimization of Interval Type-2 Fuzzy Logic for Question Difficulty Prediction.
ICCTA
Mai A. Shaaban, Yasser F. Hassan, Magda M. Madbouly
2022 J jnl
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text.
Complex Intell. Syst.
Mai A. Shaaban, Yasser F. Hassan, Shawkat K. Guirguis
2021 J jnl
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text.
CoRR
Mai A. Shaaban, Yasser F. Hassan, Shawkat K. Guirguis