Farah E. Shamout

39 papers B 2Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification. CoRR Leopoldo Julian Lechuga López, Farah E. Shamout, Tim G. J. Rudner
2026	J	`jnl`	Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical Tasks. CoRR Chaimae Abouzahir, Congbo Ma, Nizar Habash, Farah E. Shamout
2026	J	`jnl`	Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data. CoRR L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout
2026	J	`jnl`	MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark. CoRR Mouath Abu Daoud, Leen Kharouf, Omar El Hajj, Dana El Samad, Mariam Al-Omari, Jihad Mallat, Khaled Saleh, Nizar Habash, Farah E. Shamout
2026	J	`jnl`	MedErrBench: A Fine-Grained Multilingual Benchmark for Medical Error Detection and Correction with Clinical Expert Annotations. CoRR Congbo Ma, Yichun Zhang, Yousef Al-Jazzazi, Ahamed Foisal, Laasya Sharma, Yousra Sadqi, Khaled Saleh, Jihad Mallat, Farah E. Shamout
2026	J	`jnl`	Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2025	B	`conf`	BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity. IJCNN Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos, Farah E. Shamout
2025	J	`jnl`	BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity. CoRR Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos, Farah E. Shamout
2025	B	`conf`	MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning. IJCNN Alejandro Guerra-Manzanares, Farah E. Shamout
2025	J	`jnl`	MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning. CoRR Alejandro Guerra-Manzanares, Farah E. Shamout
2025	J	`jnl`	MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks. CoRR Alejandro Guerra-Manzanares, Farah E. Shamout
2025	—	`conf`	MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks. MLHC Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, Walid Al-Eisawi, Nizar Habash, Farah E. Shamout
2025	J	`jnl`	MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks. CoRR Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, Walid Al-Eisawi, Nizar Habash, Farah E. Shamout
2025	—	`conf`	MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans. CHIL Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout
2025	—	`conf`	MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data. MLHC Baraa Al Jorf, Farah E. Shamout
2025	—	`conf`	Meta-Repository of Screening Mammography Classifiers. MedInfo Jakub Chledowski, Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
2025	J	`jnl`	Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data. CoRR Saeed Shurrab, Aadim Nepal, Terrence J. Lee-St. John, Nicola G. Ghazi, Bartlomiej Piechowski-Jozwiak, Farah E. Shamout
2025	—	`conf`	Uncertainty Quantification for Machine Learning in Healthcare: A Survey. CHIL Leopoldo Julian Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout
2025	J	`jnl`	Uncertainty Quantification for Machine Learning in Healthcare: A Survey. CoRR L. Julián Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout
2024	J	`jnl`	Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning. CoRR Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E. Shamout
2024	J	`jnl`	Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review. IEEE J. Biomed. Health Informatics Saeed Shurrab, Alejandro Guerra-Manzanares, Amani Magid, Bartlomiej Piechowski-Jozwiak, Seyed Farokh Atashzar, Farah E. Shamout
2024	J	`jnl`	The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces. CoRR Costanza Armanini, Tuka Alhanai, Farah E. Shamout, Seyed Farokh Atashzar
2023	J	`jnl`	Informative Priors Improve the Reliability of Multimodal Clinical Data Classification. CoRR L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout
2023	—	`conf`	Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. TML4H Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout
2023	J	`jnl`	Privacy-preserving machine learning for healthcare: open challenges and future perspectives. CoRR Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout
2022	J	`jnl`	Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton
2022	J	`jnl`	Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients. CoRR Sarmad Mehrdad, Farah E. Shamout, Yao Wang, Seyed Farokh Atashzar
2022	—	`conf`	MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. MLHC Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2022	J	`jnl`	MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. CoRR Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Meta-repository of screening mammography classifiers. CoRR Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
2021	—	`conf`	Multi-Label Generalized Zero Shot Learning for the Classiffcation of Disease in Chest Radiographs. MLHC Nasir Hayat, Hazem Lashen, Farah E. Shamout
2021	J	`jnl`	Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs. CoRR Nasir Hayat, Hazem Lashen, Farah E. Shamout
2021	J	`jnl`	The strategic pursuit of artificial intelligence in the United Arab Emirates. Commun. ACM Farah E. Shamout, Dana Abu Ali
2021	J	`jnl`	Towards dynamic multi-modal phenotyping using chest radiographs and physiological data. CoRR Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study. CoRR Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, Fatima Al Kindi, Sara Al Junaibi, Maha Al Safi, Raghib Ali, Walid Zaher, Mariam Al Harbi, Farah E. Shamout
2020	J	`jnl`	Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE J. Biomed. Health Informatics Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton
2019	J	`jnl`	Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. CoRR Pulkit Sharma, Farah E. Shamout, David A. Clifton