Spatio-temporal Reasoning for Vague Regions. - Zina M. Ibrahim; Ahmed Y. Tawfik (Canadian AI, 2004)

A Qualitative Spatio-temporal Abstraction of a Disaster Space. - Zina M. Ibrahim; Ahmed Y. Tawfik (SARA, 2005)

A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (ECSQARU, 2007)

An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus. - Zina M. Ibrahim; Ahmed Y. Tawfik (SARA, 2007)

Qualitative Hidden Markov Models for Classifying Gene Expression Data. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (SGAI Conf., 2008)

Qualitative Motif Detection in Gene Regulatory Networks. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (BIBM, 2009)

Surprise-Based Qualitative Probabilistic Networks. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (ECSQARU, 2009)

A Surprise-based Qualitative Calculus. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (FLAIRS, 2009)

A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. - Zina M. Ibrahim; Alioune Ngom; Ahmed Y. Tawfik (BIBM, 2010)

A Surprise-Based Qualitative Probability Calculus II. - Zina M. Ibrahim; Ahmed Y. Tawfik; Alioune Ngom (FLAIRS, 2010)

Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks. - Zina M. Ibrahim; Alioune Ngom; Ahmed Y. Tawfik (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. - Zina M. Ibrahim; Stephen Newhouse; Richard J. B. Dobson (CIBCB, 2013)

Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. - Zina M. Ibrahim; Robbie Mallah; Richard J. B. Dobson (FLAIRS, 2014)

A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. - Zina M. Ibrahim; Lorena Fernández de la Cruz; Argyris K. Stringaris; Robert Goodman; Michael Luck; Richard J. B. Dobson (AAMAS, 2015)

The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks. - Zina M. Ibrahim; Alioune Ngom (BMC Bioinform., 2015)

Category-Driven Association Rule Mining. - Zina M. Ibrahim; Honghan Wu; Robbie Mallah; Richard J. B. Dobson (SGAI Conf., 2016)

Encoding Medication Episodes for Adverse Drug Event Prediction. - Honghan Wu; Zina M. Ibrahim; Ehtesham Iqbal 001; Richard J. B. Dobson (SGAI Conf., 2016)

Improving RNN with Attention and Embedding for Adverse Drug Reactions. - Chandra Pandey; Zina M. Ibrahim; Honghan Wu; Ehtesham Iqbal 001; Richard J. B. Dobson (DH, 2017)

Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. - Christopher Ormandy; Zina M. Ibrahim; Richard J. B. Dobson (KDH@IJCAI, 2017)

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. - Honghan Wu; Giulia Toti; Katherine I. Morley; Zina M. Ibrahim; Amos Folarin; Richard G. Jackson; Ismail Emre Kartoglu; Asha Agrawal; Clive Stringer; Darren Gale; Genevieve Gorrell; Angus Roberts; et al. (J. Am. Medical Informatics Assoc., 2018)

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. - Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon; Eyad Elyan; Zina M. Ibrahim; Oya Celikutan; Richard J. B. Dobson; Stephen J. McKenna; Jacqui Morris; Annalu Waller; Raed A. Abd-Alhammed; et al. (KDH@IJCAI, 2019)

Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. - Honghan Wu; Karen Hodgson; Sue Dyson; Katherine I. Morley; Zina M. Ibrahim; Ehtesham Iqbal 001; Robert Stewart 002; Richard J. B. Dobson; Cathie Sudlow (CoRR, 2019)

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. - Thomas Searle; Zina M. Ibrahim; Richard J. B. Dobson (BioNLP, 2020)

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. - Zina M. Ibrahim; Honghan Wu; Richard J. B. Dobson (ECAI, 2020)

Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. - Thomas Searle; Zina M. Ibrahim; Richard J. B. Dobson (INTERSPEECH, 2020)

The side effect profile of Clozapine in real world data of three large mental hospitals. - Ehtesham Iqbal 001; Risha Govind; Alvin Romero; Olubanke Dzahini; Matthew T. W. Broadbent; Robert Stewart 002; Tanya Smith; Chi-Hun Kim; Nomi Werbeloff; Richard J. B. Dobson; Zina M. Ibrahim (CoRR, 2020)

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. - Rebecca Bendayan; Honghan Wu; Zeljko Kraljevic; Robert Stewart 002; Tom Searle; Jaya Chaturvedi; Jayati Das-Munshi; Zina M. Ibrahim; Aurelie Mascio; Angus Roberts; Daniel Bean; Richard J. B. Dobson (CoRR, 2020)

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (CoRR, 2020)

On classifying sepsis heterogeneity in the ICU: insight using machine learning. - Zina M. Ibrahim; Honghan Wu; Ahmed Hamoud; Lukas Stappen; Richard J. B. Dobson; Andrea Agarossi (J. Am. Medical Informatics Assoc., 2020)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. - Honghan Wu; Huayu Zhang; Andreas Karwath; Zina M. Ibrahim; Ting Shi; Xin Zhang; Kun Wang; Jiaxing Sun; Kevin Dhaliwal; Daniel Bean; Victor Roth Cardoso; Kezhi Li; et al. (J. Am. Medical Informatics Assoc., 2021)

Estimating redundancy in clinical text. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2021)

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. - Yu Deng; Yang Wen; Linglong Qian; Esther Puyol-Antón; Hao Xu; Kuberan Pushparajah; Zina M. Ibrahim; Richard J. B. Dobson; Alistair A. Young (STACOM@MICCAI, 2022)

Summarisation of Electronic Health Records with Clinical Concept Guidance. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

Evaluating physical urban features in several mental illnesses using electronic health record data. - Zahra Mahabadi; Maryam Mahabadi; Sumithra Velupillai; Angus Roberts; Philip K. McGuire; Zina M. Ibrahim; Rashmi Patel (Frontiers Digit. Health, 2022)

GEOexplorer: a webserver for gene expression analysis and visualisation. - Guy P. Hunt; Luigi Grassi; Rafael Henkin; Fabrizio Smeraldi; Thomas P. Spargo; Renata Kabiljo; Sulev Koks; Zina M. Ibrahim; Richard J. B. Dobson; Ammar Al-Chalabi; Michael R. Barnes; Alfredo Iacoangeli (Nucleic Acids Res., 2022)

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Linglong Qian; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (IEEE J. Biomed. Health Informatics, 2022)

Addressing Class Imbalance in Electronic Health Records Data Imputation. - Linglong Qian; Zina M. Ibrahim; Ao Zhang; Richard J. B. Dobson (KDH@IJCAI, 2023)

Exploring Multimodal Large Language Models for Radiology Report Error-checking. - Jinge Wu; Yunsoo Kim; Eva C. Keller; Jamie Chow; Adam P. Levine; Nikolas Pontikos; Zina M. Ibrahim; Paul Taylor; Michelle C. Williams; Honghan Wu (CoRR, 2023)

Knowledge Enhanced Conditional Imputation for Healthcare Time-series. - Linglong Qian; Zina M. Ibrahim; Hugh Logan Ellis; Ao Zhang; Yuezhou Zhang; Tao Wang 036; Richard J. B. Dobson (CoRR, 2023)

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2023)

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Richard J. B. Dobson (CoRR, 2024)

Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. - Linglong Qian; Zina M. Ibrahim; Wenjie Du; Yiyuan Yang; Richard J. B. Dobson (CoRR, 2024)

TSI-Bench: Benchmarking Time Series Imputation. - Wenjie Du; Jun Wang 121; Linglong Qian; Yiyuan Yang; Fanxing Liu; Zepu Wang; Zina M. Ibrahim; Haoxin Liu 001; Zhiyuan Zhao 002; Yingjie Zhou; Wenjia Wang; Kaize Ding; et al. (CoRR, 2024)

Fine-tuning - a Transfer Learning approach. - Joseph Arul Raj; Linglong Qian; Zina M. Ibrahim (CoRR, 2024)

The early warning paradox. - Hugh Logan Ellis; Edward Palmer; James T. Teo; Martin Whyte; Kenneth Rockwood; Zina M. Ibrahim (npj Digit. Medicine, 2025)

METHOD: Modular Efficient Transformer for Health Outcome Discovery. - Linglong Qian; Zina M. Ibrahim (CoRR, 2025)

How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. - Linglong Qian; Hugh Logan Ellis; Tao Wang 036; Jun Wang 121; Robin Mitra; Richard J. B. Dobson; Zina M. Ibrahim (IEEE J. Biomed. Health Informatics, 2025)