Zina M. Ibrahim

58 papers A 3C 3Misc 3Journal 32Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. IEEE J. Biomed. Health Informatics Linglong Qian, Hugh Logan Ellis, Tao Wang, Jun Wang, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2025	J	`jnl`	METHOD: Modular Efficient Transformer for Health Outcome Discovery. CoRR Linglong Qian, Zina M. Ibrahim
2025	J	`jnl`	The early warning paradox. npj Digit. Medicine Hugh Logan Ellis, Edward Palmer, James T. Teo, Martin Whyte, Kenneth Rockwood, Zina M. Ibrahim
2024	J	`jnl`	Fine-tuning - a Transfer Learning approach. CoRR Joseph Arul Raj, Linglong Qian, Zina M. Ibrahim
2024	J	`jnl`	How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
2024	J	`jnl`	Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson
2024	J	`jnl`	Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson
2023	—	`conf`	Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson
2023	J	`jnl`	Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. J. Biomed. Informatics Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2023	J	`jnl`	Exploring Multimodal Large Language Models for Radiology Report Error-checking. CoRR Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu
2023	J	`jnl`	Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson
2023	—	`ed.`	Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 20, 2023. KDH@IJCAI Zina M. Ibrahim, Honghan Wu, Nirmalie Wiratunga
2022	J	`jnl`	A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 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
2022	J	`jnl`	Evaluating physical urban features in several mental illnesses using electronic health record data. Frontiers Digit. Health Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, Angus Roberts, Philip K. McGuire, Zina M. Ibrahim, Rashmi Patel
2022	J	`jnl`	GEOexplorer: a webserver for gene expression analysis and visualisation. Nucleic Acids Res. 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
2022	—	`conf`	Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young
2022	J	`jnl`	Summarisation of Electronic Health Records with Clinical Concept Guidance. CoRR Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021	J	`jnl`	Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 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, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie
2021	J	`jnl`	Estimating Redundancy in Clinical Text. CoRR Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021	J	`jnl`	Estimating redundancy in clinical text. J. Biomed. Informatics Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021	J	`jnl`	Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. Artif. Intell. Medicine 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, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2020	J	`jnl`	A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
2020	A	`conf`	Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. INTERSPEECH Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
2020	J	`jnl`	Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. CoRR Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
2020	—	`conf`	Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. BioNLP Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
2020	J	`jnl`	Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. CoRR Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
2020	J	`jnl`	Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson
2020	A	`conf`	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
2020	J	`jnl`	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
2020	J	`jnl`	Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. CoRR 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, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2020	J	`jnl`	On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
2020	J	`jnl`	The side effect profile of Clozapine in real world data of three large mental hospitals. CoRR Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew T. W. Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard J. B. Dobson, Zina M. Ibrahim
2019	J	`jnl`	Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow
2019	—	`conf`	Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KDH@IJCAI 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, Rami Qahwaji, Ray Chaudhuri
2019	J	`jnl`	On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
2018	—	`ed.`	Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. KDH@IJCAI Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu
2018	J	`jnl`	SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. J. Am. Medical Informatics Assoc. 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, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson
2017	—	`conf`	Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson
2017	—	`conf`	Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. KDH@IJCAI Christopher Ormandy, Zina M. Ibrahim, Richard J. B. Dobson
2017	—	`ed.`	Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. KDH@IJCAI Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani
2016	—	`conf`	Category-Driven Association Rule Mining. SGAI Conf. Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson
2016	—	`conf`	Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson
2015	A	`conf`	A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. AAMAS Zina M. Ibrahim, Lorena Fernández de la Cruz, Argyris K. Stringaris, Robert Goodman, Michael Luck, Richard J. B. Dobson
2015	J	`jnl`	The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks. BMC Bioinform. Zina M. Ibrahim, Alioune Ngom
2014	Misc	`conf`	Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. FLAIRS Zina M. Ibrahim, Robbie Mallah, Richard J. B. Dobson
2013	C	`conf`	Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. CIBCB Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson
2011	J	`jnl`	Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik
2010	Misc	`conf`	A Surprise-Based Qualitative Probability Calculus II. FLAIRS Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2010	—	`conf`	A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. BIBM Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik
2009	Misc	`conf`	A Surprise-based Qualitative Calculus. FLAIRS Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2009	—	`conf`	Qualitative Motif Detection in Gene Regulatory Networks. BIBM Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2009	C	`conf`	Surprise-Based Qualitative Probabilistic Networks. ECSQARU Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2008	—	`conf`	Qualitative Hidden Markov Models for Classifying Gene Expression Data. SGAI Conf. Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2007	C	`conf`	A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. ECSQARU Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
2007	—	`conf`	An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus. SARA Zina M. Ibrahim, Ahmed Y. Tawfik
2005	—	`conf`	A Qualitative Spatio-temporal Abstraction of a Disaster Space. SARA Zina M. Ibrahim, Ahmed Y. Tawfik
2004	—	`conf`	Spatio-temporal Reasoning for Vague Regions. Canadian AI Zina M. Ibrahim, Ahmed Y. Tawfik