Honghan Wu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 67

Top Topics

Systematic Review

Weakly Supervised

Retinal Fundus Images

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Jinge Wu, Yunsoo Kim, Honghan Wu
Hallucination Benchmark in Medical Visual Question Answering. CoRR (2024)
Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
Chain-of-Though (CoT) prompting strategies for medical error detection and correction. CoRR (2024)
Abul Hasan, Jinge Wu, Quang Ngoc Nguyen, Salomé Andres, Imane Guellil, Huayu Zhang, Arlene Casey, Beatrice Alex, Bruce Guthrie, Honghan Wu
Infusing clinical knowledge into tokenisers for language models. CoRR (2024)
Jinge Wu, Abul Hasan, Honghan Wu
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization. CoRR (2024)
Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu
Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. J. Am. Medical Informatics Assoc. 31 (2) (2024)
Jinge Wu, Yunsoo Kim, Honghan Wu
Hallucination Benchmark in Medical Visual Question Answering. Tiny Papers @ ICLR (2024)
Farah Francis, Saturnino Luz, Honghan Wu, Sarah J. Stock, Rosemary Townsend
Machine learning on cardiotocography data to classify fetal outcomes: A scoping review. Comput. Biol. Medicine 172 (2024)
Jinge Wu, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu
Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. CoRR (2024)
Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu
MedExQA: Medical Question Answering Benchmark with Multiple Explanations. CoRR (2024)
Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs. TAI4H (2024)
Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset. ACL (Findings) (2024)
Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns. CoRR (2024)
Jinge Wu, Zhaolong Wu, Abul Hasan, Yunsoo Kim, Jason P. Y. Cheung, Teng Zhang, Honghan Wu
Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction. CoRR (2024)
Tudor Groza, Honghan Wu, Marcel E. Dinger, Daniel Danis, Coleman Hilton, Anita Bagley, Jon R. Davids, Ling Luo, Zhiyong Lu, Peter N. Robinson
Term-BLAST-like alignment tool for concept recognition in noisy clinical texts. Bioinform. 39 (12) (2023)
Mohanad M. Alsaleh, Freya Allery, Jung Won Choi, Tuankasfee Hama, Andrew McQuillin, Honghan Wu, Johan H. Thygesen
Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review. Int. J. Medical Informatics 175 (2023)
Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu
Exploring Multimodal Large Language Models for Radiology Report Error-checking. CoRR (2023)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest. CoRR (2023)
Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health 5 (2023)
Farah Francis, Saturnino Luz, Honghan Wu, Rosemary Townsend, Sarah S. Stock
Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection. EMBC (2023)
Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu
KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization. BioNLP@ACL (2023)
Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu, Malcolm Sim
The impact of inconsistent human annotations on AI driven clinical decision making. npj Digit. Medicine 6 (2023)
Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex
FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health 5 (2023)
Yinghua Fu, Ge Zhang, Xin Lu, Honghan Wu, Dawei Zhang
RMCA U-net: Hard exudates segmentation for retinal fundus images. Expert Syst. Appl. 234 (2023)
Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR (2022)
Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael T. C. Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022)
Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Automated clinical coding: what, why, and where we are? npj Digit. Medicine 5 (2022)
Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex
Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination. SMM4H@COLING (2022)
Jinge Wu, Rowena Smith, Honghan Wu
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. CoRR (2022)
Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Automated Clinical Coding: What, Why, and Where We Are? CoRR (2022)
Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen
A Unified Review of Deep Learning for Automated Medical Coding. CoRR (2022)
Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild
Quantifying Health Inequalities Induced by Data and AI Models. CoRR (2022)
Farah Francis, Honghan Wu, Saturnino Luz, Rosemary Townsend, Sarah Stock
Detecting Intrapartum Fetal Hypoxia from Cardiotocography Using Machine Learning. CinC (2022)
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
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng, Honghan Wu, Cao Yang, Kun Wang, Yang Li, Teng Zhang
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation. Comput. Medical Imaging Graph. 99 (2022)
Jinge Wu, Rowena Smith, Honghan Wu
Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. CoRR (2022)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR (2022)
Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database J. Biol. Databases Curation 2022 (2022) (2022)
Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild
Quantifying Health Inequalities Induced by Data and AI Models. IJCAI (2022)
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
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Emma Whitfield, Claire Coffey, Huayu Zhang, Ting Shi, Xiaodong Wu, Qiang Li, Honghan Wu
Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. AMIA (2021)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC (2021)
Emma M. Davidson, Michael T. C. Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21 (1) (2021)
Arlene Casey, Emma M. Davidson, Michael T. C. Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Arlene Casey, Emma M. Davidson, Michael T. C. Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR (2021)
Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics 116 (2021)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR (2021)
Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu
Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings Bioinform. 22 (5) (2021)
Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR (2020)
Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR (2020)
Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson
Knowledge Driven Phenotyping. MIE (2020)
Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. EMBC (2020)
Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR (2020)
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
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR (2020)
Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. 27 (3) (2020)
Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI (2020)
Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR (2019)
Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR (2019)
Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR (2019)
Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson
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. 25 (5) (2018)
Richard G. Jackson, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart, Richard J. B. Dobson
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson
Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH (2017)
Hui Wang, Quan Sun, Anika Oellrich, Honghan Wu, Richard J. B. Dobson
The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors. KHD@IJCAI (2017)
Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J. P. Hubbard, Richard J. B. Dobson
Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. Database J. Biol. Databases Curation 2017 (2017)
Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson
Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. (2016)
Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson
Category-Driven Association Rule Mining. SGAI Conf. (2016)
Yuting Zhao, Guido Vetere, Jeff Z. Pan, Alessandro Faraotti, Marco Monti, Honghan Wu
Meta-Level Properties for Reasoning on Dynamic Data. JIST (2015)
Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez
How Redundant Is It? - An Empirical Analysis on Linked Datasets. COLD (2014)
Jeff Z. Pan, José Manuél Gómez-Pérez, Yuan Ren, Honghan Wu, Haofen Wang, Man Zhu
Graph Pattern Based RDF Data Compression. JIST (2014)
Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez
Exploiting Semantic Web Datasets: A Graph Pattern Based Approach. CSWS (2014)
Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu, Ningyu Zhang
Big smog meets web science: smog disaster analysis based on social media and device data on the web. WWW (Companion Volume) (2014)
Jeff Z. Pan, Yuan Ren, Honghan Wu, Man Zhu
Query generation for semantic datasets. K-CAP (2013)
Honghan Wu, Ago Luberg, Tanel Tammet
. WIMS (2012)
Ago Luberg, Michael Granitzer, Honghan Wu, Priit Järv, Tanel Tammet
Information retrieval and deduplication for tourism recommender sightsplanner. WIMS (2012)
Gong Cheng, Weiyi Ge, Honghan Wu, Yuzhong Qu
Searching Semantic Web Objects Based on Class Hierarchies. LDOW (2008)
Wei Hu, Yuanyuan Zhao, Dan Li, Gong Cheng, Honghan Wu, Yuzhong Qu
Falcon-AO: Results for OAEI 2007. OM (2007)
Han Xu, Honghan Wu, Yuzhong Qu
CANOE: A Course Assembly and Normalization Tool for E-learning. Dublin Core Conference (2004)