Honghan Wu

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All published works

Action	Title	Year	Authors
+ PDF Chat	SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation	2024	Jinge Wu Yunsoo Kim Diana D. Shi David Cliffton Fenglin Liu Honghan Wu
+ PDF Chat	Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction	2024	Jinge Wu Zhaolong Wu Abul Hasan Yun‐Soo Kim Jason Pui Yin Cheung Teng Zhang Honghan Wu
+ PDF Chat	Infusing clinical knowledge into tokenisers for language models	2024	Abul Hasan Jinge Wu Quang Ngoc Nguyen Salomé Andres Imane Guellil Huayu Zhang Arlene Casey Beatrice Alex Bruce Guthrie Honghan Wu
+ PDF Chat	Chain-of-Though (CoT) prompting strategies for medical error detection and correction	2024	Zhaolong Wu Abul Hasan Jinge Wu Yunsoo Kim Jason Pui Yin Cheung Teng Zhang Honghan Wu
+ PDF Chat	MedExQA: Medical Question Answering Benchmark with Multiple Explanations	2024	Yunsoo Kim Jinge Wu Yusuf Abdulle Honghan Wu
+ PDF Chat	RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization	2024	Jinge Wu Abul Hasan Honghan Wu
+ PDF Chat	A Unified Review of Deep Learning for Automated Medical Coding	2024	Shaoxiong Ji Xiaobo Li Wei Sun Hang Dong Ara Taalas Yijia Zhang Honghan Wu Esa Pitkänen Pekka Marttinen
+ PDF Chat	Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification	2024	Jinge Wu Hang Dong Zexi Li Arijit Patra Honghan Wu
+ PDF Chat	Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns	2024	Yunsoo Kim Jinge Wu Yusuf Abdulle Yue Gao Honghan Wu
+	Hallucination Benchmark in Medical Visual Question Answering	2024	Jinge Wu Yunsoo Kim Honghan Wu
+ PDF Chat	MedExQA: Medical Question Answering Benchmark with Multiple Explanations	2024	Yunsoo Kim Jinge Wu Yusuf Abdulle Honghan Wu
+ PDF Chat	Ontology-driven and weakly supervised rare disease identification from clinical notes	2023	Hang Dong Víctor Suárez-Paniagua Huayu Zhang Minhong Wang Arlene Casey Emma J. Davidson Jiaoyan Chen Beatrice Alex William Whiteley 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	2023	Emily Groves Minhong Wang Yusuf Abdulle H. Russell Kunz Jason Hoelscher-Obermaier R. Wu Honghan Wu
+	Exploring Multimodal Large Language Models for Radiology Report Error-checking	2023	Jinge Wu Yunsoo Kim Eva C. Keller Jamie Chow Adam P. Levine Nikolas Pontikos Zina Ibrahim Paul Taylor Michelle C. Williams Honghan Wu
+ PDF Chat	Quantifying Health Inequalities Induced by Data and AI Models	2022	Honghan Wu Aneeta Sylolypavan Minhong Wang Sarah H. Wild
+ PDF Chat	COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	2022	Johan H. Thygesen Christopher Tomlinson Sam Hollings Mehrdad A. Mizani Álex Handy Ashley Akbari Amitava Banerjee Jennifer Cooper Alvina G. Lai Kezhi Li
+	A Unified Review of Deep Learning for Automated Medical Coding	2022	Shaoxiong Ji Wei Sun Xiaobo Li Hang Dong Ara Taalas Yijia Zhang Honghan Wu Esa Pitkänen Pekka Marttinen
+ PDF Chat	Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations	2022	Qingyu Chen Alexis Allot Robert Leaman Rezarta Islamaj Jingcheng Du Fang Li Kai Wang Shuo Xu Yuefu Zhang Parsa Bagherzadeh
+	Automated Clinical Coding: What, Why, and Where We Are?	2022	Hang Dong Matúš Falis William Whiteley Beatrice Alex Shaoxiong Ji Jiaoyan Chen Honghan Wu
+	Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes	2022	Hang Dong Víctor Suárez-Paniagua Huayu Zhang Minhong Wang Arlene Casey Emma J. Davidson Jiaoyan Chen Beatrice Alex William Whiteley Honghan Wu
+	Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP	2022	Jinge Wu Rowena Smith Honghan Wu
+	Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets	2022	Jinge Wu Rowena Smith Honghan Wu
+	Quantifying Health Inequalities Induced by Data and AI Models	2022	Honghan Wu Minhong Wang Aneeta Sylolypavan Sarah H. Wild
+	Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations	2022	Qingyu Chen Alexis Allot Robert Leaman Rezarta Islamaj Jingcheng Du Fang Li Kai Wang Shuo Xu Yuefu Zhang Parsa Bagherzadeh
+	Ontology-driven Self-supervision for Adverse Childhood Experiences Identification using Social Media Datasets	2022	Jinge Wu Rowena Smith Honghan Wu
+ PDF Chat	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision	2021	Hang Dong Víctor Suárez-Paniagua Huayu Zhang Minhong Wang Emma Whitfield Honghan Wu
+ PDF Chat	A systematic review of natural language processing applied to radiology reports	2021	Arlene Casey Emma Davidson Michael T. C. Poon Hang Dong Daniel Duma Andreas Grivas Claire Grover Víctor Suárez-Paniagua Richard Tobin William Whiteley
+	Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes	2021	Emma Whitfield C. Coffey Huayu Zhang Ting Shi Xiaodong Wu Qiang Li Honghan Wu
+	Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation	2021	Hang Dong Víctor Suárez-Paniagua William Whiteley Honghan Wu
+	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision	2021	Hang Dong Víctor Suárez-Paniagua Huayu Zhang Minhong Wang Emma Whitfield Honghan Wu
+	A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data	2020	Zina Ibrahim Daniel Bean Thomas Searle Honghan Wu Anthony Shek Željko Kraljević James Galloway Sam Norton James Teo Richard Dobson
+	Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR	2020	Rebecca Bendayan Honghan Wu Željko Kraljević Robert Stewart Thomas Searle Jaya Chaturvedi Jayati Das‐Munshi Zina Ibrahim Aurelie Mascio Angus Roberts
+	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units	2020	Zina Ibrahim Honghan Wu Richard Dobson
+	Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation	2020	Hang Dong Víctor Suárez-Paniagua William Whiteley Honghan Wu
+	A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data	2020	Zina Ibrahim Daniel W. Bean Thomas Searle Honghan Wu Anthony Shek Željko Kraljević James Galloway Sam Norton James Teo Richard Dobson
+ PDF Chat	On classifying sepsis heterogeneity in the ICU: insight using machine learning	2019	Zina Ibrahim Honghan Wu Ahmed Hamoud Lukas Stappen Richard Dobson Andrea Agarossi
+	Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach	2019	Honghan Wu Karen Hodgson Sue Dyson Katherine I. Morley Zina Ibrahim Ehtesham Iqbal Robert Stewart Richard Dobson Cathie Sudlow
+	Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.	2019	Honghan Wu Karen Hodgson Sue Dyson Katherine I. Morley Zina Ibrahim Ehtesham Iqbal Robert Stewart Richard Dobson Cathie Sudlow
+	Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches	2019	Philip John Gorinski Honghan Wu Claire Grover Richard Tobin Conn Talbot Heather C. Whalley Cathie Sudlow William Whiteley Beatrice Alex
+	Predicting Adverse Events from Multiple and Dynamic Medication Episodes – a preliminary result in a large mental health registry	2016	Honghan Wu Zina Ibrahim Ehtesham Iqbal Richard Dobson

Common Coauthors

Coauthor	Papers Together
Hang Dong	12
Zina Ibrahim	9
Richard Dobson	8
William Whiteley	8
Víctor Suárez-Paniagua	7
Jinge Wu	7
Yunsoo Kim	6
Beatrice Alex	6
Minhong Wang	6
Huayu Zhang	5
Jinge Wu	5
Cathie Sudlow	4
Yusuf Abdulle	4
Rowena Smith	3
Ehtesham Iqbal	3
Jinge Wu	3
Jiaoyan Chen	3
Thomas Searle	3
Shaoxiong Ji	3
Emma Whitfield	3
Robert Stewart	3
Željko Kraljević	3
Arlene Casey	3
Abul Hasan	2
Aakash Bhatnagar	2
Loïc Rakotoson	2
Nidhir Bhavsar	2
Sheng-Jie Lin	2
Ilija Tavchioski	2
Sarah H. Wild	2
Jinghang Gu	2
Jason Pui Yin Cheung	2
Subhash Chandra Pujari	2
Anthony Shek	2
Yuefu Zhang	2
Aneeta Sylolypavan	2
Qingyu Chen	2
Kushagri Tandon	2
Mariia Chizhikova	2
Parsa Bagherzadeh	2
James Teo	2
Sue Dyson	2
Katherine I. Morley	2
Annemarie Friedrich	2
Michelle C. Williams	2
Robert Leaman	2
Yijia Zhang	2
Wentai Tang	2
Hongtong Zhang	2
James Galloway	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation	2021	Hang Dong Víctor Suárez-Paniagua William Whiteley Honghan Wu	6
+	Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset	2020	Thomas Searle Zina Ibrahim Richard Dobson	6
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	5
+	Explainable Prediction of Medical Codes from Clinical Text	2018	James Mullenbach Sarah Wiegreffe Jon Duke Jimeng Sun Jacob Eisenstein	3
+ PDF Chat	BioBERT: a pre-trained biomedical language representation model for biomedical text mining	2019	Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang	3
+ PDF Chat	Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit	2021	Željko Kraljević Thomas Searle Anthony Shek Łukasz Roguski Kawsar Noor Daniel Bean Aurelie Mascio Leilei Zhu Amos Folarin Angus Roberts	3
+	Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets	2019	Yifan Peng Shankai Yan Zhiyong Lu	3
+ PDF Chat	BioGPT: generative pre-trained transformer for biomedical text generation and mining	2022	Renqian Luo Liai Sun Yingce Xia Tao Qin Sheng Zhang Hoifung Poon Tie‐Yan Liu	2
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	2
+	An Automatic ICD Coding Network Using Partition-Based Label Attention	2022	Daeseong Kim Haanju Yoo Sewon Kim	2
+	Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents	2021	Vithya Yogarajan Bernhard Pfahringer Tony C. Smith Jacob Montiel	2
+ PDF Chat	HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding	2022	Shi Wang Xunzhu Tang Luchen Zhang Huilin Li Han Ding	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment	2017	Tal Baumel Jumana Nassour-Kassis Raphaël Cohen Michael Elhadad Noémie Elhadad	2
+ PDF Chat	Suicidal ideation and mental disorder detection with attentive relation networks	2021	Shaoxiong Ji Xue Li Zi Huang Erik Cambria	2
+	Longformer: The Long-Document Transformer	2020	Iz Beltagy Matthew E. Peters Arman Cohan	2
+	A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries	2021	Rajvir Kaur Jeewani Anupama Ginige Oliver Obst	2
+ PDF Chat	ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network	2020	Fei Li Hong Yu	2
+	A Survey of the Usages of Deep Learning for Natural Language Processing	2020	Daniel W. Otter Julian Richard Medina Jugal Kalita	2
+	BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining	2020	Zachariah Zhang Jingshu Liu Narges Razavian	2
+ PDF Chat	How many data points is a prompt worth?	2021	Teven Le Scao Alexander M. Rush	2
+	Few-Shot Electronic Health Record Coding through Graph Contrastive Learning	2021	Shanshan Wang Pengjie Ren Zhumin Chen Zhaochun Ren Huasheng Liang Yan Qiang Evangelos Kanoulas Maarten de Rijke	2
+	Description-based Label Attention Classifier for Explainable ICD-9 Classification	2021	Malte Feucht Zhiliang Wu Sophia Althammer Volker Tresp	2
+	Does the magic of BERT apply to medical code assignment? A quantitative study	2021	Shaoxiong Ji Matti Hölttä Pekka Marttinen	2
+	Hierarchical BERT for Medical Document Understanding	2022	Ning Zhang Maciej Jankowski	2
+	Hierarchical label-wise attention transformer model for explainable ICD coding	2022	Leibo Liu Oscar Perez‐Concha Anthony Nguyen Vicki Bennett Louisa Jorm	2
+ PDF Chat	Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU	2018	Qingqing Mao Melissa Jay Jana Hoffman Jacob Calvert Christopher Barton David Shimabukuro Lisa Shieh Uli K. Chettipally Grant Fletcher Yaniv Kerem	2
+	Deep contextualized word representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	2
+	Continual lifelong learning with neural networks: A review	2019	German I. Parisi Ronald Kemker Jose L. Part Christopher Kanan Stefan Wermter	2
+ PDF Chat	European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”	2017	Bryce Goodman Seth Flaxman	2
+	Clinical Concept Extraction for Document-Level Coding	2019	Sarah Wiegreffe Edward Choi Sherry Yan Jimeng Sun Jacob Eisenstein	2
+	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications	2021	Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu	2
+	Medical code prediction with multi-view convolution and description-regularized label-dependent attention	2018	Najmeh Sadoughi Greg P. Finley James Fone Vignesh Murali Maxim Korenevski Slava Baryshnikov Nico Axtmann Mark A. Miller David Suendermann‐Oeft	2
+	MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation	2019	Thomas Searle Željko Kraljević Rebecca Bendayan Daniel Bean Richard Dobson	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context	2019	Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc V. Le Ruslan Salakhutdinov	2
+	Publicly Available Clinical BERT Embeddings	2019	Emily Alsentzer John R. Murphy Willie Boag Wei‐Hung Weng Di Jin Tristan Naumann Matthew B. A. McDermott	2
+	ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission	2019	Kexin Huang Jaan Altosaar Rajesh Ranganath	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	Natural Language Processing Advancements By Deep Learning: A Survey	2020	Amirsina Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavaf Edward A. Fox	2
+ PDF Chat	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing	2021	裕二池谷 Robert Tinn Hao Cheng Michael Lucas Naoto Usuyama Xiaodong Liu Tristan Naumann Jianfeng Gao Hoifung Poon	2
+ PDF Chat	Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network	2018	Zhongliang Yang Yongfeng Huang Yiran Jiang Yuxi Sun Yu‐Jin Zhang Pengcheng Luo	2
+ PDF Chat	A Survey on Multi-Task Learning	2021	Yu Zhang Qiang Yang	2
+ PDF Chat	Multitask Balanced and Recalibrated Network for Medical Code Prediction	2022	Wei Sun Shaoxiong Ji Erik Cambria Pekka Marttinen	2
+	Towards BERT-based Automatic ICD Coding: Limitations and Opportunities	2021	Damián Pascual Sandro Luck Roger Wattenhofer	2
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	2
+	Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment	2017	Tal Baumel Jumana Nassour-Kassis Raphael Cohen Michael Elhadad Noémie Elhadad	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	Towards Automated ICD Coding Using Deep Learning.	2017	Haoran Shi Pengtao Xie Zhiting Hu Ming Zhang Eric P. Xing	2
+ PDF Chat	Graph Neural Networks for Natural Language Processing: A Survey	2023	Lingfei Wu Yu Chen Kai Shen Xiaojie Guo Hanning Gao Shucheng Li Jian Pei Bo Long	2