Evaluating medical information retrieval. - Bevan Koopman; Peter Bruza; Laurianne Sitbon; Michael Lawley (SIGIR, 2011)

AEHRC & QUT at TREC 2011 Medical Track: A Concept-Based Information Retrieval Approach. - Bevan Koopman; Michael Lawley; Peter Bruza; Laurianne Sitbon (TREC, 2011)

Semantic Judgement of Medical Concepts: Combining Syntagmatic and Paradigmatic Information with the Tensor Encoding Model. - Michael Symonds; Guido Zuccon; Bevan Koopman; Peter Bruza; Anthony N. Nguyen (ALTA, 2012)

Graph-based concept weighting for medical information retrieval. - Bevan Koopman; Guido Zuccon; Peter Bruza; Laurianne Sitbon; Michael Lawley (ADCS, 2012)

Exploiting medical hierarchies for concept-based information retrieval. - Guido Zuccon; Bevan Koopman; Anthony N. Nguyen; Deanne Vickers; Luke Butt (ADCS, 2012)

An evaluation of corpus-driven measures of medical concept similarity for information retrieval. - Bevan Koopman; Guido Zuccon; Peter Bruza; Laurianne Sitbon; Michael Lawley (CIKM, 2012)

Exploiting SNOMED CT Concepts & Relationships for Clinical Information Retrieval: Australian e-Health Research Centre and Queensland University of Technology at the TREC 2012 Medical Track. - Bevan Koopman; Guido Zuccon; Anthony N. Nguyen; Deanne Vickers; Luke Butt; Peter Bruza (TREC, 2012)

QUT_Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents. - Mike Symonds; Guido Zuccon; Bevan Koopman; Peter Bruza (TREC, 2012)

ADCS reaches adulthood: an analysis of the conference and its community over the last eighteen years. - Bevan Koopman; Guido Zuccon; Lance De Vine; Aneesha Bakharia; Peter Bruza; Laurianne Sitbon; Andrew Gibson (ADCS, 2013)

Term associations in query expansion: a structural linguistic perspective. - Michael Symonds; Guido Zuccon; Bevan Koopman; Peter Bruza; Laurianne Sitbon (CIKM, 2013)

Identify Disorders in Health Records using Conditional Random Fields and Metamap AEHRC at ShARe/CLEF 2013 eHealth Evaluation Lab Task 1. - Guido Zuccon; Alexander Holloway; Bevan Koopman; Anthony N. Nguyen (CLEF (Working Notes), 2013)

Retrieval of Health Advice on the Web AEHRC at ShARe/CLEF eHealth Evaluation Lab Task 3. - Guido Zuccon; Bevan Koopman; Anthony N. Nguyen (CLEF (Working Notes), 2013)

Combining Word Semantics within Complex Hilbert Space for Information Retrieval. - Peter Wittek; Bevan Koopman; Guido Zuccon; Sándor Darányi (QI, 2013)

Document Timespan Normalisation and Understanding Temporality for Clinical Records Search. - Bevan Koopman; Guido Zuccon (ADCS, 2014)

Medical Free-Text to Concept Mapping as an Information Retrieval Problem. - Shahin Mirhosseini; Guido Zuccon; Bevan Koopman; Anthony N. Nguyen; Michael Lawley (ADCS, 2014)

Medical Semantic Similarity with a Neural Language Model. - Lance De Vine; Guido Zuccon; Bevan Koopman; Laurianne Sitbon; Peter Bruza (CIKM, 2014)

Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR. - Guido Zuccon; Bevan Koopman; Peter Bruza (ESAIR, 2014)

Understanding negation and family history to improve clinical information retrieval. - Bevan Koopman; Guido Zuccon (SIGIR, 2014)

Relevation!: an open source system for information retrieval relevance assessment\

Why Assessing Relevance in Medical IR is Demanding. - Bevan Koopman; Guido Zuccon (MedIR@SIGIR, 2014)

Integrating Understandability in the Evaluation of Consumer Health Search Engines. - Guido Zuccon; Bevan Koopman (MedIR@SIGIR, 2014)

Automatic query expansion: A structural linguistic perspective. - Michael Symonds; Peter Bruza; Guido Zuccon; Bevan Koopman; Laurianne Sitbon; Ian W. Turner (J. Assoc. Inf. Sci. Technol., 2014)

Semantic Search as Inference: Applications in Health Informatics. - Bevan Koopman (SIGIR Forum, 2014)

Integrating and Evaluating Neural Word Embeddings in Information Retrieval. - Guido Zuccon; Bevan Koopman; Peter Bruza; Leif Azzopardi (ADCS, 2015)

Automated Reconciliation of Radiology Reports and Discharge Summaries. - Bevan Koopman; Guido Zuccon; Amol Wagholikar; Kevin Chu; John O'Dwyer; Anthony N. Nguyen; Gerben Keijzers (AMIA, 2015)

Diagnose This If You Can - On the Effectiveness of Search Engines in Finding Medical Self-diagnosis Information. - Guido Zuccon; Bevan Koopman; João R. M. Palotti (ECIR, 2015)

Automatic ICD-10 classification of cancers from free-text death certificates. - Bevan Koopman; Guido Zuccon; Anthony N. Nguyen; Anton Bergheim; Narelle Grayson (Int. J. Medical Informatics, 2015)

Automatic classification of diseases from free-text death certificates for real-time surveillance. - Bevan Koopman; Sarvnaz Karimi; Anthony N. Nguyen; Rhydwyn McGuire; David Muscatello; Madonna Kemp; Donna Truran; Ming Zhang; Sarah Thackway (BMC Medical Informatics Decis. Mak., 2015)

Evaluation of Medical Concept Annotation Systems on Clinical Records. - Hamed Hassanzadeh; Anthony N. Nguyen; Bevan Koopman (ALTA, 2016)

Boosting Titles does not Generally Improve Retrieval Effectiveness. - Jimmy; Guido Zuccon; Bevan Koopman (ADCS, 2016)

The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias. - Aldo Lipani; Guido Zuccon; Mihai Lupu; Bevan Koopman; Allan Hanbury (ICTIR, 2016)

A Test Collection for Matching Patients to Clinical Trials. - Bevan Koopman; Guido Zuccon (SIGIR, 2016)

Information retrieval as semantic inference: a Graph Inference model applied to medical search. - Bevan Koopman; Guido Zuccon; Peter Bruza; Laurianne Sitbon; Michael Lawley (Inf. Retr. J., 2016)

Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews. - Harrisen Scells; Guido Zuccon; Bevan Koopman; Anthony Deacon; Leif Azzopardi; Shlomo Geva (CIKM, 2017)

QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search. - Jimmy; Guido Zuccon; Bevan Koopman (CLEF (Working Notes), 2017)

QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank. - Harrisen Scells; Guido Zuccon; Anthony Deacon; Bevan Koopman (CLEF (Working Notes), 2017)

Generating Clinical Queries from Patient Narratives: A Comparison between Machines and Humans. - Bevan Koopman; Liam Cripwell; Guido Zuccon (SIGIR, 2017)

A Task-oriented Search Engine for Evidence-based Medicine. - Bevan Koopman; Guido Zuccon; Jack Russell (SIGIR, 2017)

A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews. - Harrisen Scells; Guido Zuccon; Bevan Koopman; Anthony Deacon; Leif Azzopardi; Shlomo Geva (SIGIR, 2017)

SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians. - Guido Zuccon; Bevan Koopman (SIGIR, 2017)

What makes an effective clinical query and querier? - Bevan Koopman; Guido Zuccon; Peter Bruza (J. Assoc. Inf. Sci. Technol., 2017)

Extracting Cancer Mortality Statistics from Free-text Death Certificates: A View from the Trenches. - Bevan Koopman; Anthony N. Nguyen; Danica Cossio; Mary-Jane Courage; Gary Francois (ADCS, 2018)

Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. - Anthony N. Nguyen; Donna L. Truran; Madonna Kemp; Bevan Koopman; David Conlan; John O'Dwyer; Ming Zhang; Sarvnaz Karimi; Hamed Hassanzadeh; Michael Lawley; Damian J. Green (AMIA, 2018)

QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search. - Jimmy; Guido Zuccon; Bevan Koopman (CLEF (Working Notes), 2018)

Choices in Knowledge-Base Retrieval for Consumer Health Search. - Jimmy; Guido Zuccon; Bevan Koopman (ECIR, 2018)

Query Variation Performance Prediction for Systematic Reviews. - Harrisen Scells; Leif Azzopardi; Guido Zuccon; Bevan Koopman (SIGIR, 2018)

SIGIR 2018 Tutorial on Health Search (HS2018): A Full-day from Consumers to Clinicians. - Guido Zuccon; Bevan Koopman (SIGIR, 2018)

Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers. - Bevan Koopman; Guido Zuccon; Anthony N. Nguyen; Anton Bergheim; Narelle Grayson (Artif. Intell. Medicine, 2018)

A task completion framework to support single-interaction IR research. - Anton van der Vegt; Guido Zuccon; Bevan Koopman; Peter Bruza (J. Documentation, 2018)

Task-oriented search for evidence-based medicine. - Bevan Koopman; Jack Russell; Guido Zuccon (Int. J. Digit. Libr., 2018)

Health Cards to Assist Decision Making in Consumer Health Search. - Jimmy; Guido Zuccon; Bevan Koopman; Gianluca Demartini (AMIA, 2019)

Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature. - Anton H. van der Vegt; Guido Zuccon; Bevan Koopman (AMIA, 2019)

Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods. - Jimmy; Guido Zuccon; Bevan Koopman; Gianluca Demartini (CIKM, 2019)

Health Cards for Consumer Health Search. - Jimmy; Guido Zuccon; Bevan Koopman; Gianluca Demartini (SIGIR, 2019)

WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians. - Bevan Koopman; Guido Zuccon (WSDM, 2019)

Automatic Boolean Query Refinement for Systematic Review Literature Search. - Harrisen Scells; Guido Zuccon; Bevan Koopman (WWW, 2019)

Payoffs and pitfalls in using knowledge-bases for consumer health search. - Jimmy; Guido Zuccon; Bevan Koopman (Inf. Retr. J., 2019)

You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. - Harrisen Scells; Guido Zuccon; Bevan Koopman (ECIR (1), 2020)

A Computational Approach for Objectively Derived Systematic Review Search Strategies. - Harrisen Scells; Guido Zuccon; Bevan Koopman; Justin Clark (ECIR (1), 2020)

IELAB for TREC Conversational Assistance Track (CAsT) 2020. - Sebastian Cross; Hang Li 009; Arvin Zhuang; Ahmed Mourad; Guido Zuccon; Bevan Koopman (TREC, 2020)

Automatic Boolean Query Formulation for Systematic Review Literature Search. - Harrisen Scells; Guido Zuccon; Bevan Koopman; Justin Clark (WWW, 2020)

Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. - Harrisen Scells; Guido Zuccon; Mohamed A. Sharaf; Bevan Koopman (WWW, 2020)

Cohort-based Clinical Trial Retrieval. - Bevan Koopman; Guido Zuccon (ADCS, 2021)

Semantic Search for Large Scale Clinical Ontologies. - Duy-Hoa Ngo; Madonna Kemp; Donna L. Truran; Bevan Koopman; Alejandro Metke-Jimenez (AMIA, 2021)

AEHRC CSIRO at ImageCLEFmed Caption 2021. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF (Working Notes), 2021)

Precision Medicine Search for Paediatric Oncology. - Bevan Koopman; Tracey Wright; Natacha Omer; Veronica McCabe; Guido Zuccon (SIGIR, 2021)

Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. - Sebastian Cross; Ahmed Mourad; Guido Zuccon; Bevan Koopman (WWW, 2021)

A comparison of automatic Boolean query formulation for systematic reviews. - Harrisen Scells; Guido Zuccon; Bevan Koopman (Inf. Retr. J., 2021)

Do better search engines really equate to better clinical decisions? If not, why not? - Anton van der Vegt; Guido Zuccon; Bevan Koopman (J. Assoc. Inf. Sci. Technol., 2021)

Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search. - Shuai Wang 032; Harrisen Scells; Bevan Koopman; Guido Zuccon (ADCS, 2022)

CSIRO at ImageCLEFmedical Caption 2022. - Léo Lebrat; Aaron Nicolson; Rodrigo Santa Cruz; Gregg Belous; Bevan Koopman; Jason Dowling (CLEF (Working Notes), 2022)

ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF, 2022)

CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach. - Bowen Xin; Hang Min; Ashley G. Gillman; Bevan Koopman; Jason Dowling; Aaron Nicolson (CLEF (Working Notes), 2022)

The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. - Harrisen Scells; Connor Forbes; Justin Clark; Bevan Koopman; Guido Zuccon (ICTIR, 2022)

Self-learning ontological concept representation for searching and matching tasks. - Duy-Hoa Ngo; Bevan Koopman (OM@ISWC, 2022)

How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. - Hang Li 009; Ahmed Mourad; Bevan Koopman; Guido Zuccon (SIGIR, 2022)

From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. - Shuai Wang 032; Harrisen Scells; Justin Clark; Bevan Koopman; Guido Zuccon (SIGIR, 2022)

Automated MeSH term suggestion for effective query formulation in systematic reviews literature search. - Shuai Wang 032; Harrisen Scells; Bevan Koopman; Guido Zuccon (Intell. Syst. Appl., 2022)

Catching Misdiagnosed Limb Fractures in the Emergency Department Using Cross-institution Transfer Learning. - Filip Rusak; Bevan Koopman; Nathan J. Brown; Kevin Chu; Jinghui Liu; Anthony N. Nguyen (ALTA, 2023)

e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. - Aaron Nicolson; Jason Dowling; Bevan Koopman (BioNLP@ACL, 2023)

A Concise Model for Medical Image Captioning. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF (Working Notes), 2023)

Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness. - Bevan Koopman; Guido Zuccon (EMNLP, 2023)

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. - Shengyao Zhuang; Bing Liu 025; Bevan Koopman; Guido Zuccon (EMNLP (Findings), 2023)

Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. - Shuai Wang 032; Harrisen Scells; Bevan Koopman; Martin Potthast; Guido Zuccon (SIGIR-AP, 2023)

ChatGPT Hallucinates when Attributing Answers. - Guido Zuccon; Bevan Koopman; Razia Shaik (SIGIR-AP, 2023)

Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? - Shuai Wang 032; Harrisen Scells; Bevan Koopman; Guido Zuccon (SIGIR, 2023)

Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models. - Shengyao Zhuang; Bevan Koopman; Guido Zuccon (TREC, 2023)

AgAsk: A Conversational Search Agent for Answering Agricultural Questions. - Hang Li 009; Bevan Koopman; Ahmed Mourad; Guido Zuccon (WSDM, 2023)

Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness. - Guido Zuccon; Bevan Koopman (CoRR, 2023)

Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CoRR, 2023)

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. - Hang Li 009; Ahmed Mourad; Shengyao Zhuang; Bevan Koopman; Guido Zuccon (ACM Trans. Inf. Syst., 2023)

Improving chest X-ray report generation by leveraging warm starting. - Aaron Nicolson; Jason Dowling; Bevan Koopman (Artif. Intell. Medicine, 2023)

e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models. - Jinghui Liu; Aaron Nicolson; Jason Dowling; Bevan Koopman; Anthony N. Nguyen (BioNLP@ACL, 2024)

e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation. - Aaron Nicolson; Jinghui Liu; Jason Dowling; Anthony N. Nguyen; Bevan Koopman (BioNLP@ACL, 2024)

A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. - Xinyu Mao; Bevan Koopman; Guido Zuccon (ECIR (4), 2024)

Zero-Shot Generative Large Language Models for Systematic Review Screening Automation. - Shuai Wang 032; Harrisen Scells; Shengyao Zhuang; Martin Potthast; Bevan Koopman; Guido Zuccon (ECIR (1), 2024)

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. - Shengyao Zhuang; Xueguang Ma; Bevan Koopman; Jimmy Lin; Guido Zuccon (EMNLP, 2024)

Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-points. - Ismail Sabei; Mahmoud Galal; Bevan Koopman; Guido Zuccon (SIGIR-AP, 2024)

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems. - Shengyao Zhuang; Bevan Koopman; Xiaoran Chu; Guido Zuccon (SIGIR-AP, 2024)

Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. - Xinyu Mao; Shengyao Zhuang; Bevan Koopman; Guido Zuccon (SIGIR, 2024)

A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. - Shengyao Zhuang; Honglei Zhuang; Bevan Koopman; Guido Zuccon (SIGIR, 2024)

TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval. - Chuting Yu; Hang Li 009; Ahmed Mourad; Bevan Koopman; Guido Zuccon (CoRR, 2024)

A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking. - Ferdinand Schlatt; Maik Fröbe; Harrisen Scells; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Benno Stein 001; Martin Potthast; Matthias Hagen (CoRR, 2024)

Does Vec2Text Pose a New Corpus Poisoning Threat? - Shengyao Zhuang; Bevan Koopman; Guido Zuccon (CoRR, 2024)

Starbucks: Improved Training for 2D Matryoshka Embeddings. - Shengyao Zhuang; Shuai Wang 032; Bevan Koopman; Guido Zuccon (CoRR, 2024)

AgAsk: an agent to help answer farmer's questions from scientific documents. - Bevan Koopman; Ahmed Mourad; Hang Li 009; Anton van der Vegt; Shengyao Zhuang; Simon Gibson; Yash Dang; David Lawrence; Guido Zuccon (Int. J. Digit. Libr., 2024)

VISA: Retrieval Augmented Generation with Visual Source Attribution. - Xueguang Ma; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Wenhu Chen; Jimmy Lin (ACL (1), 2025)

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. - Aaron Nicolson; Shengyao Zhuang; Jason Dowling; Bevan Koopman (ACL (1), 2025)

Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders. - Ferdinand Schlatt; Maik Fröbe; Harrisen Scells; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Benno Stein 001; Martin Potthast; Matthias Hagen (ECIR (2), 2025)

Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking. - Ferdinand Schlatt; Maik Fröbe; Harrisen Scells; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Benno Stein 001; Martin Potthast; Matthias Hagen (ECIR (3), 2025)

Reassessing Large Language Model Boolean Query Generation for Systematic Reviews. - Shuai Wang 032; Harrisen Scells; Bevan Koopman; Guido Zuccon (SIGIR, 2025)

2D Matryoshka Training for Information Retrieval. - Shuai Wang 032; Shengyao Zhuang; Bevan Koopman; Guido Zuccon (SIGIR, 2025)

RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. - Jonathan J. Ross; Ekaterina Khramtsova; Anton van der Vegt; Bevan Koopman; Guido Zuccon (SIGIR, 2025)

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. - Shengyao Zhuang; Ekaterina Khramtsova; Xueguang Ma; Bevan Koopman; Jimmy Lin; Guido Zuccon (SIGIR, 2025)

ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. - Shuai Wang 032; Shengyao Zhuang; Bevan Koopman; Guido Zuccon (WWW (Companion Volume), 2025)

Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports. - Jinghui Liu; Bevan Koopman; Nathan J. Brown; Kevin Chu; Anthony N. Nguyen (Artif. Intell. Medicine, 2025)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. - Shengyao Zhuang; Xueguang Ma; Bevan Koopman; Jimmy Lin; Guido Zuccon (CoRR, 2025)

Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval. - Hang Li 009; Xiao Wang; Bevan Koopman; Guido Zuccon (CoRR, 2025)

LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback. - Hang Li 009; Shengyao Zhuang; Bevan Koopman; Guido Zuccon (CoRR, 2025)

Humans are more gullible than LLMs in believing common psychological myths. - Bevan Koopman; Guido Zuccon (CoRR, 2025)