162 citations
- Commonwealth Scientific and Industrial Research OrganisationAU11 papers
- UNSW SydneyAU4 papers
- Australian Institute of Health and WelfareAU3 papers
- Centre for Big Data Research in HealthAU3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- CSIRO Health and BiosecurityAU3 papers
- Data61AU2 papers
- McGill UniversityCA2 papers
- Monash UniversityAU2 papers
- Oregon Health & Science UniversityUS2 papers
- University of FlorenceIT2 papers
- Vrije Universiteit AmsterdamNL2 papers
15 papers
PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
Buddhi Wijenayake, Athulya Ratnayake, Lelumi Edirisinghe +8
Understanding how population age structure shapes COVID-19 burden is crucial for pandemic preparedness, yet common summary measures such as median age ignore key distributional fea…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
Background: Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) codin…
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19
Rohitash Chandra, Chaarvi Bansal, Mingyue Kang +5
Due to the high mutation rate of the virus, the COVID-19 pandemic evolved rapidly. Certain variants of the virus, such as Delta and Omicron, emerged with altered viral properties l…
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical l…
Improving Chest X-Ray Report Generation by Leveraging Warm Starting
Aaron Nicolson, Jason Dowling, Bevan Koopman
Automatically generating a report from a patient's Chest X-Rays (CXRs) is a promising solution to reducing clinical workload and improving patient care. However, current CXR report…