Daniel R. Catchpoole

According to our database, Daniel R. Catchpoole authored at least 42 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Lossless Compression with Trie-Based Shared Dictionary for Omics Data in Edge-Cloud Frameworks.

Rani Adam, Daniel R. Catchpoole, Simeon J. Simoff, Zhonglin Qu, Paul J. Kennedy, Quang Vinh Nguyen

J. Sens. Actuator Networks, 2025

Three-Dimensional Latent Diffusion Model for Weakly-Supervised Brain Tumour Segmentation.

Nico Lösch, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

The impact of virtual and augmented reality on presence, user experience and performance of Information Visualisation.

Ashlee Gronowski, David Arness, Jing Ng, Zhonglin Qu, Chng Wei Lau, Daniel R. Catchpoole, Quang Vinh Nguyen

Virtual Real., September, 2024

Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments - A Usability Study.

Jing Ng, David Arness, Ashlee Gronowski, Zhonglin Qu, Chng Wei Lau, Daniel R. Catchpoole, Quang Vinh Nguyen

J. Imaging, January, 2024

2023

Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study.

Zhonglin Qu, Quang Vinh Nguyen, Chng Wei Lau, Andrew Johnston, Paul J. Kennedy, Simeon Simoff, Daniel R. Catchpoole

BMC Medical Informatics Decis. Mak., December, 2023

Inferring actual treatment pathways from patient records.

Adrian Wilkins-Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy

J. Biomed. Informatics, December, 2023

Machine learning for administrative health records: A systematic review of techniques and applications.

Adrian Caruana, Madhushi Niluka Bandara, Katarzyna Musial, Daniel R. Catchpoole, Paul J. Kennedy

Artif. Intell. Medicine, October, 2023

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty.

Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole

CoRR, 2023

IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data.

Girija Rani Karetla, Daniel R. Catchpoole, Paul J. Kennedy, Simeon Simoff, Quang Vinh Nguyen

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.

Zhonglin Qu, Yezihalem Tegegne, Simeon J. Simoff, Paul J. Kennedy, Daniel R. Catchpoole, Quang Vinh Nguyen

Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences.

Adrian Caruana, Madhushi Niluka Bandara, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

Feature prioritisation on big genomic data for analysing gene-gene interactions.

Ahmad A. Al-Oqaily, Siamak Tafavogh, Bronwyn L. Harvey, Daniel R. Catchpoole, Paul J. Kennedy

Int. J. Bioinform. Res. Appl., 2021

MCKAT: a multi-dimensional copy number variant kernel association test.

Nastaran Maus Esfahani, Daniel R. Catchpoole, Javed Khan, Paul J. Kennedy

BMC Bioinform., 2021

2020

Intelligent and Immersive Visual Analytics of Health Data.

Zhonglin Qu, Chng Wei Lau, Daniel R. Catchpoole, Simeon Simoff, Quang Vinh Nguyen

Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

Classification of Neuroblastoma Histopathological Images Using Machine Learning.

Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment.

Andrew S. Brunker, Daniel R. Catchpoole, Paul J. Kennedy, Simeon Simoff, Quang Vinh Nguyen

Proceedings of the 23rd International Conference in Information Visualization, 2019

Using Visualization to Illustrate Machine Learning Models for Genomic Data.

Zhonglin Qu, Yi Zhou, Quang Vinh Nguyen, Daniel R. Catchpoole

Proceedings of the Australasian Computer Science Week Multiconference, 2019

Immersive Intelligence Genomic Data Visualisation.

Chng Wei Lau, Quang Vinh Nguyen, Zhonglin Qu, Simeon Simoff, Daniel R. Catchpoole

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Relational Autoencoder for Feature Extraction.

Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy

CoRR, 2018

Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data.

Aedan G. K. Roberts, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

DBNorm: normalizing high-density oligonucleotide microarray data based on distributions.

Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy

BMC Bioinform., 2017

Interaction Visualisation of Complex Genomic Data with Game Engines.

Nader Hasan Khalifa, Quang Vinh Nguyen, Simeon J. Simoff, Daniel R. Catchpoole

Proceedings of the 21st International Conference Information Visualisation, 2017

Relational autoencoder for feature extraction.

Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Label Feature Selection using Correlation Information.

Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification.

Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Paul J. Kennedy

Proceedings of the Data Mining, 2017

2016

Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions.

Quang Vinh Nguyen, Nader Hasan Khalifa, Pat Alzamora, Andrew Gleeson, Daniel R. Catchpoole, Paul J. Kennedy, Simeon J. Simoff

J. Imaging, 2016

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.

Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Comparing Functional Visualisations of Lists of Genes using Singular Value Decomposition.

Hamid Ghous, Paul J. Kennedy, Nicholas Ho, Daniel R. Catchpoole

J. Res. Pract. Inf. Technol., 2015

2014

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells.

Siamak Tafavogh, Daniel R. Catchpoole, Paul J. Kennedy

BMC Bioinform., 2014

2013

Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images.

Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole, Paul J. Kennedy

Medical Biol. Eng. Comput., 2013

A balanced iterative random forest for gene selection from microarray data.

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, Daniel R. Catchpoole

BMC Bioinform., 2013

Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions.

Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the Artificial Intelligence in Medicine, 2013

2012

A novel 3D interactive visualization for medical data analysis.

Patricio Alzamora, Quang Vinh Nguyen, Simeon J. Simoff, Daniel R. Catchpoole

Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI '12, Melbourne, VIC, Australia - November 26, 2012

Determining cellularity status of tumors based on histopathology using hybrid image segmentation.

Siamak Tafavogh, Paul J. Kennedy, Daniel R. Catchpoole

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Unlocking the complexity of genomic data of RMS patients through visual analytics.

Quang Vinh Nguyen, Patricio Alzamora, Nicholas Ho, Mao Lin Huang, Simeon J. Simoff, Daniel R. Catchpoole

Proceedings of the International Conference on Computerized Healthcare, 2012

Functional Visualisation of Genes using Singular Value.

Hamid Ghous, Paul J. Kennedy, Nicholas Ho, Daniel R. Catchpoole

Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

2011

Visual Analytics of Clinical and Genetic Datasets of Acute Lymphoblastic Leukaemia.

Quang Vinh Nguyen, Andrew Gleeson, Nicholas Ho, Mao Lin Huang, Simeon J. Simoff, Daniel R. Catchpoole

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Interactive Visualisation with User Perspective for Biological Data Analysis.

Quang Vinh Nguyen, Simeon J. Simoff, Daniel R. Catchpoole

Proceedings of the Health Informatics: The Transformative Power of Innovation, 2011

2008

Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia.

Paul J. Kennedy, Simeon J. Simoff, Daniel R. Catchpoole, David B. Skillicorn, Franco Ubaudi, Ahmad A. Al-Oqaily

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Kernel-based Visualisation of Genes with the Gene Ontology.

Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff

Proceedings of the Data Mining and Analytics 2008, 2008

Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia.

Ahmad A. Al-Oqaily, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff

Proceedings of the Data Mining and Analytics 2008, 2008

2004

Extracting and Explaining Biological Knowledge in Microarray Data.

Paul J. Kennedy, Simeon J. Simoff, David B. Skillicorn, Daniel R. Catchpoole

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004