Daniel R. Catchpoole

Orcid: 0000-0001-5836-1413

According to our database1, Daniel R. Catchpoole authored at least 39 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Exocentric and Egocentric Views for Biomedical Data Analytics in Virtual Environments - A Usability Study.
J. Imaging, January, 2024

2023
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study.
BMC Medical Informatics Decis. Mak., December, 2023

Inferring actual treatment pathways from patient records.
J. Biomed. Informatics, December, 2023

Machine learning for administrative health records: A systematic review of techniques and applications.
Artif. Intell. Medicine, October, 2023

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty.
CoRR, 2023

IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data.
Proceedings of the 2023 Australasian Computer Science Week, 2023

2022
Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Feature prioritisation on big genomic data for analysing gene-gene interactions.
Int. J. Bioinform. Res. Appl., 2021

MCKAT: a multi-dimensional copy number variant kernel association test.
BMC Bioinform., 2021

2020
Intelligent and Immersive Visual Analytics of Health Data.
Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

Classification of Neuroblastoma Histopathological Images Using Machine Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment.
Proceedings of the 23rd International Conference in Information Visualization, 2019

Using Visualization to Illustrate Machine Learning Models for Genomic Data.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

Immersive Intelligence Genomic Data Visualisation.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
Relational Autoencoder for Feature Extraction.
CoRR, 2018

Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions.
BMC Bioinform., 2017

Interaction Visualisation of Complex Genomic Data with Game Engines.
Proceedings of the 21st International Conference Information Visualisation, 2017

Relational autoencoder for feature extraction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Label Feature Selection using Correlation Information.
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.
Proceedings of the Data Mining, 2017

2016
Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions.
J. Imaging, 2016

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.
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.
J. Res. Pract. Inf. Technol., 2015

2014
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells.
BMC Bioinform., 2014

2013
Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images.
Medical Biol. Eng. Comput., 2013

A balanced iterative random forest for gene selection from microarray data.
BMC Bioinform., 2013

Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
A novel 3D interactive visualization for medical data analysis.
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.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Unlocking the complexity of genomic data of RMS patients through visual analytics.
Proceedings of the International Conference on Computerized Healthcare, 2012

Functional Visualisation of Genes using Singular Value.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

2011
Visual Analytics of Clinical and Genetic Datasets of Acute Lymphoblastic Leukaemia.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Interactive Visualisation with User Perspective for Biological Data Analysis.
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.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Kernel-based Visualisation of Genes with the Gene Ontology.
Proceedings of the Data Mining and Analytics 2008, 2008

Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia.
Proceedings of the Data Mining and Analytics 2008, 2008

2004
Extracting and Explaining Biological Knowledge in Microarray Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004


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