Extracting and Explaining Biological Knowledge in Microarray Data. - Paul J. Kennedy; Simeon J. Simoff; David B. Skillicorn; Daniel R. Catchpoole (PAKDD, 2004)

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 (AusDM, 2008)

Kernel-based Visualisation of Genes with the Gene Ontology. - Hamid Ghous; Paul J. Kennedy; Daniel R. Catchpoole; Simeon J. Simoff (AusDM, 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 (Visual Data Mining, 2008)

Interactive Visualisation with User Perspective for Biological Data Analysis. - Quang Vinh Nguyen; Simeon J. Simoff; Daniel R. Catchpoole (HIC, 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 (ICONIP (1), 2011)

Functional Visualisation of Genes using Singular Value. - Hamid Ghous; Paul J. Kennedy; Nicholas Ho; Daniel R. Catchpoole (AusDM, 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 (ICCH, 2012)

Determining cellularity status of tumors based on histopathology using hybrid image segmentation. - Siamak Tafavogh; Paul J. Kennedy; Daniel R. Catchpoole (IJCNN, 2012)

A novel 3D interactive visualization for medical data analysis. - Patricio Alzamora; Quang Vinh Nguyen; Simeon J. Simoff; Daniel R. Catchpoole (OZCHI, 2012)

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 (AIME, 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)

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)

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells. - Siamak Tafavogh; Daniel R. Catchpoole; Paul J. Kennedy (BMC Bioinform., 2014)

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)

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. - Ali Braytee; Daniel R. Catchpoole; Paul J. Kennedy; Wei Liu 007 (CIKM, 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)

Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification. - Soheila Gheisari; Daniel R. Catchpoole; Amanda Charlton; Paul J. Kennedy (AusDM, 2017)

Multi-Label Feature Selection using Correlation Information. - Ali Braytee; Wei Liu 007; Daniel R. Catchpoole; Paul J. Kennedy (CIKM, 2017)

Relational autoencoder for feature extraction. - Qinxue Meng; Daniel R. Catchpoole; David Skillicom; Paul J. Kennedy (IJCNN, 2017)

Interaction Visualisation of Complex Genomic Data with Game Engines. - Nader Hasan Khalifa; Quang Vinh Nguyen; Simeon J. Simoff; Daniel R. Catchpoole (IV, 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)

Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data. - Aedan G. K. Roberts; Daniel R. Catchpoole; Paul J. Kennedy (IJCNN, 2018)

Relational Autoencoder for Feature Extraction. - Qinxue Meng; Daniel R. Catchpoole; David B. Skillicorn; Paul J. Kennedy (CoRR, 2018)

Immersive Intelligence Genomic Data Visualisation. - Chng Wei Lau; Quang Vinh Nguyen; Zhonglin Qu; Simeon Simoff; Daniel R. Catchpoole (ACSW, 2019)

Using Visualization to Illustrate Machine Learning Models for Genomic Data. - Zhonglin Qu; Yi Zhou; Quang Vinh Nguyen; Daniel R. Catchpoole (ACSW, 2019)

Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment. - Andrew S. Brunker; Daniel R. Catchpoole; Paul J. Kennedy; Simeon Simoff; Quang Vinh Nguyen (IV (2), 2019)

Classification of Neuroblastoma Histopathological Images Using Machine Learning. - Adhish Panta; Matloob Khushi; Usman Naseem; Paul J. Kennedy; Daniel R. Catchpoole (ICONIP (3), 2020)

Intelligent and Immersive Visual Analytics of Health Data. - Zhonglin Qu; Chng Wei Lau; Daniel R. Catchpoole; Simeon Simoff; Quang Vinh Nguyen (Advanced Computational Intelligence in Healthcare (7), 2020)

MCKAT: a multi-dimensional copy number variant kernel association test. - Nastaran Maus Esfahani; Daniel R. Catchpoole; Javed Khan; Paul J. Kennedy (BMC Bioinform., 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)

Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences. - Adrian Caruana; Madhushi Niluka Bandara; Daniel R. Catchpoole; Paul J. Kennedy (AI, 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 (AusDM, 2022)

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 (ACSW, 2023)

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. - Yu Dong; Jie Liang 004; Longbing Cao; Daniel R. Catchpoole (CoRR, 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, 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, 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., 2023)

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, 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., 2024)

Three-Dimensional Latent Diffusion Model for Weakly-Supervised Brain Tumour Segmentation. - Nico Lösch; Daniel R. Catchpoole; Paul J. Kennedy (AIME (1), 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)