Chris Bain

Orcid: 0000-0002-5281-2364

According to our database1, Chris Bain authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.
Comput. Methods Programs Biomed., November, 2023

Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.
Bioinform., March, 2023

Security-Aware Provenance for Transparency in IoT Data Propagation.
IEEE Access, 2023

Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022
<i>iFeatureOmega: </i> an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.
Nucleic Acids Res., 2022

Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification.
CoRR, 2022

NOTE: Unavoidable Service to Unnoticeable Risks: A Study on How Healthcare Record Management Opens the Doors of Unnoticeable Vulnerabilities for Rohingya Refugees.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021
Risk and Compliance in IoT- Health Data Propagation: A Security-Aware Provenance based Approach.
Proceedings of the IEEE International Conference on Digital Health, 2021

2020
Digital healthcare across Oceania.
Commun. ACM, 2020

Prov-IoT: A Security-Aware IoT Provenance Model.
Proceedings of the 19th IEEE International Conference on Trust, 2020

What Information is Required for Explainable AI? : A Provenance-based Research Agenda and Future Challenges.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

2019
Can I Trust the Data I See?: A Physician's Concern on Medical Data in IoT Health Architectures.
Proceedings of the Australasian Computer Science Week Multiconference, 2019


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