Chris Bain

According to our database, Chris Bain authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.

Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song

Comput. Methods Programs Biomed., November, 2023

Security-Aware Provenance for Transparency in IoT Data Propagation.

Fariha Tasmin Jaigirdar, Boyu Tan, Carsten Rudolph, Chris Bain

IEEE Access, 2023

2022

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

Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B. Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz A. Kurgan, Jiangning Song

Nucleic Acids Res., 2022

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

Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song

CoRR, 2022

NOTE: Unavoidable Service to Unnoticeable Risks: A Study on How Healthcare Record Management Opens the Doors of Unnoticeable Vulnerabilities for Rohingya Refugees.

Fariha Tasmin Jaigirdar, Carsten Rudolph, Rayhan Rashed, Md. Nahiyan Uddin, Chris Bain, A. B. M. Alim Al Islam

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.

Fariha Tasmin Jaigirdar, Carsten Rudolph, Chris Bain

Proceedings of the IEEE International Conference on Digital Health, 2021

2020

Digital healthcare across Oceania.

Chris Bain, Abraham Oshni Alvandi

Commun. ACM, 2020

Prov-IoT: A Security-Aware IoT Provenance Model.

Fariha Tasmin Jaigirdar, Carsten Rudolph, Chris Bain

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.

Fariha Tasmin Jaigirdar, Carsten Rudolph, Gillian C. Oliver, David Watts, Chris Bain

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.

Fariha Tasmin Jaigirdar, Carsten Rudolph, Chris Bain

Proceedings of the Australasian Computer Science Week Multiconference, 2019