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John McCabe
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2020 – today
- 2024
- [j4]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob:
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116: 102399 (2024) - [c1]John McCabe, Daryl Cheng, Amyn Bhamani, Monica Mullin, Tanya Patrick, Arjun Nair, Sam M. Janes, Carole H. Sudre, Joseph Jacob:
Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms. FAIMI/EPIMI@MICCAI 2024: 78-87 - 2022
- [i1]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Arjun Nair, Daniel C. Alexander, SUMMIT consortium, Joseph Jacob:
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR abs/2203.16606 (2022)
2010 – 2019
- 2011
- [j3]John McCabe, Kathryn Weld:
On automorphisms of Cayley graphs, and irregular groups. Australas. J Comb. 51: 157-174 (2011) - [j2]Sarah Vallance, Alex H. B. Duffy, Robert Ian Whitfield, Kepa Mendibil, Abigail Hird, John McCabe, Neville Turner:
Using Systems Engineering for the Development of Decision Making Support Systems (DMSS): An Analysis of System Development Methodologies (SDM). Int. J. Decis. Support Syst. Technol. 3(4): 35-54 (2011)
2000 – 2009
- 2009
- [j1]John McCabe, Kathryn Weld:
On an inverse Cayley problem. Australas. J Comb. 45: 263-276 (2009)
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last updated on 2024-12-10 20:49 CET by the dblp team
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