Gerry P. McCann
Orcid: 0000-0002-5542-8448
According to our database1,
Gerry P. McCann authored at least 9 papers
between 2020 and 2026.
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Bibliography
2026
Segmetron: Sample-efficient model-agnostic semantic segmentation with a trustworthy reject option via PQ learning.
Pattern Recognit., 2026
Fast and scalable annotation-free LV-centered ROI localisation in stress perfusion cardiac MRI.
Comput. Biol. Medicine, 2026
2025
Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
2024
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume.
CoRR, 2024
2023
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images.
Entropy, March, 2023
Fast-tracking the Deep Residual Network Training for Arrhythmia Classification by Leveraging the Power of Dynamical Systems.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023
Embracing uncertainty flexibility: harnessing a supervised tree kernel to empower ensemble modelling for 2D echocardiography-based prediction of right ventricular volume.
Proceedings of the Sixteenth International Conference on Machine Vision, 2023
Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2020
Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020