Michael J. Horry
Orcid: 0000-0001-6691-9739
According to our database1,
Michael J. Horry
authored at least 13 papers
between 2020 and 2023.
Collaborative distances:
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Bibliography
2023
Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models.
Sensors, July, 2023
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks.
CoRR, 2023
Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks.
IEEE Access, 2023
2022
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips.
CoRR, 2022
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection.
CoRR, 2022
Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection.
Comput. Biol. Medicine, 2022
2021
Sensors, 2021
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images.
CoRR, 2020
MAVIDH Score: A Corona Severity Scoring using Interpretable Chest X-Ray Pathology Features.
CoRR, 2020
IEEE Access, 2020