Eyjólfur Guðmundsson
Affiliations: | Radiology | University of Chicago, Chicago, IL |
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| Shenouda M, Gudmundsson E, Li F, et al. (2023) Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). Arxiv |
| Armato SG, Nowak AK, Francis RJ, et al. (2021) Imaging in pleural mesothelioma: A review of the 15th International Conference of the International Mesothelioma Interest Group. Lung Cancer (Amsterdam, Netherlands). 164: 76-83 |
| Gudmundsson E, Straus CM, Li F, et al. (2020) Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion. Journal of Medical Imaging (Bellingham, Wash.). 7: 012705 |
| Armato SG, Francis RJ, Katz SI, et al. (2019) Imaging in pleural mesothelioma: A review of the 14th International Conference of the International Mesothelioma Interest Group. Lung Cancer (Amsterdam, Netherlands). 130: 108-114 |
| Gudmundsson E, Straus CM, Armato SG. (2018) Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans. Journal of Medical Imaging (Bellingham, Wash.). 5: 034503 |
| Gudmundsson E, Labby Z, Straus CM, et al. (2018) Dynamic contrast-enhanced CT for the assessment of tumour response in malignant pleural mesothelioma: a pilot study. European Radiology |
| Armato SG, Blyth KG, Keating JJ, et al. (2016) Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group. Lung Cancer (Amsterdam, Netherlands). 101: 48-58 |