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Eyjolfur Gudmundsson
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2020 – today
- 2024
- [j2]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) - [j1]Wing Keung Cheung
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. J. Big Data 11(1): 104 (2024) - 2023
- [i3]Wing Keung Cheung
A data-centric deep learning approach to airway segmentation. CoRR abs/2308.00008 (2023) - [i2]Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III:
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). CoRR abs/2312.00223 (2023) - 2022
- [c2]An Zhao, Ahmed H. Shahin, Yukun Zhou
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. MICCAI (8) 2022: 223-233 - [i1]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR abs/2203.16606 (2022)
2010 – 2019
- 2019
- [c1]Eyjolfur Gudmundsson
Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans. Computer-Aided Diagnosis 2019: 109503J
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