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Gregory Goldmacher
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2020 – today
- 2024
- [j1]Yiqiao Liu
, Sarah Halek, Randolph Crawford, Keith Persson, Michal Tomaszewski, Shubing Wang, Richard Baumgartner
3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. IEEE Access 12: 32859-32869 (2024) - 2023
- [c3]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. ISBI 2023: 1-5 - [i3]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. CoRR abs/2309.01823 (2023) - 2020
- [c2]Antong Chen, Jennifer Saouaf, Bo Zhou
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI 2020: 678-682 - [i2]Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR abs/2003.02943 (2020)
2010 – 2019
- 2019
- [c1]Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmacher:
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. WACV 2019: 1-10 - 2018
- [i1]Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen:
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. CoRR abs/1811.04437 (2018)
Coauthor Index
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