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2020 – today
- 2022
[j5]Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman:
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117]. Comput. Biol. Medicine 140: 107 (2022)
2010 – 2019
- 2019
- [j4]Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman:
Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline. Comput. Biol. Medicine 107: 109-117 (2019) - [j3]Yuankai Huo
, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. IEEE Trans. Medical Imaging 38(4): 1016-1025 (2019) - [j2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(5): 1185-1196 (2019) - [c6]Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. Medical Imaging: Image Processing 2019: 1094908 - 2018
- [j1]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation. IEEE Trans. Biomed. Eng. 65(2): 336-343 (2018) - [c5]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI 2018: 1217-1220 - [c4]Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman:
Fully convolutional neural networks improve abdominal organ segmentation. Medical Imaging: Image Processing 2018: 105742V - [c3]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Medical Imaging: Image Processing 2018: 1057409 - [i4]Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. CoRR abs/1810.06498 (2018) - [i3]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks. CoRR abs/1811.04045 (2018) - 2017
- [c2]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly. Medical Imaging: Image Processing 2017: 101330A - [c1]Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas spleen segmentation on CT using adaptive context learning. Medical Imaging: Image Processing 2017: 1013309 - [i2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR abs/1712.00542 (2017) - [i1]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth. CoRR abs/1712.07695 (2017)
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