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Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth.

Y. Huo, Z. Xu, S. Bao, A. Assad, R. Abramson, and B. Landman. CoRR, (2017)

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Nagi Assad Youssif Assad

Assad Elmohamed

Younes Assad

Assad Ghawidel

Assad Maharam

Other publications of authors with the same name

Multi-atlas spleen segmentation on CT using adaptive context learning.J. Liu, Y. Huo, Z. Xu, A. Assad, R. Abramson, and B. Landman. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 1013309. SPIE, (2017)Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.H. Moon, Y. Huo, R. Abramson, R. Peters, A. Assad, T. Moyo, M. Savona, and B. Landman. Comput. Biol. Medicine, (2019)SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.Y. Huo, Z. Xu, H. Moon, S. Bao, A. Assad, T. Moyo, M. Savona, R. Abramson, and B. Landman. IEEE Trans. Medical Imaging, 38 (4): 1016-1025 (2019)SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.Y. Huo, Z. Xu, H. Moon, S. Bao, A. Assad, T. Moyo, M. Savona, R. Abramson, and B. Landman. CoRR, (2018)Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.Y. Huo, J. Liu, Z. Xu, R. Harrigan, A. Assad, R. Abramson, and B. Landman. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330A. SPIE, (2017)Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, M. Savona, A. Assad, R. Abramson and 1 other author(s). IEEE Trans. Medical Imaging, 38 (5): 1185-1196 (2019)Corrigendum to Äcceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" Comput. Biol. Med. 107 (2019) 109-117.H. Moon, Y. Huo, R. Abramson, R. Peters, A. Assad, T. Moyo, M. Savona, and B. Landman. Comput. Biol. Medicine, (2022)Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.Y. Tang, Y. Huo, Y. Xiong, H. Moon, A. Assad, T. Moyo, M. Savona, R. Abramson, and B. Landman. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094908. SPIE, (2019)Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth.Y. Huo, Z. Xu, S. Bao, A. Assad, R. Abramson, and B. Landman. CoRR, (2017)Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, M. Savona, A. Assad, R. Abramson and 1 other author(s). CoRR, (2018)

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Disambiguation of "Assad, Albert"

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Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth.

Please choose a person to relate this publication to

Nagi Assad Youssif Assad

Assad Elmohamed

Younes Assad

Assad Ghawidel

Assad Maharam

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Assad, Albert"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth.

Please choose a person to relate this publication to

Nagi Assad Youssif Assad

Assad Elmohamed

Younes Assad

Assad Ghawidel

Assad Maharam

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth.