Albert Assad

According to our database, Albert Assad authored at least 11 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117].

Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman

Comput. Biol. Medicine, 2022

2019

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.

Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman

IEEE Trans. Medical Imaging, 2019

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

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

IEEE Trans. Medical Imaging, 2019

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.

Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman

Comput. Biol. Medicine, 2019

Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.

Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.

Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman

IEEE Trans. Biomed. Eng., 2018

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.

Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Fully convolutional neural networks improve abdominal organ segmentation.

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

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Adversarial synthesis learning enables segmentation without target modality ground truth.

Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Multi-atlas spleen segmentation on CT using adaptive context learning.

Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.

Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017