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Richard G. Abramson
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2020 – today
- 2023
- [j9]Xin Yu, Qi Yang
, Yinchi Zhou, Leon Y. Cai
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90: 102939 (2023) - 2022
- [j8]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) - [i12]Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman:
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR abs/2203.02430 (2022) - [i11]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR abs/2209.14378 (2022) - 2021
- [j7]Yucheng Tang, Riqiang Gao, Ho Hin Lee
High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 69: 101894 (2021) - [c20]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. ISBI 2021: 1491-1494 - 2020
- [c19]Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu
Semi-supervised multi-organ segmentation through quality assurance supervision. Image Processing 2020: 113131I - [c18]Olivia Tang, Yuchen Xu
Validation and optimization of multi-organ segmentation on clinical imaging archives. Image Processing 2020: 113132O - [c17]Yucheng Tang, Ho Hin Lee, Yuchen Xu
Contrast phase classification with a generative adversarial network. Image Processing 2020: 1131310 - [c16]Yuchen Xu
Outlier guided optimization of abdominal segmentation. Image Processing 2020: 1131336 - [i10]Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Outlier Guided Optimization of Abdominal Segmentation. CoRR abs/2002.04098 (2020) - [i9]Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. CoRR abs/2002.04102 (2020) - [i8]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior. CoRR abs/2012.12425 (2020)
2010 – 2019
- 2019
- [j6]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) - [j5]Yuankai Huo
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. IEEE Trans. Medical Imaging 38(4): 1016-1025 (2019) - [j4]Yuankai Huo
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(5): 1185-1196 (2019) - [c15]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. Image Processing 2019: 1094908 - [i7]Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision. CoRR abs/1911.05113 (2019) - [i6]Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Contrast Phase Classification with a Generative Adversarial Network. CoRR abs/1911.06395 (2019) - [i5]Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman:
Stochastic tissue window normalization of deep learning on computed tomography. CoRR abs/1912.00420 (2019) - 2018
- [j3]Yuankai Huo
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation. IEEE Trans. Biomed. Eng. 65(2): 336-343 (2018) - [c14]Yuankai Huo, Zhoubing Xu, Shunxing Bao
Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI 2018: 1217-1220 - [c13]Meg F. Bobo, Shunxing Bao
Fully convolutional neural networks improve abdominal organ segmentation. Image Processing 2018: 105742V - [c12]Yuankai Huo, Zhoubing Xu, Shunxing Bao
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. 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
- [c11]Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. MSKI@MICCAI 2017: 25-35 - [c10]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly. Image Processing 2017: 101330A - [c9]Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson
Multi-atlas spleen segmentation on CT using adaptive context learning. 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) - 2016
- [j2]Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63(8): 1563-1572 (2016) - [c8]Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson
Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set. Image Processing 2016: 97840U - [c7]Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson
Evaluation of body-wise and organ-wise registrations for abdominal organs. Image Processing 2016: 97841O - 2015
- [j1]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning. Medical Image Anal. 24(1): 18-27 (2015) - [c6]Jared A. Weis
Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941703 - [c5]Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson
Multi-atlas segmentation for abdominal organs with Gaussian mixture models. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941707 - [c4]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson
Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning. Image Processing 2015: 94130L - [c3]Christopher P. Lee, Zhoubing Xu, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson
Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy. Image Processing 2015: 94131N - 2014
- [c2]Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson
SIMPLE Is a Good Idea (and Better with Context Learning). MICCAI (1) 2014: 364-371 - [c1]Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson
Shape-constrained multi-atlas segmentation of spleen in CT. Image Processing 2014: 903446
Coauthor Index
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