SIMPLE Is a Good Idea (and Better with Context Learning). - Zhoubing Xu; Andrew J. Asman; Peter L. Shanahan; Richard G. Abramson; Bennett A. Landman (MICCAI (1), 2014)

Shape-constrained multi-atlas segmentation of spleen in CT. - Zhoubing Xu; Bo Li 026; Swetasudha Panda; Andrew J. Asman; Kristen L. Merkle; Peter L. Shanahan; Richard G. Abramson; Bennett A. Landman (Image Processing, 2014)

Multi-atlas segmentation for abdominal organs with Gaussian mixture models. - Ryan P. Burke; Zhoubing Xu; Christopher P. Lee 002; Rebeccah B. Baucom; Benjamin K. Poulose; Richard G. Abramson; Bennett A. Landman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness. - Jared A. Weis; Allison M. Johnsen; Geoffrey E. Wile; Thomas E. Yankeelov; Richard G. Abramson; Michael I. Miga (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy. - Christopher P. Lee 002; Zhoubing Xu; Ryan P. Burke; Rebeccah B. Baucom; Benjamin K. Poulose; Richard G. Abramson; Bennett A. Landman (Image Processing, 2015)

Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning. - Zhoubing Xu; Ryan P. Burke; Christopher P. Lee 002; Rebeccah B. Baucom; Benjamin K. Poulose; Richard G. Abramson; Bennett A. Landman (Image Processing, 2015)

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning. - Zhoubing Xu; Ryan P. Burke; Christopher P. Lee 002; Rebeccah B. Baucom; Benjamin K. Poulose; Richard G. Abramson; Bennett A. Landman (Medical Image Anal., 2015)

Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set. - Zhoubing Xu; Rebeccah B. Baucom; Richard G. Abramson; Benjamin K. Poulose; Bennett A. Landman (Image Processing, 2016)

Evaluation of body-wise and organ-wise registrations for abdominal organs. - Zhoubing Xu; Sahil A. Panjwani; Christopher P. Lee 002; Ryan P. Burke; Rebeccah B. Baucom; Benjamin K. Poulose; Richard G. Abramson; Bennett A. Landman (Image Processing, 2016)

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. - Zhoubing Xu; Christopher P. Lee 002; Mattias P. Heinrich; Marc Modat; Daniel Rueckert; Sébastien Ourselin; Richard G. Abramson; Bennett A. Landman (IEEE Trans. Biomed. Eng., 2016)

Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. - Peijun Hu; Yuankai Huo; Dexing Kong; John Jeffrey Carr; Richard G. Abramson; Katherine G. Hartley; Bennett A. Landman (MSKI@MICCAI, 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 (Image Processing, 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 (Image Processing, 2017)

Adversarial synthesis learning enables segmentation without target modality ground truth. - Yuankai Huo; Zhoubing Xu; Shunxing Bao; Albert Assad; Richard G. Abramson; Bennett A. Landman (ISBI, 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 (Image Processing, 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 (Image Processing, 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)

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 (Image Processing, 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)

Stochastic tissue window normalization of deep learning on computed tomography. - Yuankai Huo; Yucheng Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Shunxing Bao; Smita De; James G. Terry; John Jeffrey Carr; Richard G. Abramson; Bennett A. Landman (CoRR, 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)

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)

Semi-supervised multi-organ segmentation through quality assurance supervision. - Ho Hin Lee; Yucheng Tang; Olivia Tang; Yuchen Xu 001; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Contrast phase classification with a generative adversarial network. - Yucheng Tang; Ho Hin Lee; Yuchen Xu 001; Olivia Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Yuankai Huo; et al. (Image Processing, 2020)

Validation and optimization of multi-organ segmentation on clinical imaging archives. - Olivia Tang; Yuchen Xu 001; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Outlier guided optimization of abdominal segmentation. - Yuchen Xu 001; Olivia Tang; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (ISBI, 2021)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

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)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 2022)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; 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; et al. (Medical Image Anal., 2023)