Collaborative labeling of malignant glioma. - Zhoubing Xu; Andrew J. Asman; Eesha Singh; Lola B. Chambless; Reid Carleton Thompson; Bennett A. Landman (ISBI, 2012)

Generalized statistical label fusion using multiple consensus levels. - Zhoubing Xu; Andrew J. Asman; Bennett A. Landman (Image Processing, 2012)

Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study. - Zhoubing Xu; Wade M. Allen; Benjamin K. Poulose; Bennett A. Landman (Image Processing, 2013)

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)

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)

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. - Yurui Gao; Prasanna Parvathaneni; Kurt Schilling; Feng Wang 052; Iwona Stepniewska; Zhoubing Xu; Ann S. Choe; Zhaohua Ding; John C. Gore; Li Min Chen; Bennett A. Landman; Adam W. Anderson (Image Processing, 2016)

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)

Automatic Segmentation of the Human Abdomen on Clinically Acquired CT. - Zhoubing Xu (2016)

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. - Dong Yang 005; Tao Xiong; Daguang Xu; Qiangui Huang; David Liu 001; Shaohua Kevin Zhou; Zhoubing Xu; Jin Hyeong Park; Mingqing Chen; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; et al. (IPMI, 2017)

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. - Zhoubing Xu; Qiangui Huang; Jin Hyeong Park; Mingqing Chen; Daguang Xu; Dong Yang 005; David Liu 001; Shaohua Kevin Zhou (MICCAI (3), 2017)

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. - Dong Yang 005; Tao Xiong; Daguang Xu; Shaohua Kevin Zhou; Zhoubing Xu; Mingqing Chen; Jin Hyeong Park; Sasa Grbic; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 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)

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Yuankai Huo; Zhoubing Xu; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (MICCAI (3), 2018)

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. - Zhoubing Xu; Yuankai Huo; Jin Hyeong Park; Bennett A. Landman; Andy Milkowski; Sasa Grbic; Shaohua Kevin Zhou (MICCAI (2), 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)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. - Siqi Liu 001; Eli Gibson; Sasa Grbic; Zhoubing Xu; Arnaud Arindra Adiyoso Setio; Jie Yang 041; Bogdan Georgescu; Dorin Comaniciu (CoRR, 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)

Class-Aware Adversarial Lung Nodule Synthesis In CT Images. - Jie Yang 041; Siqi Liu 001; Sasa Grbic; Arnaud Arindra Adiyoso Setio; Zhoubing Xu; Eli Gibson; Guillaume Chabin; Bogdan Georgescu; Andrew F. Laine; Dorin Comaniciu (ISBI, 2019)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (MLMI@MICCAI, 2019)

3D whole brain segmentation using spatially localized atlas network tiles. - Yuankai Huo; Zhoubing Xu; Yunxi Xiong; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (NeuroImage, 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)

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. - Donghao Zhang; Siqi Liu 001; Shikha Chaganti; Eli Gibson; Zhoubing Xu; Sasa Grbic; Weidong Cai 001; Dorin Comaniciu (CoRR, 2020)

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. - Shikha Chaganti; Abishek Balachandran; Guillaume Chabin; Stuart Cohen; Thomas Flohr 001; Bogdan Georgescu; Philippe Grenier; Sasa Grbic; Siqi Liu 001; François Mellot; Nicolas Murray; Savvas Nicolaou; et al. (CoRR, 2020)

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. - Siqi Liu 001; Bogdan Georgescu; Zhoubing Xu; Youngjin Yoo; Guillaume Chabin; Shikha Chaganti; Sasa Grbic; Sebastian Piat; Brian Teixeira; Abishek Balachandran; Vishwanath RS; Thomas J. Re; et al. (CoRR, 2020)

Pancreas CT Segmentation by Predictive Phenotyping. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Qi Yang 004; Xin Yu 010; Yuyin Zhou; Shunxing Bao; Yuankai Huo; Jeffrey M. Spraggins; Jack Virostko; Zhoubing Xu; Bennett A. Landman (MICCAI (1), 2021)

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Zhoubing Xu; Brent V. Savoie; Shunxing Bao; Yuankai Huo; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Bennett A. Landman (Image Processing, 2021)

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)

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. - Riqiang Gao; Thomas Z. Li; Yucheng Tang; Zhoubing Xu; Michael N. Kammer; Sanja L. Antic; Kim L. Sandler; Fabien Maldonado; Thomas A. Lasko; Bennett A. Landman (CoRR, 2022)

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy. - Riqiang Gao; Bin Lou; Zhoubing Xu; Dorin Comaniciu; Ali Kamen (CVPR, 2023)

Learning Site-Specific Styles for Multi-institutional Unsupervised Cross-Modality Domain Adaptation. - Han Liu; Yubo Fan; Zhoubing Xu; Benoit M. Dawant; Ipek Oguz (BraTS/CrossMoDA@MICCAI, 2023)

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. - Han Liu; Hao Li; Xing Yao; Yubo Fan; Dewei Hu; Benoit M. Dawant; Vishwesh Nath; Zhoubing Xu; Ipek Oguz (MICCAI (2), 2023)

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)

Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge. - Han Liu; Hao Li; Jiacheng Wang 007; Yubo Fan; Zhoubing Xu; Ipek Oguz (CoRR, 2024)

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. - Han Liu; Zhoubing Xu; Riqiang Gao; Hao Li 108; Jianing Wang 004; Guillaume Chabin; Ipek Oguz; Sasa Grbic (IEEE Trans. Medical Imaging, 2024)