Zhoubing Xu

发表

Evaluation of body-wise and organ-wise registrations for abdominal organs

Bennett A. Landman, Richard G. Abramson, Zhoubing Xu, 2016, SPIE Medical Imaging.

SIMPLE Is a Good Idea (and Better with Context Learning)

Bennett A. Landman, Richard G. Abramson, Andrew J. Asman, 2014, MICCAI.

3D whole brain segmentation using spatially localized atlas network tiles

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, NeuroImage.

Collaborative labeling of malignant glioma with WebMILL: a first look

Bennett A Landman, Zhoubing Xu, Eesha Singh, 2012, Medical Imaging.

Abdomen and spinal cord segmentation with augmented active shape models

Bennett A Landman, Benjamin N. Conrad, Zhoubing Xu, 2016, Journal of medical imaging.

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2018, IEEE Transactions on Medical Imaging.

Quantitative anatomical labeling of the anterior abdominal wall

Bennett A Landman, Zhoubing Xu, Andrew J Asman, 2013, Medical Imaging.

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Landmark detection and multiorgan segmentation: Representations and supervised approaches

S. Kevin Zhou, Zhoubing Xu, 2020 .

Immersive virtual reality for visualization of abdominal CT

Bennett A Landman, R. E. Bodenheimer, Zhoubing Xu, 2013, Medical Imaging.

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (saimiri sciureus) based on diffusion tensor imaging

Prasanna Parvathaneni, Zhaohua Ding, Zhoubing Xu, 2016, SPIE Medical Imaging.

Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study

Bennett A. Landman, Zhoubing Xu, Benjamin K. Poulose, 2013, Medical Imaging.

Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning

Bennett A. Landman, Richard G. Abramson, Zhoubing Xu, 2015, Medical Imaging.

Automatic Segmentation of the Human Abdomen on Clinically Acquired CT

Zhoubing Xu, Zhoubing Xu, 2016 .

Segmentation of malignant gliomas through remote collaboration and statistical fusion.

Bennett A Landman, Zhoubing Xu, Eesha Singh, 2012, Medical physics.

Class-Aware Adversarial Lung Nodule Synthesis In CT Images

Jie Yang, Dorin Comaniciu, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Whole abdominal wall segmentation using augmented active shape models (AASM) with multi-atlas label fusion and level set

Zhoubing Xu, Bennett A. Landman, Rebeccah B. Baucom, 2016, SPIE Medical Imaging.

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19 pdf

Youngjin Yoo, Zhoubing Xu, Sasa Grbic, 2020, ArXiv.

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, IEEE Transactions on Medical Imaging.

Adversarial synthesis learning enables segmentation without target modality ground truth

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Select, Attend, and Transfer: Light, Learnable Skip Connections

Ghassan Hamarneh, Anmol Sharma, Dorin Comaniciu, 2018, MLMI@MICCAI.

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

Yuankai Huo, Jiaqi Liu, Bennett A. Landman, 2017, Medical Imaging.

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data pdf

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, MICCAI.

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images

Shaohua Kevin Zhou, Jin Hyeong Park, Yuankai Huo, 2018, MICCAI.

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition pdf

Jie Yang, Dorin Comaniciu, Eli Gibson, 2018, ArXiv.

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

Sébastien Ourselin, Daniel Rueckert, Marc Modat, 2016, IEEE Transactions on Biomedical Engineering.

Shape-constrained multi-atlas segmentation of spleen in CT

Bo Li, Bennett A. Landman, Richard G. Abramson, 2014, Medical Imaging.

Collaborative labeling of malignant glioma

Bennett A. Landman, Andrew J. Asman, Zhoubing Xu, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2017, Medical Imaging.

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

Yuankai Huo, Jiaqi Liu, Bennett A. Landman, 2017, IEEE Transactions on Biomedical Engineering.

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images pdf

Dorin Comaniciu, Weidong Cai, Donghao Zhang, 2020, ArXiv.

Self-assessed performance improves statistical fusion of image labels.

Bennett A Landman, Zhoubing Xu, Andrew J Asman, 2014, Medical physics.

Generalized statistical label fusion using multiple consensus levels

Bennett A. Landman, Andrew J. Asman, Zhoubing Xu, 2012, Medical Imaging.

Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy

Bennett A. Landman, Richard G. Abramson, Zhoubing Xu, 2015, Medical Imaging.

Multi-atlas segmentation for abdominal organs with Gaussian mixture models

Bennett A. Landman, Richard G. Abramson, Zhoubing Xu, 2015, Medical Imaging.

Multi-atlas spleen segmentation on CT using adaptive context learning

Yuankai Huo, Jiaqi Liu, Bennett A. Landman, 2017, Medical Imaging.

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning

Bennett A Landman, Zhoubing Xu, Richard G Abramson, 2015, Medical Image Anal..

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization pdf

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, IPMI.

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning

Daguang Xu, Shaohua Kevin Zhou, Jin Hyeong Park, 2017, MICCAI.

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Youngjin Yoo, William Parker, Zhoubing Xu, 2020, ArXiv.

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2021, Medical Imaging.

Pancreas CT Segmentation by Predictive Phenotyping

Shunxing Bao, Yuankai Huo, Bennett A. Landman, 2021, MICCAI.

Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.

Bennett A Landman, Zhoubing Xu, Ryan P. Burke, 2016, Academic radiology.

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Dorin Comaniciu, Thomas Flohr, Zhoubing Xu, 2020, Radiology. Artificial intelligence.

Quantitative CT Imaging of Ventral Hernias: Preliminary Validation of an Anatomical Labeling Protocol

Bennett A. Landman, Richard G. Abramson, Andrew J. Asman, 2015, PloS one.