Zhoubing Xu

According to our database, Zhoubing Xu authored at least 44 papers between 2012 and 2024.

Collaborative distances:

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

2024

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.

Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic

IEEE Trans. Medical Imaging, May, 2024

Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge.

Han Liu, Hao Li, Jiacheng Wang, Yubo Fan, Zhoubing Xu, Ipek Oguz

CoRR, 2024

2023

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.

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

Medical Image Anal., December, 2023

Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation.

Han Liu, Yubo Fan, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Flexible-C^m GAN: Towards Precise 3D Dose Prediction in Radiotherapy.

Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Characterizing Renal Structures with 3D Block Aggregate Transformers.

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

CoRR, 2022

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Pancreas CT Segmentation by Predictive Phenotyping.

Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

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

Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas J. Re, 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, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

CoRR, 2020

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

Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu

CoRR, 2020

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

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

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

Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Class-Aware Adversarial Lung Nodule Synthesis In CT Images.

Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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

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

Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu

CoRR, 2018

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

Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh

CoRR, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

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

Dong Yang, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.

Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Automatic Segmentation of the Human Abdomen on Clinically Acquired CT.

Zhoubing Xu

PhD thesis, 2016

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

Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman

IEEE Trans. Biomed. Eng., 2016

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

Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2016: 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

Proceedings of the Medical Imaging 2016: Image Processing, 2016

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, Iwona Stepniewska, Zhoubing Xu, Ann S. Choe, Zhaohua Ding, John C. Gore, Li Min Chen, Bennett A. Landman, Adam W. Anderson

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

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

Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman

Medical Image Anal., 2015

Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning.

Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2015: Image Processing, 2015

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

Christopher P. Lee, Zhoubing Xu, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Multi-atlas segmentation for abdominal organs with Gaussian mixture models.

Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

2014

Shape-constrained multi-atlas segmentation of spleen in CT.

Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Imaging 2014: Image Processing, 2014

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

Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

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

Zhoubing Xu, Wade M. Allen, Benjamin K. Poulose, Bennett A. Landman

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012

Generalized statistical label fusion using multiple consensus levels.

Zhoubing Xu, Andrew J. Asman, Bennett A. Landman

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Collaborative labeling of malignant glioma.

Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola B. Chambless, Reid Carleton Thompson, Bennett A. Landman

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012