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Zhoubing Xu
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2020 – today
- 2024
- [j8]Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic:
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. IEEE Trans. Medical Imaging 43(5): 1995-2009 (2024) - [i21]Han Liu, Hao Li, Jiacheng Wang, Yubo Fan, Zhoubing Xu, Ipek Oguz:
Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge. CoRR abs/2406.15716 (2024) - 2023
- [j7]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. Medical Image Anal. 90: 102939 (2023) - [c26]Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen:
Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy. CVPR 2023: 715-725 - [c25]Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz:
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. MICCAI (2) 2023: 25-34 - [i20]Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic:
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. CoRR abs/2304.14030 (2023) - [i19]Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz:
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation. CoRR abs/2307.12004 (2023) - [i18]Han Liu, Yubo Fan, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz:
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation. CoRR abs/2311.12437 (2023) - 2022
- [i17]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) - [i16]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:
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR abs/2206.08833 (2022) - [i15]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
- [c24]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:
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) 2021: 25-35 - [c23]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:
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. Image Processing 2021 - 2020
- [i14]Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. CoRR abs/2003.07999 (2020) - [i13]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:
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. CoRR abs/2004.01279 (2020) - [i12]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:
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. CoRR abs/2005.01903 (2020)
2010 – 2019
- 2019
- [j6]Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
3D whole brain segmentation using spatially localized atlas network tiles. NeuroImage 194: 105-119 (2019) - [j5]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. IEEE Trans. Medical Imaging 38(4): 1016-1025 (2019) - [j4]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. IEEE Trans. Medical Imaging 38(5): 1185-1196 (2019) - [c22]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI 2019: 1348-1352 - [c21]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI 2019: 417-425 - [i11]Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles. CoRR abs/1903.12152 (2019) - 2018
- [j3]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation. IEEE Trans. Biomed. Eng. 65(2): 336-343 (2018) - [c20]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI 2018: 1217-1220 - [c19]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. MICCAI (3) 2018: 698-705 - [c18]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. MICCAI (2) 2018: 711-719 - [c17]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. Image Processing 2018: 1057409 - [i10]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR abs/1804.05181 (2018) - [i9]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. CoRR abs/1805.10376 (2018) - [i8]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. CoRR abs/1806.00546 (2018) - [i7]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) - [i6]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) - [i5]Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu:
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. CoRR abs/1812.01737 (2018) - [i4]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. CoRR abs/1812.11204 (2018) - 2017
- [c16]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:
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI 2017: 633-644 - [c15]Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou:
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. MICCAI (3) 2017: 338-346 - [c14]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:
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) 2017: 498-506 - [c13]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly. Image Processing 2017: 101330A - [c12]Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas spleen segmentation on CT using adaptive context learning. Image Processing 2017: 1013309 - [i3]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:
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR abs/1705.05998 (2017) - [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
- [b1]Zhoubing Xu:
Automatic Segmentation of the Human Abdomen on Clinically Acquired CT. Vanderbilt University, Nashville, Tennessee, USA, 2016 - [j2]Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman:
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63(8): 1563-1572 (2016) - [c11]Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson, Benjamin K. Poulose, Bennett A. Landman:
Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set. Image Processing 2016: 97840U - [c10]Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Evaluation of body-wise and organ-wise registrations for abdominal organs. Image Processing 2016: 97841O - [c9]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:
A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. Image Processing 2016: 97843K - 2015
- [j1]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning. Medical Image Anal. 24(1): 18-27 (2015) - [c8]Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Multi-atlas segmentation for abdominal organs with Gaussian mixture models. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941707 - [c7]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning. Image Processing 2015: 94130L - [c6]Christopher P. Lee, Zhoubing Xu, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy. Image Processing 2015: 94131N - 2014
- [c5]Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman:
SIMPLE Is a Good Idea (and Better with Context Learning). MICCAI (1) 2014: 364-371 - [c4]Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman:
Shape-constrained multi-atlas segmentation of spleen in CT. Image Processing 2014: 903446 - 2013
- [c3]Zhoubing Xu, Wade M. Allen, Benjamin K. Poulose, Bennett A. Landman:
Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study. Image Processing 2013: 86693T - 2012
- [c2]Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola B. Chambless, Reid Carleton Thompson, Bennett A. Landman:
Collaborative labeling of malignant glioma. ISBI 2012: 1148-1151 - [c1]Zhoubing Xu, Andrew J. Asman, Bennett A. Landman:
Generalized statistical label fusion using multiple consensus levels. Image Processing 2012: 831411
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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