Paper

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L Yuille, Daguang Xu
arXiv preprint arXiv:1912.09628, ( 2020 )

NeurReg: Neural Registration and Its Application to Image Segmentation

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
Winter Conference on Applications of Computer Vision (WACV), ( 2020 )

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
Winter Conference on Applications of Computer Vision (WACV)（2020）

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan Yuille, Daguang Xu
International Conference on 3D Vision (3DV) ( 2019 )

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
arXiv preprint arXiv:1906.03347 ( 2019 )

4D CNN for semantic segmentation of cardiac volumetric sequences

Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth
10th Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM) ( 2019 )

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking

Wentao Zhu, Yufang Huang, Mani A Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie
arXiv preprint arXiv:1906.07357 ( 2019 )

Combo loss: Handling input and output imbalance in multi-organ segmentation

Saeid Asgari Taghanaki, Yefeng Zheng, S Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Computerized Medical Imaging and Graphics, 24-33 ( 2019 )

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
arXiv preprint arXiv:1907.03728, ( 2019 )

Cardiac Segmentation of LGE MRI with Noisy Labels

Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
10th Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM), ( 2019 )

Privacy-preserving Federated Brain Tumour Segmentation

Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M Jorge Cardoso, Andrew Feng
International Workshop on Machine Learning in Medical Imaging (MLMI) ( 2019 )

Weakly supervised segmentation from extreme points

Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (LABELS) ( 2019 )

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
International Workshop on Machine Learning in Medical Imaging(MLMI) ( 2019 )

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2019 )

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI) ( 2019 )

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2019 )

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
International Workshop on Graph Learning in Medical Imaging (GLMI) ( 2019 )

An Alarm System For Segmentation Algorithm Based On Shape Model

Fengze Liu, Yingda Xia, Dong Yang, Alana Yuille, Daguang Xu
International Conference on Computer Vision (ICCV) ( 2019 )

Interactive segmentation of medical images through fully convolutional neural networks

Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J Erickson
arXiv preprint  arXiv:1903.08205  ( 2019 )

Deep Hierarchical Multi-label Classification of Chest X-ray Images
Haomin Chen, Shun Miao, Daguang Xu, Gregory D Hager, Adam P Harrison

Medical Imaging with Deep Learning (MIDL) (oral)  ( 2019 )

3d anisotropic hybrid network: Transferring convolutional features from 2d images to 3d anisotropic volumes
Siqi Liu, Daguang Xu, S Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna Jerebko, Weidong Cai, Dorin Comaniciu

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2018 )

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning

Zhoubing Xu, Qiangui Huang, JinHyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, S Kevin Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 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, S Kevin Zhou, Zhoubing Xu, Mingqing Chen, JinHyeong Park, Sasa Grbic, Trac D Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2017 )

Automatic liver segmentation using an adversarial image-to-image network

Dong Yang, Daguang Xu, S Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris Metaxas, Dorin Comaniciu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 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, S Kevin Zhou, Zhoubing Xu, JinHyeong Park, Mingqing Chen, Trac D Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
International
Conference on Information Processing in Medical Imaging (IPMI) ( 2017 )

Robust 3d organ localization with dual learning architectures and fusion

Xiaoguang Lu, Daguang Xu, David Liu
Proceedings of 2nd workshop on Deep Learning in Medical Image Analysis (DLMIA) ( 2016 )

Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Proc. SPIE ( 2015 )

Volumetric (3D) compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Biomedical optics express ( 2014 )

Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
JOSA A ( 2014 )

GPU-accelerated non-uniform fast Fourier transform-based compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Optics express ( 2014 )

Compressive sensing spectral domain optical coherence tomography with dispersion compensation

Daguang Xu, Yong Huang, Jin U Kang
Proc. SPIE ( 2014 )

Real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Optics Letters ( 2014 )

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Biomedical optics express ( 2013 )

Assessment of robust reconstruction algorithms for compressive sensing spectral-domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
 Proc. SPIE ( 2013 )

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT

Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beaniesh Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao
Transactions of the Association of Computational Linguistics ( 2013 )

Modified compressive sensing optical coherence tomography with noise reduction

Daguang Xu, Namrata Vaswani, Yong Huang, Jin U Kang
Optics letters ( 2012 )

Description of the JHU system combination scheme for WMT 2011

Daguang Xu, Yuan Cao, Damianos Karakos
Proceedings of the 2011 Workshop on Statistical Machine Translation (WMT-2011) ( 2011 )

Radial Gaussianization with cluster-specific bias compensation

Shuai Huang, Damianos Karakos, Daguang Xu
Proceedings of the 2011 Workshop on Statistical Signal Processing (SSP-2011) ( 2011 )

Patent

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna Jerebko, Sasa Grbic, Olivier Pauly, Dorin Comaniciu
US Patent App. 15996719 (2019)

Medical Image Object Detection with Dense Feature Pyramid Network Architecture in Machine Learning

Bogdan Georgescu, Eric Wengrowski, Siqi Liu, Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou
US Patent App. 15802893 (2019)

Method and system for artificial intelligence based medical image segmentation

Shaohua Kevin Zhou, Mingqing Chen, Hui Ding, Bogdan Georgescu, Mehmet Akif Gulsun, Tae Soo Kim, Atilla Peter Kiraly, Xiaoguang Lu, Jin-hyeong Park, Puneet Sharma, Shanhui Sun, Daguang Xu, XU Zhoubing, Yefeng Zheng
US Patent App. 16094900 (2019)

Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training

Daguang Xu, Tao Xiong, David Liu, Shaohua Kevin Zhou, Mingqing Chen, Dorin Comaniciu
US Patent App. 10/210,613 (2019)

Intelligent contouring of anatomy with structured user click points

Shaohua Kevin Zhou, Daguang Xu, Jan Kretschmer, Han Xiao
US Patent App. 15/661,429 (2019)

Semantic segmentation for cancer detection in digital breast tomosynthesis

Lucian Mihai Itu, Laszlo Lazar, Siqi Liu, Olivier Pauly, Philipp Seegerer, Iulian Ionut Stroia, Alexandru Turcea, Anamaria Vizitiu, Daguang Xu, Shaohua Kevin Zhou
US Patent App. 16/033,332 (2019)

Deep Image-to-Image Network Learning for Medical Image Analysis

S Kevin Zhou, Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, David Liu, Daguang Xu
US Patent App. 16/042,538 (2018)

System for Synthetic Display of Multi-Modality Data

Bernhard Geiger, Shaohua Kevin Zhou, Carol L Novak, Daguang Xu, David Liu
US Patent App. 15/469,878 (2018)

Method and system for whole body bone removal and vascular visualization in medical image data

Nathan Lay, David Liu, Shaohua Kevin Zhou, Bernhard Geiger, Li Zhang, Vincent Ordy, Daguang Xu, Chris Schwemmer, Philipp Wolber, Noha Youssry El-zehiry
US Patent App. 16/021,881 (2018)

Automatic Liver Segmentation Using Adversarial Image-to-Image Network

Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Dorin Comaniciu
US Patent App. 15/877,805 (2018)

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

Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Mingqing Chen, XU Zhoubing, Dorin Comaniciu, Jin-hyeong Park
US Patent App. 15/886,873 (2018)

Adversarial and Dual Inverse Deep Learning Networks for Medical Image Analysis

Shaohua Kevin Zhou, Mingqing Chen, Daguang Xu, XU Zhoubing, Dong Yang
US Patent App. 15/868,062 (2018)

Hierarchical Learning of Weights of a Neural Network for Performing Multiple Analyses

Shaohua Kevin Zhou, Mingqing Chen, Daguang Xu, XU Zhoubing, Shun Miao, Dong Yang, He Zhang
US Patent App. 15/865,581 (2018)

Atlas-based contouring of organs at risk for radiation therapy

Li Zhang, Shanhui Sun, Shaohua Kevin Zhou, Daguang Xu, XU Zhoubing, Tommaso Mansi, Ying Chi, Yefeng Zheng, Pavlo Dyban, Nora Hünemohr, Julian Krebs, David Liu
US Patent App. 15/625,380 (2018)

Method and System for Image Registration Using an Intelligent Artificial Agent

Rui Liao, Shun Miao, Pierre De Tournemire, Julian Krebs, Li Zhang, Bogdan Georgescu, Sasa Grbic, Florin Cristian Ghesu, Vivek Kumar Singh, Daguang Xu, Tommaso Mansi, Ali Kamen, Dorin Comaniciu
US Patent App. 15/587,094 (2017)

Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training

Daguang Xu, Tao Xiong, David Liu, Shaohua Kevin Zhou, Mingqing Chen, Dorin Comaniciu
US Patent App. 15/591,157 (2017)

Deep Image-to-Image Network Learning for Medical Image Analysis

S Kevin Zhou, Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, David Liu, Daguang Xu
US Patent App. 15/618,384 (2017)

Deep image-to-image network learning for medical image analysis

S Kevin Zhou, Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, David Liu, Daguang Xu
US Patent 9,760,807 (2017)

User-guided shape morphing in bone segmentation for medical imaging

Daguang Xu, Shaohua Kevin Zhou
US Patent 9,710,880 (2017)

Method and System for Whole Body Bone Removal and Vascular Visualization in Medical Image Data

Nathan Lay, David Liu, Shaohua Kevin Zhou, Bernhard Geiger, Li Zhang, Vincent Ordy, Daguang Xu, Chris Schwemmer, Philipp Wolber, Noha Youssry El-Zehiry
US Patent App. 14/703,132 (2016)

Book Chapter

Segmentation using adversarial image-to-image networks

Dong Yang, Tao Xiong, Daguang Xu, S Kevin Zhou, Handbook of Medical Image Computing and Computer Assisted Intervention, 2020

Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Dong Yang, Tao Xiong, Daguang Xu, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, 2019

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local vs. Global Image Context

Y. Zheng, D. Liu, B. Georgescu, D. Xu, and D. Comaniciu, Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, 2016

Medical Image Recognition Segmentation and Parsing: Machine Learning and Multiple Object Approaches

Shaohua Kevin Zhou, Daguang Xu, Deep Learning for Medical Image Analysis, Elsevier, 2015