Daguang Xu

发表

Explorer Learning to Translate with Products of Novices : A Suite of Open-Ended Challenge Problems for Teaching MT

Lin Yang, Adam Lopez, Matt Post, 2015 .

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

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, MICCAI.

NeurReg: Neural Registration and Its Application to Image Segmentation

Daguang Xu, Wenqi Li, Wentao Zhu, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Privacy-preserving Federated Brain Tumour Segmentation pdf

Daguang Xu, M. Jorge Cardoso, Maximilian Baust, 2019, MLMI@MICCAI.

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

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, SASHIMI@MICCAI.

Description of the JHU System Combination Scheme for WMT 2011

Daguang Xu, Yuan Cao, Damianos G. Karakos, 2011, WMT@EMNLP.

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Jan S. Kirschke, Daguang Xu, Christian Payer, 2020, Medical Image Anal..

Going to Extremes: Weakly Supervised Medical Image Segmentation pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, Mach. Learn. Knowl. Extr..

Representational Disentanglement for Multi-Domain Image Completion

Daguang Xu, Peter L. Choyke, Bradford J. Wood, 2019 .

Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Ghassan Hamarneh, Daguang Xu, Dorin Comaniciu, 2018, Comput. Medical Imaging Graph..

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

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, GLMI@MICCAI.

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies pdf

Daguang Xu, Xiaosong Wang, Yuhong Wen, 2020, MICCAI.

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.

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

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

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation

Daguang Xu, Bennett A Landman, Vishwesh Nath, 2020, IEEE Transactions on Medical Imaging.

Learning Image Labels On-the-fly for Training Robust Classification Models pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, ArXiv.

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

Daguang Xu, Chenxi Liu, Dong Yang, 2019, 2019 International Conference on 3D Vision (3DV).

4D CNN for semantic segmentation of cardiac volumetric sequences

Dong Yang, Daguang Xu, Holger Roth, 2019, STACOM@MICCAI.

Weakly supervised segmentation from extreme points

Daguang Xu, Ling Zhang, Fausto Milletari, 2019, LABELS/HAL-MICCAI/CuRIOUS@MICCAI.

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

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

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Dong Yang, Daguang Xu, Lequan Yu, 2020, Medical Image Anal..

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

Dong Yang, Daguang Xu, Xiaosong Wang, 2019, ArXiv.

VerSe: A Vertebrae Labelling and Segmentation Benchmark pdf

Jan S. Kirschke, Daguang Xu, Xin Wang, 2020, ArXiv.

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

Daguang Xu, Alan L. Yuille, Qihang Yu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19 pdf

Daguang Xu, Leo K. Tam, Xiaosong Wang, 2020, ArXiv.

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning pdf

Daguang Xu, Masahiro Oda, Weichung Wang, 2020, DART/DCL@MICCAI.

Cardiac Segmentation of LGE MRI with Noisy Labels

Daguang Xu, Wentao Zhu, Ziyue Xu, 2019, STACOM@MICCAI.

Enhancing Foreground Boundaries for Medical Image Segmentation pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, ArXiv.

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Daguang Xu, Bradford J. Wood, Ling Zhang, 2020, IEEE Transactions on Medical Imaging.

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

Xiaohui Xie, Daguang Xu, Wei Fan, 2019, bioRxiv.

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation pdf

Daguang Xu, Wenqi Li, Wentao Zhu, 2020, MICCAI.

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network

Daguang Xu, Xiaosong Wang, Ling Zhang, 2020, MIDL.

Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies

Gregory D. Hager, Daguang Xu, Adam P. Harrison, 2020, Medical Image Anal..

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning pdf

Daguang Xu, Dong Yang, Richard D. White, 2020, ArXiv.

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

Daguang Xu, Junzhou Huang, Jinzheng Cai, 2019, MICCAI.

Robust 3D Organ Localization with Dual Learning Architectures and Fusion

Daguang Xu, Xiaoguang Lu, David Liu, 2016, LABELS/DLMIA@MICCAI.

Segmentation using adversarial image-to-image networks

Daguang Xu, S. Kevin Zhou, Dong Yang, 2020 .

An Alarm System for Segmentation Algorithm Based on Shape Model

Dong Yang, Daguang Xu, Alan L. Yuille, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep Hierarchical Multi-label Classification of Chest X-ray Images

Gregory D. Hager, Daguang Xu, Adam P. Harrison, 2018, MIDL.

Multi-Domain Image Completion for Random Missing Input Data

Daguang Xu, Xiaosong Wang, Wentao Zhu, 2020, IEEE Transactions on Medical Imaging.

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

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

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

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

Daguang Xu, Dorin Comaniciu, Yefeng Zheng, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation pdf

Dong Yang, Thomas Sanford, Daguang Xu, 2019, ArXiv.

Federated Learning for Breast Density Classification: A Real-World Implementation pdf

Daguang Xu, Jesse Tetreault, Ahmed Harouni, 2020, DART/DCL@MICCAI.

The future of digital health with federated learning

Ronald M. Summers, Daguang Xu, M. Jorge Cardoso, 2020, npj Digital Medicine.

Interactive segmentation of medical images through fully convolutional neural networks pdf

Daguang Xu, Holger Roth, Bradley J. Erickson, 2019, ArXiv.

When Radiology Report Generation Meets Knowledge Graph pdf

Daguang Xu, Xiaosong Wang, Qihang Yu, 2020, AAAI.

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.

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

Lin Yang, Daguang Xu, Yingda Xia, 2019, MLMI@MICCAI.

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

Dong Yang, Daguang Xu, Holger Roth, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation pdf

Daguang Xu, Holger Roth, Vishwesh Nath, 2021, MICCAI.

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays pdf

Daguang Xu, Ziyue Xu, Leo K. Tam, 2021, ArXiv.

Federated learning improves site performance in multicenter deep learning without data sharing

Daguang Xu, Baris Turkbey, Jesse Tetreault, 2021, J. Am. Medical Informatics Assoc..

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation pdf

Daguang Xu, Masahiro Oda, Kensaku Mori, 2021, CLIP/DCL/LL-COVID19/PPML@MICCAI.

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

Daguang Xu, Holger Roth, Can Zhao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation pdf

Daguang Xu, Baris Turkbey, Holger Roth, 2021, ArXiv.

UNETR: Transformers for 3D Medical Image Segmentation pdf

Daguang Xu, Holger Roth, Ali Hatamizadeh, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Test-Time Training for Deformable Multi-Scale Image Registration

Xiaohui Xie, Daguang Xu, Yufang Huang, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Jan S. Kirschke, Daguang Xu, Tianfu Wang, 2021, Medical Image Anal..

The Medical Segmentation Decathlon pdf

Yan Wang, Akshay Pai, Daguang Xu, 2021, ArXiv.

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures pdf

Daguang Xu, Andriy Myronenko, Wentao Zhu, 2021, MICCAI.

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

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

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

Daguang Xu, Yong Huang, Jin U Kang, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

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

Daguang Xu, Yong Huang, Jin U Kang, 2014, Optics express.