Daguang Xu

According to our database1, Daguang Xu authored at least 47 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging, 2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 2020

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning.
CoRR, 2020

Going to Extremes: Weakly Supervised Medical Image Segmentation.
CoRR, 2020

Learning Image Labels On-the-fly for Training Robust Classification Models.
CoRR, 2020

Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies.
CoRR, 2020

Multi-Domain Image Completion for Random Missing Input Data.
CoRR, 2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation.
CoRR, 2020

Enhancing Foreground Boundaries for Medical Image Segmentation.
CoRR, 2020

The Future of Digital Health with Federated Learning.
CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark.
CoRR, 2020

NeurReg: Neural Registration and Its Application to Image Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

When Radiology Report Generation Meets Knowledge Graph.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.
CoRR, 2019

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking.
CoRR, 2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.
CoRR, 2019

Interactive segmentation of medical images through fully convolutional neural networks.
CoRR, 2019

Combo loss: Handling input and output imbalance in multi-organ segmentation.
Comput. Medical Imaging Graph., 2019

Deep Hierarchical Multi-label Classification of Chest X-ray Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Weakly Supervised Segmentation from Extreme Points.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Cardiac Segmentation of LGE MRI with Noisy Labels.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Alarm System for Segmentation Algorithm Based on Shape Model.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.
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.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Robust 3D Organ Localization with Dual Learning Architectures and Fusion.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2013
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT.
Trans. Assoc. Comput. Linguistics, 2013

2011
Description of the JHU System Combination Scheme for WMT 2011.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011


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