Youbao Tang

According to our database1, Youbao Tang authored at least 33 papers between 2010 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Bone Suppression on Chest Radiographs With Adversarial Learning.
CoRR, 2020

Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation.
CoRR, 2020

Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

One Click Lesion RECIST Measurement and Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

E<sup>2</sup>Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Weakly Supervised Lesion Co-Segmentation on Ct Scans.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial Learning.
IEEE Trans. Multim., 2019

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR, 2019

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep adversarial one-class learning for normal and abnormal chest radiograph classification.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep Learning Based Region Classification.
IEEE Trans. Multim., 2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018

Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks.
IEEE Trans. Image Process., 2017

Salient Object Detection with Chained Multi-Scale Fully Convolutional Network.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Text-Independent Writer Identification via CNN Features and Joint Bayesian.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Scene Text Detection via Edge Cue and Multi-features.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Saliency Detection Based on Graph-Structural Agglomerative Clustering.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014
Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform.
IEEE Trans. Inf. Forensics Secur., 2014

Text Line Segmentation Based on Matched Filtering and Top-Down Grouping for Handwritten Documents.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

Text-Independent Writer Identification Using Improved Structural Features.
Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2013
Offline text-independent writer identification using stroke fragment and contour based features.
Proceedings of the International Conference on Biometrics, 2013

2010
A Novel Biometric System Based on Hand Vein.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010


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