Fuyong Xing

According to our database1, Fuyong Xing authored at least 49 papers between 2011 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle.
IEEE J. Biomedical and Health Informatics, 2018

Revisiting graph construction for fast image segmentation.
Pattern Recognition, 2018

Pairwise based deep ranking hashing for histopathology image classification and retrieval.
Pattern Recognition, 2018

Self-learning for face clustering.
Pattern Recognition, 2018

Efficient and robust cell detection: A structured regression approach.
Medical Image Analysis, 2018

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.
CoRR, 2018

2017
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Supervised graph hashing for histopathology image retrieval and classification.
Medical Image Analysis, 2017

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.
CoRR, 2017

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017

Cell Encoding for Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Asymmetric Discrete Graph Hashing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Deep Voting and Structured Regression for Microscopy Image Analysis.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
An Automatic Learning-Based Framework for Robust Nucleus Segmentation.
IEEE Trans. Med. Imaging, 2016

Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection.
IEEE Trans. Med. Imaging, 2016

SemiContour: A Semi-supervised Learning Approach for Contour Detection.
CoRR, 2016

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
High-throughput histopathological image analysis via robust cell segmentation and hashing.
Medical Image Analysis, 2015

Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Region segmentation in histopathological breast cancer images using deep convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic muscle perimysium annotation using deep convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Robust automatic breast cancer staging using a combination of functional genomics and image-omics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Automatic Myonuclear Detection in IsolatedSingle Muscle Fibers Using Robust EllipseFitting and Sparse Representation.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning.
IEEE Trans. Biomed. Engineering, 2014

Novel image markers for non-small cell lung cancer classification and survival prediction.
BMC Bioinformatics, 2014

Content-based histopathology image retrieval using CometCloud.
BMC Bioinformatics, 2014

Parallel content-based sub-image retrieval using hierarchical searching.
Bioinformatics, 2014

Robust muscle cell segmentation using region selection with dynamic programming.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Touching adipocyte cells decomposition using combinatorial optimization.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Robust cell segmentation for non-small cell lung cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set.
IEEE Trans. Biomed. Engineering, 2012

Digitized tissue microarray classification using sparse reconstruction.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011


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