Publications

Quantitative Imaging


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Publications of year 2020
Articles in journal or book chapters
  1. M. Dai, G. Xiao, S. Cheng, D. Wang, and X. He. Structural Correlation Filters Combined with a Gaussian Particle Filter for Hierarchical Visual Tracking. Neurocomputing, February 2020. [DOI] 
    @article{DAI2020,
title = "Structural Correlation Filters Combined with a Gaussian Particle Filter for Hierarchical Visual Tracking",
journal = "Neurocomputing",
year = "2020",
month = "February",
doi = "https://doi.org/10.1016/j.neucom.2020.02.095",
author = "M. Dai and G. Xiao and S. Cheng and D. Wang and X. He" 
}

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Automated Detection of Pneumoconiosis with Multilevel Deep Features Learned from Chest X-Ray Radiographs. Computers in Biology and Medicine, 2020. 
    @article{devnath-etal20cbm,
author = {L. Devnath and S. Luo and P. Summons and D. Wang},
title = {Automated Detection of Pneumoconiosis with Multilevel Deep Features Learned from Chest {X}-Ray Radiographs},
year = {2020},
month = {},
volume = {},
number = {},
doi = {},
journal = {Computers in Biology and Medicine},
pages = {},
note = {} 
}

  3. T. Gao, J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. Fast corner detection using approximate form of second-order Gaussian directional derivative. IEEE Access, 8:194092--194104, October 2020. [DOI] 
    @article{gao-etal20access,
author = {T. Gao and J. Jing and C. Liu and W. Zhang and Y. Gao and C. Sun},
title = {Fast corner detection using approximate form of second-order {G}aussian directional derivative},
year = {2020},
month = Oct,
volume = {8},
number = {},
journal = {IEEE Access},
pages = {194092--194104},
doi = {http://doi.org/10.1109/ACCESS.2020.3032751} 
}

  4. Q. Jin, Z. Meng, C. Sun, H. Cui, and R. Su. RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. Frontiers in Bioengineering and Biotechnology, 8:605132, December 2020. [DOI] 
    @article{jin-etal20fbb,
author = {Q. Jin and Z. Meng and C. Sun and H. Cui and R. Su},
title = {{RA-UNet}: A hybrid deep attention-aware network to extract liver and tumor in {CT} scans},
year = {2020},
month = Dec,
volume = {8},
number = {},
journal = {Frontiers in Bioengineering and Biotechnology},
pages = {605132},
doi = {https://doi.org/10.3389/fbioe.2020.605132} 
}

  5. Y. Li, Y. Bi, W. Zhang, and C. Sun. Multi-scale Anisotropic Gaussian Kernels for Image Edge Detection. IEEE Access, 8:1803--1812, 2020. [DOI] 
    @article{li-etal20access_edge,
author = {Y. Li and Y. Bi and W. Zhang and C. Sun},
title = {Multi-scale Anisotropic {G}aussian Kernels for Image Edge Detection},
year = {2020},
month = {},
volume = {8},
number = {},
journal = {IEEE Access},
pages = {1803--1812},
doi = {https://doi.org/10.1109/ACCESS.2019.2962520} 
}

  6. D. Li, C. Sun, S. Wei, Y. Yu, and J. Yang. Robust Cell Image Segmentation via Improved Markov Random Field based on a Chinese Restaurant Process Model. Journal of Advanced Computational Intelligent and Intelligent Informatics, 24(7):963--971, December 2020. [DOI] 
    @article{li-etal20jaciii,
author = {D. Li and C. Sun and S. Wei and Y. Yu and J. Yang},
title = {Robust Cell Image Segmentation via Improved {M}arkov Random Field based on a {C}hinese Restaurant Process Model},
year = {2020},
month = Dec,
volume = {24},
number = {7},
journal = {Journal of Advanced Computational Intelligent and Intelligent Informatics},
pages = {963--971},
doi = {https://doi.org/10.20965/jaciii.2020.p0963} 
}

  7. M. Qiao, D. Wang, G. Tuck, L. Little, A. Punt, and M. Gerner. Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing. ICES Journal of Marine Science, 2020. 
    @article{qiao-etal20ices,
author = {M. Qiao and D. Wang and G. Tuck and L. Little and A. Punt and M. Gerner},
title = {Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing},
year = {2020},
month = {},
volume = {},
number = {},
doi = {},
journal = {ICES Journal of Marine Science},
pages = {} 
}

  8. S. Rahman, L. Wang, C. Sun, and L. Zhou. Deep Learning for HEp-2 Image Classification: A Comprehensive Review. Medical Image Analysis, 65:101764, October 2020. [DOI] 
    @article{rahman-etal20mia,
author = {S. Rahman and L. Wang and C. Sun and L. Zhou},
title = {Deep Learning for {HE}p-2 Image Classification: A Comprehensive Review},
year = {2020},
month = Oct,
volume = {65},
number = {},
journal = {Medical Image Analysis},
pages = {101764},
doi = {https://doi.org/10.1016/j.media.2020.101764} 
}

  9. H. Sanicola, C. Stewart, M. Mueller, F. Ahmadic, D. Wang, S. Powell, K. Sarkar, K. Cutbush, M. Woodruff, and D. Brafman. Guidelines for Establishing a 3-D Printing Biofabrication Laboratory. Biotechnology Advances, 2020. 
    @article{qiao-etal20ices,
author = {H. Sanicola and C. Stewart and M. Mueller and F. Ahmadic and D. Wang and S. Powell and K. Sarkar and K. Cutbush and M. Woodruff and D. Brafman},
title = {Guidelines for Establishing a {3-D} Printing Biofabrication Laboratory},
year = {2020},
month = {},
volume = {},
number = {},
doi = {},
journal = {Biotechnology Advances},
pages = {},
note = {} 
}

  10. C. E. Stewart, C. Kan, B. R. Stewart, H. W. 3rd Sanicola, J. P. Jung, O. Sulaiman, and D. Wang. Machine intelligence for nerve conduit design and production. Journal of Biological Engineering, 14:25, 2020. [DOI] 
    @article{stewart-etal20jbe,
author = {Stewart, C. E. and Kan, C. and Stewart, B. R. and Sanicola, H. W. 3rd and Jung, J. P. and Sulaiman, O. and Wang, D.},
title = {Machine intelligence for nerve conduit design and production},
year = {2020},
month = {},
volume = {14},
number = {},
doi = {https://doi.org/10.1186/s13036-020-00245-2},
journal = {Journal of Biological Engineering},
pages = {25} 
}

  11. R. Su, T. Liu, C. Sun, Q. Jin, R. Jennane, and L. Wei. Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing, 385:300--309, April 2020. [DOI] 
    @article{su-etal20neucom,
author = {R. Su and T. Liu and C. Sun and Q. Jin and R. Jennane and L. Wei},
title = {Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses},
year = {2020},
month = {April},
volume = {385},
number = {},
journal = {Neurocomputing},
pages = {300--309},
doi = {https://doi.org/10.1016/j.neucom.2019.12.083} 
}

  12. G. Wang, C. Sun, and A. Sowmya. Learning a compact vein discrimination model with GANerated samples. IEEE Transactions on Information Forensics and Security, 15:635--650, 2020. [DOI] 
    @article{wang-etal20tifs_learn,
author = {G. Wang and C. Sun and A. Sowmya},
title = {Learning a compact vein discrimination model with {GAN}erated samples},
year = {2020},
month = {},
volume = {15},
number = {},
journal = {IEEE Transactions on Information Forensics and Security},
pages = {635--650},
doi = {http://doi.org/10.1109/TIFS.2019.2924553} 
}

  13. G. Wang, C. Sun, and A. Sowmya. Cascaded Attention Guidance Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 29:9190--9203, September 2020. [DOI] 
    @article{wang-etal20tip_cag,
author = {G. Wang and C. Sun and A. Sowmya},
title = {Cascaded Attention Guidance Network for Single Rainy Image Restoration},
year = {2020},
month = Sep,
volume = {29},
number = {},
journal = itip,
pages = {9190--9203},
doi = {http://doi.org/10.1109/TIP.2020.3023773} 
}

  14. G. Wang, C. Sun, and A. Sowmya. Multi-weighted co-occurrence feature encoding for vein recognition. IEEE Transactions on Information Forensics and Security, 15:375--390, 2020. [DOI] 
    @article{wang-etal20tifs_multi,
author = {G. Wang and C. Sun and A. Sowmya},
title = {Multi-weighted co-occurrence feature encoding for vein recognition},
year = {2020},
month = {},
volume = {15},
number = {},
journal = {IEEE Transactions on Information Forensics and Security},
pages = {375--390},
doi = {http://doi.org/10.1109/TIFS.2019.2922331} 
}

  15. M. Wang, W. Zhang, C. Sun, and A. Sowmya. Corner Detection Based on Shearlet Transform and Multi-directional Structure Tensor. Pattern Recognition, 103:107299, July 2020. [DOI] 
    @article{wang-etal20pr,
author = {M. Wang and W. Zhang and C. Sun and A. Sowmya},
title = {Corner Detection Based on Shearlet Transform and Multi-directional Structure Tensor},
year = {2020},
month = Jul,
volume = {103},
number = {},
journal = pr,
pages = {107299},
doi = {https://doi.org/10.1016/j.patcog.2020.107299} 
}

  16. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. Pattern Recognition, 107:107415, November 2020. [DOI] 
    @article{zhang-etal20pr,
author = {M. Zhang and Y. Gao and C. Sun and M. Blumenstein},
title = {A Robust Matching Pursuit Algorithm Using Information Theoretic Learning},
year = {2020},
month = Nov,
volume = {107},
number = {},
journal = pr,
pages = {107415},
doi = {https://doi.org/10.1016/j.patcog.2020.107415} 
}

  17. W. Zhang and C. Sun. Corner detection using multi-directional structure tensor with multiple scales. International Journal of Computer Vision, 128(2):438--459, February 2020. [DOI] 
    @article{zhang-sun20ijcv,
author = {W. Zhang and C. Sun},
title = {Corner detection using multi-directional structure tensor with multiple scales},
year = {2020},
month = Feb,
volume = {128},
number = {2},
journal = {International Journal of Computer Vision},
pages = {438--459},
doi = {http://doi.org/10.1007/s11263-019-01257-2},

}

Conference articles
  1. L. Devnath, S. Luo, P. Summons, and D. Wang. Performance comparison of deep learning models for black lung detection on chest X-ray radiographs. In 3rd International Conference on Software Engineering and Information Management, Sydney, Australia, 2-15 January 2020. 
    @inproceedings{devnath-etal20,
author = {L. Devnath and S. Luo and P. Summons and D. Wang},
title = {Performance comparison of deep learning models for black lung detection on chest {X}-ray radiographs},
year = {2020},
month = {2-15 January},
volume = {},
booktitle = {3rd International Conference on Software Engineering and Information Management},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Sydney, Australia} 
}

  2. T. He, Y. Liu, C. Shen, X. Wang, and C. Sun. Instance-Aware Embedding for Point Cloud Instance Segmentation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12375, Glasgow, United Kingdom, pages 255--270, 23-28 August 2020. Springer. [DOI] 
    @inproceedings{he-etal20eccv,
author = {T. He and Y. Liu and C. Shen and X. Wang and C. Sun},
title = {Instance-Aware Embedding for Point Cloud Instance Segmentation},
year = {2020},
month = {23-28 August},
volume = {12375},
booktitle = {Proceedings of European Conference on Computer Vision (ECCV)},
editor = {},
organization = {},
pages = {255--270},
publisher = {Springer},
address = {Glasgow, United Kingdom},
doi = {https://doi.org/10.1007/978-3-030-58577-8_16} 
}

  3. M. Qiao, J. Yu, T. Liu, X. Wang, and D. Tao. Diversified Bayesian Nonnegative Matrix Factorization. In The Thirty-fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, pages 5420--5427, 7-12 February 2020. 
    @inproceedings{qiao-etal20aaai,
author = {M. Qiao and J. Yu and T. Liu and X. Wang and D. Tao},
title = {Diversified {B}ayesian Nonnegative Matrix Factorization},
year = {2020},
month = {7-12 February},
booktitle = {The Thirty-fourth AAAI Conference on Artificial Intelligence},
pages = {5420--5427},
address = {New York, New York, USA} 
}

  4. S. Rahman, L. Wang, C. Sun, and L. Zhou. ReDro: Efficiently Learning Large-sized SPD Visual Representation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12360, Glasgow, United Kingdom, pages 1--17, 23-28 August 2020. Springer. [DOI] 
    @inproceedings{rahman-etal20eccv,
author = {S. Rahman and L. Wang and C. Sun and L. Zhou},
title = {Re{D}ro: Efficiently Learning Large-sized {SPD} Visual Representation},
year = {2020},
month = {23-28 August},
volume = {12360},
booktitle = {Proceedings of European Conference on Computer Vision (ECCV)},
editor = {},
organization = {},
pages = {1--17},
publisher = {Springer},
address = {Glasgow, United Kingdom},
doi = {https://doi.org/10.1007/978-3-030-58555-6_1} 
}

  5. Z. Shen and C. Nguyen. Temporal 3D RetinaNet for fish detection. In 2020 Digital Image Computing: Techniques and Applications (DICTA), pages 1--5, 2020. IEEE. 
    @inproceedings{shen2020temporal,
title={Temporal 3D RetinaNet for fish detection},
author={Shen, Z. and Nguyen, C.},
booktitle={2020 Digital Image Computing: Techniques and Applications (DICTA)},
pages={1--5},
year={2020},
organization={IEEE} 
}

  6. D. Wang, Y. Arzhaeva, L. Devnath, M. Qiao, S. Amirgholipour, Q. Liao, R. McBean, J. Hillhouse, S. Luo, D. Meredith, K. Newbigin, and D. Yates. Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29 November-2 December 2020. 
    @inproceedings{wang-etal20dicta,
author = {D. Wang and Y. Arzhaeva and L. Devnath and M. Qiao and S. Amirgholipour and Q. Liao and R. McBean and J. Hillhouse and S. Luo and D. Meredith and K. Newbigin and D. Yates},
title = {Automated Pneumoconiosis Detection on Chest {X}-Rays Using Cascaded Learning with Real and Synthetic Radiographs},
year = {2020},
month = {29 November-2 December},
volume = {},
booktitle = {International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Melbourne, Australia} 
}

  7. Z. Wu, T. Zhao, and C. Nguyen. 3D Reconstruction and Object Detection for HoloLens. In 2020 Digital Image Computing: Techniques and Applications (DICTA), pages 1--2, 2020. IEEE. 
    @inproceedings{wu20203d,
title={3D Reconstruction and Object Detection for HoloLens},
author={Wu, Z. and Zhao, T. and Nguyen, C.},
booktitle={2020 Digital Image Computing: Techniques and Applications (DICTA)},
pages={1--2},
year={2020},
organization={IEEE} 
}


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