Publications
Quantitative Imaging
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Publications of year 2020
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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] [bibtex-entry]
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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.
[bibtex-entry]
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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.
[bibtex-entry]
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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.
[bibtex-entry]
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