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Shuchao Pang
Shuchao Pang
University of New South Wales
Verified email at students.mq.edu.au
Title
Cited by
Cited by
Year
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images
S Pang, Z Yu, MA Orgun
Computer methods and programs in biomedicine 140, 283-293, 2017
692017
A novel fused convolutional neural network for biomedical image classification
S Pang, A Du, MA Orgun, Z Yu
Medical & biological engineering & computing 57 (1), 107-121, 2019
592019
Deep learning to frame objects for visual target tracking
S Pang, JJ del Coz, Z Yu, O Luaces, J Díez
Engineering Applications of Artificial Intelligence 65, 406-420, 2017
362017
A novel biomedical image indexing and retrieval system via deep preference learning
S Pang, MA Orgun, Z Yu
Computer methods and programs in biomedicine 158, 53-69, 2018
292018
CTumorGAN: a unified framework for automatic computed tomography tumor segmentation
S Pang, A Du, MA Orgun, Z Yu, Y Wang, Y Wang, G Liu
European journal of nuclear medicine and molecular imaging 47 (10), 2248-2268, 2020
252020
Incremental graph regulated nonnegative matrix factorization for face recognition
ZZ Yu, YH Liu, B Li, SC Pang, CC Jia
Journal of Applied Mathematics 2014, 2014
142014
Fast and accurate lung tumor spotting and segmentation for boundary delineation on CT slices in a coarse-to-fine framework
S Pang, A Du, X He, J Díez, MA Orgun
International Conference on Neural Information Processing, 589-597, 2019
112019
Deep learning and preference learning for object tracking: a combined approach
S Pang, JJ Del Coz, Z Yu, O Luaces, J Díez
Neural Processing Letters 47 (3), 859-876, 2018
102018
Tumor attention networks: Better feature selection, better tumor segmentation
S Pang, A Du, MA Orgun, Y Wang, Z Yu
Neural Networks 140, 203-222, 2021
72021
Combining deep learning and preference learning for object tracking
S Pang, JJ Coz, Z Yu, O Luaces, J Díez
International Conference on Neural Information Processing, 70-77, 2016
72016
Face recognition: a novel deep learning approach
SC Pang, ZZ Yu
Journal of Optical Technology 82 (4), 237-245, 2015
62015
Correlation matters: multi-scale fine-grained contextual information extraction for hepatic tumor segmentation
S Pang, A Du, Z Yu, MA Orgun
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 462-474, 2020
52020
Weakly supervised learning for image keypoint matching using graph convolutional networks
S Pang, A Du, MA Orgun, H Chen
Knowledge-Based Systems 197, 105871, 2020
42020
Global and local information based spherical marginal fisher analysis for face recognition
R Liu, C Jia, E Pang, M Qu, S Pang, Z Yu
Journal of Information and Computational Science 10 (4), 1025-1034, 2013
42013
Exploring long-short-term context for point cloud semantic segmentation
A Du, S Pang, X Huang, J Zhang, Q Wu
2020 IEEE International Conference on Image Processing (ICIP), 2755-2759, 2020
32020
Robust multi-object tracking using deep learning framework
SC Pang, A Du, ZZ Yu
Journal of Optical Technology 82 (8), 516-527, 2015
32015
A new construction method of neighbor graph for locality preserving projections
H Zheng, J Liu, C Wu, S Pang, E Pang, C Jia, Z Yu
JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 10 (5), 1357-1365, 2013
32013
Leveraging deep preference learning for indexing and retrieval of biomedical images
S Pang, MA Orgun, A Du, Z Yu
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 126-129, 2017
22017
2D medical image segmentation via learning multi-scale contextual dependencies
S Pang, A Du, Z Yu, MA Orgun
Methods 202, 40-53, 2022
12022
Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets
H Wu, S Pang, A Sowmya
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
12022
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