Shu-Chao Pang

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2020 — conf
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.
PAKDD (1)
Shu-Chao Pang, Anan Du, Zhenmei Yu, Mehmet A. Orgun
2020 J jnl
Weakly supervised learning for image keypoint matching using graph convolutional networks.
Knowl. Based Syst.
Shu-Chao Pang, Anan Du, Mehmet A. Orgun, Hechang Chen
2019 J jnl
A novel fused convolutional neural network for biomedical image classification.
Medical Biol. Eng. Comput.
Shu-Chao Pang, Anan Du, Mehmet A. Orgun, Zhezhou Yu
2019 — conf
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework.
ICONIP (4)
Shu-Chao Pang, Anan Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun
2018 J jnl
A novel biomedical image indexing and retrieval system via deep preference learning.
Comput. Methods Programs Biomed.
Shu-Chao Pang, Mehmet A. Orgun, Zhezhou Yu
2018 J jnl
Deep Learning and Preference Learning for Object Tracking: A Combined Approach.
Neural Process. Lett.
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2017 J jnl
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Comput. Methods Programs Biomed.
Shu-Chao Pang, Zhezhou Yu, Mehmet A. Orgun
2017 J jnl
Deep learning to frame objects for visual target tracking.
Eng. Appl. Artif. Intell.
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2017 — conf
Leveraging deep preference learning for indexing and retrieval of biomedical images.
NER
Shu-Chao Pang, Mehmet A. Orgun, Anan Du, Zhezhou Yu
2016 — conf
Combining Deep Learning and Preference Learning for Object Tracking.
ICONIP (3)
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2014 J jnl
Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition.
J. Appl. Math.
Zhezhou Yu, Yuhao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia