Shuchao Pang

According to our database, Shuchao Pang authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.

Hongren Zhou, Hechang Chen, Bo Yu, Shuchao Pang, Xianling Cong, Lele Cong

Expert Syst. Appl., March, 2024

UniADS: Universal Architecture-Distiller Search for Distillation Gap.

Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

IEEE Trans. Cybern., November, 2023

Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides.

Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong

Knowl. Based Syst., 2023

A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images.

Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets.

Can Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining.

Anan Du, Shuchao Pang, Mehmet A. Orgun

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings.

Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya

Artif. Intell. Medicine, 2022

Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets.

Hao Wu, Shuchao Pang, Arcot Sowmya

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification.

Jie Liu, Hong Lai, Jinshu Ma, Shuchao Pang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Tumor attention networks: Better feature selection, better tumor segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yunyun Wang, Zhenmei Yu

Neural Networks, 2021

2020

Weakly supervised learning for image keypoint matching using graph convolutional networks.

Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Hechang Chen

Knowl. Based Syst., 2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

CoRR, 2020

Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.

Shu-Chao Pang, AnAn Du, Zhenmei Yu, Mehmet A. Orgun

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies.

Zhenmei Yu, Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Hong Lin

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation.

Anan Du, Shuchao Pang, Xiaoshui Huang, Jian Zhang, Qiang Wu

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

A novel fused convolutional neural network for biomedical image classification.

Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Zhezhou Yu

Medical Biol. Eng. Comput., 2019

Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework.

Shu-Chao Pang, AnAn Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Deep Learning and Preference Learning for Object Tracking: A Combined Approach.

Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez

Neural Process. Lett., 2018

A novel biomedical image indexing and retrieval system via deep preference learning.

Shu-Chao Pang, Mehmet A. Orgun, Zhezhou Yu

Comput. Methods Programs Biomed., 2018

2017

Deep learning to frame objects for visual target tracking.

Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez

Eng. Appl. Artif. Intell., 2017

A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

Shu-Chao Pang, Zhezhou Yu, Mehmet A. Orgun

Comput. Methods Programs Biomed., 2017

Leveraging deep preference learning for indexing and retrieval of biomedical images.

Shu-Chao Pang, Mehmet A. Orgun, AnAn Du, Zhezhou Yu

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016

Combining Deep Learning and Preference Learning for Object Tracking.

Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014

Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition.

Zhezhou Yu, Yuhao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia

J. Appl. Math., 2014

Universalization of narrow methods: Case study on autoencoders.

Alexey Potapov, Vita Batishcheva, Shuchao Pang

Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014