Shuchao Pang
Orcid: 0000-0002-5668-833X
According to our database1,
Shuchao Pang
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.
Expert Syst. Appl., March, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Cybern., November, 2023
Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides.
Knowl. Based Syst., 2023
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
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.
Artif. Intell. Medicine, 2022
Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Neural Networks, 2021
2020
Weakly supervised learning for image keypoint matching using graph convolutional networks.
Knowl. Based Syst., 2020
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.
CoRR, 2020
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.
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.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
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.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Neural Process. Lett., 2018
Comput. Methods Programs Biomed., 2018
2017
Eng. Appl. Artif. Intell., 2017
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Comput. Methods Programs Biomed., 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2014
J. Appl. Math., 2014
Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014