Shandong Wu
Orcid: 0000-0002-0770-2203
According to our database1,
Shandong Wu
authored at least 57 papers
between 2004 and 2024.
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Bibliography
2024
SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis.
IEEE Trans. Cybern., April, 2024
2023
Medical knowledge-guided deep learning for mammographic breast density classification.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Anterior cruciate ligament classification in knee MRI using automated pseudo-masking.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction.
Pattern Recognit., 2022
Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling.
CoRR, 2022
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables.
Artif. Intell. Medicine, 2022
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation.
Artif. Intell. Medicine, 2022
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection.
IEEE J. Biomed. Health Informatics, 2021
CoRR, 2021
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images.
CoRR, 2021
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.
IEEE J. Biomed. Health Informatics, 2020
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
J. Digit. Imaging, 2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics.
J. Digit. Imaging, 2020
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.
J. Digit. Imaging, 2020
Response score of deep learning for out-of-distribution sample detection of medical images.
J. Biomed. Informatics, 2020
Handling imbalanced medical image data: A deep-learning-based one-class classification approach.
Artif. Intell. Medicine, 2020
Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.
J. Digit. Imaging, 2018
Do pre-trained deep learning models improve computer-aided classification of digital mammograms?
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2015
Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Fully automated chest wall line segmentation in breast MRI by using context information.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Breast Imaging, 2012
2011
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories.
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Pattern Recognit., 2010
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition.
Pattern Recognit., 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
2008
Int. J. Robotics Res., 2008
Signature based task description and perception for motion trajectory priented Robot Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008
Invariant signature description and trajectory reproduction for robot Learning by Demonstration.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007
2004
Proceedings of the Intelligent Information Processing II, 2004
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004