Shen Zhao
Orcid: 0000-0002-4698-2658
According to our database1,
Shen Zhao
authored at least 59 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Circuits Syst. Video Technol., October, 2024
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks.
IEEE Trans. Cybern., September, 2024
IEEE J. Biomed. Health Informatics, May, 2024
Expert Syst. Appl., 2024
ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification.
Comput. Vis. Image Underst., 2024
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification.
CoRR, 2024
Comput. Medical Imaging Graph., 2024
Customized T-time inner sampling network with uncertainty-aware data augmentation strategy for multi-annotated lesion segmentation.
Comput. Biol. Medicine, 2024
DECIDE: A decoupled semantic and boundary learning network for precise osteosarcoma segmentation by integrating multi-modality MRI.
Comput. Biol. Medicine, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios.
Medical Image Anal., October, 2023
Sequence based local-global information fusion framework for vertebrae detection under pathological and FOV variation challenges.
Comput. Medical Imaging Graph., September, 2023
Correlation-split and Recombination-sort Interaction Networks for air quality forecasting.
Appl. Soft Comput., September, 2023
Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition.
Comput. Biol. Medicine, June, 2023
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.
IEEE J. Biomed. Health Informatics, April, 2023
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China.
Remote. Sens., March, 2023
IEEE Signal Process. Lett., 2023
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model.
CoRR, 2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.
CoRR, 2023
A Mixer Layer is Worth One Graph Convolution: Unifying MLP-Mixers and GCNs for Human Motion Prediction.
CoRR, 2023
Proceedings of the ACM Multimedia Asia 2023, 2023
Proceedings of the ACM Multimedia Asia 2023, 2023
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis.
Medical Image Anal., 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.
CoRR, 2022
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network.
Comput. Medical Imaging Graph., 2022
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Maximizing Unambiguous Velocity Range in Phase-Contrast MRI with Multipoint Encoding.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework.
Medical Image Anal., 2021
Multi-Scenario and Multi-Objective Collaborative Optimization of Distribution Network Considering Electric Vehicles and Mobile Energy Storage Systems.
IEEE Access, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI.
Frontiers Neuroinformatics, 2020
Frontiers Neuroinformatics, 2020
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.
Medical Image Anal., 2019
Opinion Dynamics Model Based on Cognitive Styles: Field-Dependence and Field-Independence.
Complex., 2019
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Communications, Signal Processing, and Systems, 2019
2018
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle.
IEEE J. Biomed. Health Informatics, 2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
Automatical Intima-Media Border Segmentation on Ultrasound Image Sequences Using a Kalman Filter Snake.
IEEE Access, 2018
2017
EURASIP J. Wirel. Commun. Netw., 2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
An active disturbance rejection control solution for the two-mass-spring benchmark problem.
Proceedings of the 2016 American Control Conference, 2016
2013
Fixed-point implementation of active disturbance rejection control for superconducting radio frequency cavities.
Proceedings of the American Control Conference, 2013
2012
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012
2010
An active disturbance rejection based approach to vibration suppression in two-inertia systems.
Proceedings of the American Control Conference, 2010