Hansheng Li
Orcid: 0009-0003-4533-1129
According to our database1,
Hansheng Li
authored at least 20 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Pavement Crack Classification and Recognition Algorithm Combined With Tensor Voting and RANSAC.
IEEE Access, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.
CoRR, 2022
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation.
BMC Bioinform., 2020
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Diagnostic Classification of Pulmonary Nodules Using a Multi-scale and Multi-input DenseNet.
Proceedings of the Image and Graphics Technologies and Applications, 2019
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019