Jie Song
Orcid: 0000-0003-4111-2570Affiliations:
- Nanjing University of Posts and Telecommunications, Department of Artificial Intelligence, Jiangsu, China
- Nanjing University of Science and Technolog, Departmnet of Computer Science and Engineering, Jiangsu, C (PhD 2019)
- University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA (PhD 2017)
According to our database1,
Jie Song
authored at least 16 papers
between 2017 and 2025.
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Bibliography
2025
A boundary evidence controlled level set inference method for nuclei instance segmentation in histopathology images.
Multim. Tools Appl., August, 2025
IEEE Trans. Geosci. Remote. Sens., 2025
Segmentation of 3D neuronal morphologies in microscopy images utilizing flexible open-curve snakes.
Neurocomputing, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Multim. Tools Appl., January, 2024
CoRR, 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2021
Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images.
IEEE Trans. Image Process., 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
2020
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images.
CoRR, 2020
2019
Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images.
Knowl. Based Syst., 2019
Supervised Hyperspectral Image Classification Via Sparse Separable Convolutional Feature Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.
IEEE Trans. Image Process., 2018
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
2017
Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei.
IEEE J. Biomed. Health Informatics, 2017