Jie Song

Orcid: 0000-0003-4111-2570

Affiliations:
  • 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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Timeline

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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

DUSA-UNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction.
IEEE Trans. Geosci. Remote. Sens., 2025

Segmentation of 3D neuronal morphologies in microscopy images utilizing flexible open-curve snakes.
Neurocomputing, 2025

Enhancing Federated Domain Adaptation via Multi-Granular Fine-Grained Alignment.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Local weight coupled network: multi-modal unequal semi-supervised domain adaptation.
Multim. Tools Appl., January, 2024

URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction.
CoRR, 2024

2023
Deep Open-Curve Snake for Discriminative 3D Neuron Tracking.
IEEE J. Biomed. Health Informatics, December, 2023

Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation.
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

Dual Contrastive Universal Adaptation Network.
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

Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome.
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


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