Zhijian Song
Orcid: 0000-0001-9873-216X
According to our database1,
Zhijian Song
authored at least 70 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need.
IEEE Trans. Circuits Syst. Video Technol., October, 2024
Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation.
Neural Comput. Appl., April, 2024
IEEE J. Biomed. Health Informatics, February, 2024
Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks.
Expert Syst. Appl., February, 2024
Medical Image Anal., 2024
CoRR, 2024
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation.
CoRR, 2024
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation.
CoRR, 2024
Towards Arbitrary-Scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework via Implicit Self-texture Enhancement.
CoRR, 2024
Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework.
Biomed. Signal Process. Control., 2024
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation.
IEEE Trans. Medical Imaging, December, 2023
A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation.
Frontiers Comput. Sci., December, 2023
Eng. Appl. Artif. Intell., November, 2023
AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains.
Expert Syst. Appl., August, 2023
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.
Inf. Fusion, April, 2023
A comprehensive survey on deep active learning and its applications in medical image analysis.
CoRR, 2023
Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models.
CoRR, 2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need.
CoRR, 2023
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement.
CoRR, 2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation.
CoRR, 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation.
CoRR, 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.
IEEE Trans. Neural Networks Learn. Syst., 2022
Remote. Sens., 2022
Neural Comput. Appl., 2022
Knowl. Based Syst., 2022
One-shot active learning for image segmentation via contrastive learning and diversity-based sampling.
Knowl. Based Syst., 2022
Int. J. Comput. Vis., 2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset).
CoRR, 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis.
CoRR, 2022
TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning.
CoRR, 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic.
Pattern Recognit., 2021
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Signal Process. Image Commun., 2020
Segmentation of Gliomas Based on a Double-Pathway Residual Convolution Neural Network Using Multi-Modality Information.
J. Medical Imaging Health Informatics, 2020
CoRR, 2020
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling.
CoRR, 2020
2019
IEEE Trans. Image Process., 2019
Remote. Sens., 2019
Image synthesis-based multi-modal image registration framework by using deep fully convolutional networks.
Medical Biol. Eng. Comput., 2019
J. Medical Imaging Health Informatics, 2019
Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy.
Int. J. Comput. Assist. Radiol. Surg., 2019
Organ at Risk Segmentation in Head and Neck CT Images Using a Two-Stage Segmentation Framework Based on 3D U-Net.
IEEE Access, 2019
An Augmentation Strategy for Medical Image Processing Based on Statistical Shape Model and 3D Thin Plate Spline for Deep Learning.
IEEE Access, 2019
2018
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition.
CoRR, 2018
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net.
CoRR, 2018
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search.
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017
2016
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.
Int. J. Comput. Assist. Radiol. Surg., 2016
2014
A framework for correcting brain retraction based on an eXtended Finite Element Method using a laser range scanner.
Int. J. Comput. Assist. Radiol. Surg., 2014
2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
2011
A Brain-Deformation Framework Based on a Linear Elastic Model and Evaluation Using Clinical Data.
IEEE Trans. Biomed. Eng., 2011
Deformable Registration for Geometric Distortion Correction of Diffusion Tensor Imaging.
Proceedings of the Computer Analysis of Images and Patterns, 2011
2009
Automatic localization of the center of fiducial markers in 3D CT/MRI images for image-guided neurosurgery.
Pattern Recognit. Lett., 2009
2008
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2002
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002