Linhao Qu

Orcid: 0000-0001-8815-7050

According to our database1, Linhao Qu authored at least 21 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation.
Neural Comput. Appl., April, 2024

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis.
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

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

2023
A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation.
IEEE Trans. Medical Imaging, December, 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

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

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

Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Wavelet-based self-supervised learning for multi-scene image fusion.
Neural Comput. Appl., 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

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


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