Linhao Qu

Orcid: 0000-0001-8815-7050

According to our database1, Linhao Qu authored at least 40 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deep Mutual Learning Among Partially Labeled Datasets for Multi-Organ Segmentation.
IEEE Trans. Medical Imaging, March, 2026

Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology.
CoRR, February, 2026

Enhancing zero-shot brain tumor subtype classification via fine-grained patch-text alignment.
Expert Syst. Appl., 2026

ME-Mamba: Multi-Expert Mamba with efficient knowledge capture and fusion for multimodal survival analysis.
Comput. Medical Imaging Graph., 2026

HUR-MACL: High-uncertainty region-guided multi-architecture collaborative learning for head and neck multi-organ segmentation.
Biomed. Signal Process. Control., 2026

2025
MSCPT: Few-Shot Whole Slide Image Classification With Multi-Scale and Context-Focused Prompt Tuning.
IEEE Trans. Medical Imaging, September, 2025

SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images.
CoRR, September, 2025

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision.
CoRR, April, 2025

FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation.
Neurocomputing, 2025

2024
Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations.
IEEE Trans. Circuits Syst. Video Technol., December, 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

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

POS-BERT: Point cloud one-stage BERT pre-training.
Expert Syst. Appl., 2024

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics.
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

Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 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

Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution.
Proceedings of the 35th British Machine Vision Conference, 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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