Honglin Li
Orcid: 0009-0006-8328-7132Affiliations:
- Zhejiang University, College of Computer Science and Technology, China
- Westlake University, School of Engineering, Hangzhou, China
According to our database1,
Honglin Li
authored at least 27 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Neural Networks, 2024
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis.
CoRR, 2024
ADR: Attention Diversification Regularization for Mitigating Overfitting in Multiple Instance Learning based Whole Slide Image Classification.
CoRR, 2024
PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.
CoRR, 2023
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis.
CoRR, 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.
CoRR, 2023
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision.
CoRR, 2023
Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System.
Proceedings of the IEEE International Conference on Acoustics, 2023
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
CoRR, 2021
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021