Sunyi Zheng

Orcid: 0000-0002-9005-4875

According to our database1, Sunyi Zheng authored at least 31 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Masked Conditional Variational Autoencoders for Chromosome Straightening.
IEEE Trans. Medical Imaging, January, 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

Benchmarking PathCLIP for Pathology Image Analysis.
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

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering.
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

Test-Time Training for Semantic Segmentation with Output Contrastive Loss.
CoRR, 2023

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

Semi-supervised Cell Recognition under Point Supervision.
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

Exploring Unsupervised Cell Recognition with Prior Self-activation Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images.
CoRR, 2022

ChrSNet: Chromosome Straightening Using Self-attention Guided Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

End-to-End Cell Recognition by Point Annotation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
IEEE Trans. Medical Imaging, 2020

Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification.
CoRR, 2020

Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.
Comput. Methods Programs Biomed., 2020


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