研究論文

トップクラスのジャーナルおよび学会で発表されたチームの査読付き研究

注目の研究

注目の論文

トップ学会でのチームによるインパクトの高い研究

Nature Mach. Intell. 2019

Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning

Zhang, Z., Chen, P., McGough, M., ..., Cui, L., ..., Yang, L.

Nature MI論文を読む

CVPR 2023 CCF-A 75 cited

Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology WSI Classification

Li, H., Zhu, C., Zhang, Y., Sun, Y., Shui, Z., Kuang, W., Zheng, S., Yang, L.

CVPR 2023論文を読む

TMI 2025 IF 11.3

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis with Cellular-Level Control

Li, J., Zhu, C., Zheng, S., Chen, P., Sun, Y., Li, H., Yang, L.

IEEE TMI論文を読む

トピック別論文

病理AIプラットフォームを形づくる中核テーマごとに、査読付き研究を整理してご覧いただけます。

基盤モデル

パッチ、レポート、全スライド理解を横断して統合する、大規模マルチモーダル/生成型の病理基盤モデル。

TMI

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis with Cellular-Level Control

Li, J., Zhu, C., Zheng, S., Chen, P., Sun, Y., Li, H., Yang, L. · IEEE Trans. Medical Imaging (IF 11.3) · 2025

CVPR

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology

Sun, Y., Si, Y., Zhu, C., Gong, X., Zhang, K., Chen, P., Zhang, Y., Shui, Z., Lin, T., Yang, L. · CVPR 2025 (CCF-A) · 2025

ICLR

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration

Sun, Y., Zhang, Y., Si, Y., Zhu, C., Zhang, K., Shui, Z., Li, J., Gong, X., Lyu, X., Lin, T., Yang, L. · ICLR 2025 (Oral) · 2025

AAAI

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology

Sun, Y., Zhu, C., Zheng, S., Zhang, K., Sun, L., Shui, Z., Zhang, Y., Li, H., Yang, L. · AAAI 2024 (CCF-A, Oral) · 59 cited · 2024

ECCV

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

Chen, P., Zhu, C., Zheng, S., Li, H., Yang, L. · ECCV 2024 (CCF-A) · 9 cited · 2024

ACM MM

PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model

Li, J., Zheng, S., Zhu, C., Sun, Y., Chen, P., Shui, Z., Zhang, Y., Li, H., Yang, L. · ACM MM 2024 (CCF-A, Oral) · 2024

MICCAI

WSICaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Chen, P., Li, H., Zhu, C., Zheng, S., Shui, Z., Yang, L. · MICCAI 2024 (CCF-B, Oral) · 12 cited · 2024

応用研究

検出、分類、合成、セグメンテーション、意思決定支援を含むタスク別手法と臨床共同研究。

Allergy

Artificial Intelligence-Based Pathological Subtype Diagnosis of Nasal Polyps: A Multidimensional and Micro-Visualization Study

Clinical Focus Nasal Polyp

Luo, X., Li, H., Chen, J., Zhou, Z., Zhou, L., Luo, R., ..., Cui, L., Yang, L., Yang, Q. · Allergy · 2026

ICASSP

Stable Test-Time Training for Semantic Segmentation with Output Contrastive Loss

Zhang, Y., Shui, Z., Li, H., Sun, Y., Zhu, C., Yang, L. · ICASSP 2025 (CCF-B) · 2025

Cancer Cell

Spatial determinants of antibody-drug conjugate SHR-A1811 efficacy in neoadjuvant treatment for HER2-positive breast cancer

Clinical Focus HER2 Neoadjuvant

Ma, D., Dai, L.-J., Wu, X.-R., Liu, C.-L., Zhao, S., Zhang, H., Chen, L., Xiao, Y., Li, M., Zhao, Y.-Z., ... · Cancer Cell · 2025

ECCV

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

Zhang, Y., Li, H., Sun, Y., Zheng, S., Zhu, C., Yang, L. · ECCV 2024 (CCF-A) · 27 cited · 2024

ECCV

Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation

Shui, Z., Zhang, Y., Yao, K., Zhu, C., Zheng, S., Li, J., Li, H., Sun, Y., Guo, R., Yang, L. · ECCV 2024 (CCF-A) · 6 cited · 2024

NeurIPS

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis

Li, H., Zhang, Y., Chen, P., Shui, Z., Zhu, C., Yang, L. · NeurIPS 2024 (CCF-A) · 2 cited · 2024

AAAI

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

Shui, Z., Zheng, S., Zhu, C., Zhang, S., Yu, X., Li, H., Li, J., Chen, P., Yang, L. · AAAI 2024 (CCF-A) · 4 cited · 2024

Neural Net.

Gradient-Aware Learning for Joint Biases: Label Noise and Class Imbalance

Zhang, S., Zhu, C., Li, H., Cai, J., Yang, L. · Neural Networks (Q1, IF 7.9) · 5 cited · 2024

CSBJ

Performance of a HER2 Testing Algorithm Tailored for Urothelial Bladder Cancer: A Bi-centre Study

Clinical Focus HER2 IHC

Huang, A., Zhao, Y., Guan, F., Zhang, H., ... · Computational and Structural Biotechnology Journal (Q1, IF 5.1) · 2024

ICME

Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting

Clinical Focus TCT Cervical Cytology

Sun, Y., Zhu, C., Zheng, S., Zhang, Y., Li, H., Yang, L. · ICME 2024 (CCF-B) · 1 cited · 2024

ICASSP

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification

Zhang, S., Zheng, S., Shui, Z., Yang, L. · ICASSP 2024 (CCF-B) · 5 cited · 2024

BIBM

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis

Zhang, S., Zheng, S., Shui, Z., Li, H., Yang, L. · BIBM 2024 (CCF-B) · 5 cited · 2024

CVPR

Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology WSI Classification

Li, H., Zhu, C., Zhang, Y., Sun, Y., Shui, Z., Kuang, W., Zheng, S., Yang, L. · CVPR 2023 (CCF-A) · 75 cited · 2023

MICCAI

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision

Clinical Focus IHC Membrane Segmentation

Li, H., Xu, Z., Zhou, M., Shi, X., Kang, Y., Bu, Q., Lv, H., Li, M., Lin, M., Cui, L., Feng, J., Yang, W., Yang, L. · MICCAI 2023 (CCF-B) · 2023

TMI

Masked Conditional Variational Autoencoders for Chromosome Straightening

Li, J., Zheng, S., Shui, Z., Zhang, S., Yang, L., Sun, Y., Zhang, Y., Li, H., ... · IEEE Trans. Medical Imaging (IF 11.3) · 3 cited · 2023

MICCAI

Exploring Unsupervised Cell Recognition with Prior Self-Activation Maps

Chen, P., Zhu, C., Shui, Z., Cai, J., Zheng, S., Zhang, S., Yang, L. · MICCAI 2023 (CCF-B) · 7 cited · 2023

MICCAI

End-to-End Cell Recognition by Point Annotation

Shui, Z., Zhang, S., Zhu, C., Wang, B., Chen, P., Zheng, S., Yang, L. · MICCAI 2022 (CCF-B) · 12 cited · 2022

MICCAI

ChrsNet: Chromosome Straightening Using Self-Attention Guided Networks

Zheng, S., Li, J., Shui, Z., Zhu, C., Zhang, Y., Chen, P., Yang, L. · MICCAI 2022 (CCF-B) · 5 cited · 2022

ISBI

Weakly Supervised Learning for Cell Recognition in Immunohistochemical Cytoplasm Staining Images

Clinical Focus IHC

Zhang, S., Zhu, C., Li, H., Cai, J., Yang, L. · ISBI 2022 · 7 cited · 2022

ISBI

Category Separation For Weakly Supervised Multi-Class Cell Counting

Cai, J., Zhu, C., Chen, P., Zhang, S., Li, H., Sun, Y., Yang, L. · ISBI 2022 · 2 cited · 2022

ISBI

Weakly Supervised Classification Using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image

Clinical Focus TCT

Zhu, C., Sun, Y., Li, H., Cui, C., Zhang, S., Cai, J., Ling, Y. · ISBI 2022 · 1 cited · 2022

MICCAI

Generalizing Nucleus Recognition Model in Multi-Source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning

Clinical Focus IHC Ki67

Cai, J., Zhu, C., Cui, C., Li, H., Wu, T., Zhang, S., Yang, L. · MICCAI 2021 (CCF-B) · 9 cited · 2021

J. Transl. Med.

Automated Tumor Proportion Scoring for PD-L1 Expression Based on Multistage Ensemble Strategy in NSCLC

Clinical Focus PD-L1 IHC

Pan, B., Kang, Y., Jin, Y., Yang, L., Zheng, Y., Cui, L., Sun, J., Feng, J., Li, Y., Guo, L., Liang, Z. · J. Translational Medicine · 2021

AI Med.

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning

Clinical Focus Frozen Section Thyroid

Li, Y., Chen, P., Li, Z., Su, H., Yang, L., Zhong, D. · Artificial Intelligence in Medicine · 2020

Nature Mach. Intell.

Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning

Zhang, Z., Chen, P., McGough, M., ..., Cui, L., ..., Yang, L. · Nature Machine Intelligence · 2019

ベンチマーク

パッチレベルと全スライドレベルの両方で病理AI性能を測定する評価基盤とロバストネス研究。

TMI

PathBench: Advancing the Benchmark of Large Multimodal Models for Pathology Image Understanding at Patch and Whole Slide Level

Sun, Y., Wu, H., Zhu, C., Si, Y., Chen, Q., Zhang, Y., Zhang, K., Li, J., Cai, J., Wang, Y., ... · IEEE Trans. Medical Imaging (IF 11.3) · 2025

ECCV

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

Sun, Y., Wu, H., Zhu, C., Zheng, S., Chen, Q., Zhang, K., Zhang, Y., Wan, D., Lan, X., ... · ECCV 2024 (CCF-A, Oral) · 7 cited · 2024

JIIM

Benchmarking PathCLIP for Pathology Image Analysis

Zheng, S., Cui, X., Sun, Y., Li, J., Li, H., Zhang, Y., Chen, P., Jing, X., Ye, Z., Yang, L. · J. Imaging Informatics in Medicine · 7 cited · 2024

ICASSP

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System

Sun, Y., Zhu, C., Zhang, Y., Li, H., Chen, P., Yang, L. · ICASSP 2023 (CCF-B) · 3 cited · 2023

MICCAI

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Zhang, Y., Sun, Y., Li, H., Zheng, S., Zhu, C., Yang, L. · MICCAI 2022 (CCF-B) · 33 cited · 2022

研究インパクト

研究実績

論文

査読付き

被引用数

Google Scholar（CEO）

H指数

CEOの研究インパクト

掲載誌・学会

トップクラスのジャーナル・学会

掲載先

Nature Machine Intelligence

CVPR / ECCV / NeurIPS

AAAI / ACM MM

MICCAI

IEEE TMI / TNNLS

Neural Networks

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