Can Cui

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Learning Models

Exponential Decay

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Medical Image Anal.

Publications

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR (2024)
Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models. CoRR (2024)
Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. CoRR (2024)
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CoRR (2024)
Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR (2024)
Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
Nucleus subtype classification using inter-modality learning. CoRR (2024)
Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. CoRR (2024)
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 94 (2024)
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. CoRR (2024)
Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo
Dataset Distillation in Medical Imaging: A Feasibility Study. CoRR (2024)
Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI (2023)
Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. MICCAI (6) (2023)
Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo
Deep constrained spherical deconvolution for robust harmonization. Medical Imaging: Image Processing (2023)
Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL (2023)
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. 70 (9) (2023)
Can Cui, Samuel R. Johnson, Cullen P. Moran, Katherine S. Hajdu, Joanna Shechtel, John J. Block, Brian Bingham, David Smith, Leo Y. Luo, Hakmook Kang, Jennifer L. Halpern, Herbert S. Schwartz, Ginger E. Holt, Joshua M. Lawrenz, Benoit M. Dawant
Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models. Medical Imaging: Computer-Aided Diagnosis (2022)
Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Medical Imaging: Image Processing (2022)
Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Medical Imaging: Computer-Aided Diagnosis (2022)