Can Cui

According to our database, Can Cui authored at least 41 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-scale multi-instance learning for pathological image diagnosis.

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

Medical Image Anal., 2024

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.

Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, 2024

Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation.

Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2024

Dataset Distillation in Medical Imaging: A Feasibility Study.

Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo

CoRR, 2024

PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models.

Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo

CoRR, 2024

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.

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

CoRR, 2024

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization.

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

CoRR, 2024

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.

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

CoRR, 2024

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis.

Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo

CoRR, 2024

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation.

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

CoRR, 2024

Nucleus subtype classification using inter-modality learning.

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

CoRR, 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.

Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

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

IEEE Trans. Biomed. Eng., September, 2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.

Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

CoRR, 2023

Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.

Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo

CoRR, 2023

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.

Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo

CoRR, 2023

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.

Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo

CoRR, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.

Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo

CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.

Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

CoRR, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

CoRR, 2023

Deep constrained spherical deconvolution for robust harmonization.

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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.

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

Proceedings of the Medical Imaging with Deep Learning, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.

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

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation.

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

CoRR, 2022

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.

Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

CoRR, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

CoRR, 2022

Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.

Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.

Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.

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

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.

Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

CoRR, 2021

Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation.

Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant

CoRR, 2021

Brain vessel segmentation in contrast-enhanced T1-weighted MR Images for deep brain stimulation of the anterior thalamus using a deep convolutional neural network.

Can Cui, Han Liu, Dario J. Englot, Benoit M. Dawant

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion.

Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation.

Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020