Can Cui
Affiliations:- Vanderbilt University, Nashville, TN, USA
According to our database1,
Can Cui
authored at least 29 papers
between 2021 and 2024.
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Bibliography
2024
CoRR, 2024
2023
IEEE Trans. Biomed. Eng., September, 2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR, 2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.
CoRR, 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR, 2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR, 2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.
CoRR, 2023
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
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.
Proceedings of the Medical Imaging with Deep Learning, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.
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.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
2022
CoRR, 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.
CoRR, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.
CoRR, 2022
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Integrate memory efficiency methods for self-supervised learning on pathological image analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
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.
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.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
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.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
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.
CoRR, 2021