Ruining Deng
Orcid: 0000-0001-6300-8518
According to our database1,
Ruining Deng
authored at least 71 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Medical Image Anal., 2024
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment.
CoRR, 2024
Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching.
CoRR, 2024
CoRR, 2024
CoRR, 2024
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models.
CoRR, 2024
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.
CoRR, 2024
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization.
CoRR, 2024
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results.
CoRR, 2024
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis.
CoRR, 2024
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Biomed. Eng., September, 2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.
CoRR, 2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR, 2023
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction.
CoRR, 2023
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation.
CoRR, 2023
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis.
CoRR, 2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.
CoRR, 2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.
CoRR, 2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.
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
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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
IEEE Trans. Medical Imaging, 2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
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
Evaluating transformer-based semantic segmentation networks for pathological image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Self-supervised learning with large-scale web image mining for characterizing glomerular lesions.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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
Contrastive learning meets transfer learning: a case study in medical image analysis.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
IEEE Trans. Medical Imaging, 2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.
CoRR, 2021
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations.
CoRR, 2021
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.
Comput. Biol. Medicine, 2021
Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
2020
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.
CoRR, 2020
CoRR, 2020
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020