Ruining Deng

Orcid: 0000-0001-6300-8518

According to our database1, Ruining Deng authored at least 71 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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5
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15
20
25
14
16
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5
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross-scale multi-instance learning for pathological image diagnosis.
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

Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology.
CoRR, 2024

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.
CoRR, 2024

Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation.
CoRR, 2024

Dataset Distillation in Medical Imaging: A Feasibility Study.
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

Circle Representation for Medical Instance Object Segmentation.
CoRR, 2024

Nucleus subtype classification using inter-modality learning.
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

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.
IEEE Trans. Biomed. Eng., September, 2023

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.
CoRR, 2023

False Negative/Positive Control for SAM on Noisy Medical Images.
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

Exploring shared memory architectures for end-to-end gigapixel deep learning.
CoRR, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023

Deep constrained spherical deconvolution for robust harmonization.
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

An end-to-end pipeline for 3D slide-wise multi-stain renal pathology registration.
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
Circle Representation for Medical Object Detection.
IEEE Trans. Medical Imaging, 2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022

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

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

CircleSnake: Instance Segmentation with Circle Representation.
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
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images.
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

Compound Figure Separation of Biomedical Images with Side Loss.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU.
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

Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment.
CoRR, 2020

CircleNet: Anchor-free Detection with Circle Representation.
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

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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