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2020 – today
- 2024
[j5]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: 103124 (2024)- [c30]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. CVPR 2024: 11736-11746 - [c29]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:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5 - [c28]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. MICCAI (4) 2024: 155-166 - [i52]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 abs/2401.05602 (2024) - [i51]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 abs/2402.19286 (2024) - [i50]Juming Xiong, Ethan H. Nguyen, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernán Correa, Girish Hiremath, Yaohong Wang, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Instance Object Segmentation. CoRR abs/2403.11507 (2024) - [i49]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 abs/2405.17824 (2024) - [i48]Jialin Yue, Tianyuan Yao, Ruining Deng, Quan Liu, Juming Xiong, Haichun Yang, Yuankai Huo:
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results. CoRR abs/2406.19540 (2024) - [i47]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 abs/2407.00596 (2024) - [i46]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 abs/2407.03307 (2024) - [i45]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 abs/2407.06116 (2024) - [i44]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 abs/2407.09979 (2024) - [i43]Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo:
Dataset Distillation in Medical Imaging: A Feasibility Study. CoRR abs/2407.14429 (2024) - [i42]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 abs/2407.18390 (2024) - [i41]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:
Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology. CoRR abs/2408.06381 (2024) - [i40]Junchao Zhu, Mengmeng Yin, Ruining Deng, Yitian Long, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology. CoRR abs/2408.09278 (2024) - [i39]Muyang Li, Juming Xiong, Ruining Deng, Tianyuan Yao, Regina N. Tyree, Girish Hiremath, Yuankai Huo:
Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching. CoRR abs/2410.01148 (2024) - [i38]Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. CoRR abs/2411.00078 (2024) - 2023
- [j4]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): 2636-2644 (2023) - [c27]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: 82-92 - [c26]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: 497-507 - [c25]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: 1406-1422 - [c24]Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. Digital and Computational Pathology 2023 - [c23]Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo:
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. Digital and Computational Pathology 2023 - [c22]Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo:
An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level. Digital and Computational Pathology 2023 - [c21]Peize Li, Ruining Deng, Yuankai Huo:
An end-to-end pipeline for 3D slide-wise multi-stain renal pathology registration. Digital and Computational Pathology 2023 - [c20]Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. Digital and Computational Pathology 2023 - [c19]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. Image Processing 2023 - [i37]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. CoRR abs/2304.00216 (2023) - [i36]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:
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i35]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:
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR abs/2304.12149 (2023) - [i34]Peize Li, Ruining Deng, Yuankai Huo:
An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration. CoRR abs/2305.11968 (2023) - [i33]Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo:
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level. CoRR abs/2305.14566 (2023) - [i32]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:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR abs/2306.00047 (2023) - [i31]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:
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. CoRR abs/2306.02900 (2023) - [i30]Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR abs/2307.00290 (2023) - [i29]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. CoRR abs/2307.00750 (2023) - [i28]Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, Yuankai Huo:
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology. CoRR abs/2308.05782 (2023) - [i27]Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo:
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR abs/2308.05784 (2023) - [i26]Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, Yuankai Huo:
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning. CoRR abs/2308.05785 (2023) - [i25]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:
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology. CoRR abs/2308.06288 (2023) - [i24]Juming Xiong, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernán Correa, Girish Hiremath, Yaohong Wang, Yuankai Huo:
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis. CoRR abs/2308.06333 (2023) - [i23]Yilin Liu, Ruining Deng, Juming Xiong, Regina N. Tyree, Hernán Correa, Girish Hiremath, Yaohong Wang, Yuankai Huo:
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation. CoRR abs/2308.08974 (2023) - [i22]Ruining Deng, Nazim N. Shaikh, Gareth Shannon, Yao Nie:
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction. CoRR abs/2308.09831 (2023) - [i21]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:
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR abs/2308.10166 (2023) - [i20]Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris U. Oguz, Nadav Schwartz, Brett C. Byram, Ipek Oguz:
False Negative/Positive Control for SAM on Noisy Medical Images. CoRR abs/2308.10382 (2023) - [i19]Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. CoRR abs/2309.02563 (2023) - 2022
- [j3]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. IEEE Trans. Medical Imaging 41(3): 746-754 (2022) - [c18]Yuzhe Lu, Aadarsh Jha, Ruining Deng, Yuankai Huo:
Contrastive learning meets transfer learning: a case study in medical image analysis. Computer-Aided Diagnosis 2022 - [c17]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 Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 2022: 24-33 - [c16]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:
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 2022: 42-52 - [c15]Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo:
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. REMIA@MICCAI 2022: 75-84 - [c14]Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
CircleSnake: Instance Segmentation with Circle Representation. MLMI@MICCAI 2022: 298-306 - [c13]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) 2022: 626-635 - [c12]Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. MIDL 2022: 304-314 - [c11]Ruining Deng, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Shiru Wang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo:
Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images. Digital and Computational Pathology 2022 - [c10]Tianyuan Yao, Yuzhe Lu, Ruining Deng, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo:
Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. Digital and Computational Pathology 2022 - [c9]Cam Nguyen, Zuhayr Asad, Ruining Deng, Yuankai Huo:
Evaluating transformer-based semantic segmentation networks for pathological image segmentation. Image Processing 2022 - [c8]Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo:
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. MIUA 2022: 778-786 - [i18]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. CoRR abs/2203.04419 (2022) - [i17]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 Pathological Image Segmentation. CoRR abs/2206.13632 (2022) - [i16]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 Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR abs/2208.07322 (2022) - [i15]Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR abs/2208.14357 (2022) - [i14]Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
CircleSnake: Instance Segmentation with Circle Representation. CoRR abs/2211.01254 (2022) - 2021
- [j2]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Comput. Biol. Medicine 134: 104501 (2021) - [j1]Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo:
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. IEEE Trans. Medical Imaging 40(7): 1924-1933 (2021) - [c7]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI 2021: 93-102 - [c6]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 2021: 102-112 - [c5]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI 2021: 173-183 - [c4]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. MLMI@MICCAI 2021: 437-446 - [c3]Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation. Image Processing 2021 - [i13]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. CoRR abs/2101.00567 (2021) - [i12]Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation. CoRR abs/2101.07654 (2021) - [i11]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR abs/2103.05585 (2021) - [i10]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. CoRR abs/2106.11480 (2021) - [i9]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. CoRR abs/2107.08650 (2021) - [i8]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. CoRR abs/2110.12093 (2021) - [i7]Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. CoRR abs/2112.12665 (2021) - 2020
- [c2]Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. MICCAI (4) 2020: 35-44 - [c1]Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 214-222 - [i6]Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-free Detection with Circle Representation. CoRR abs/2006.02474 (2020) - [i5]Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo:
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images. CoRR abs/2006.06038 (2020) - [i4]Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo:
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment. CoRR abs/2007.03593 (2020) - [i3]Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology. CoRR abs/2007.13952 (2020) - [i2]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR abs/2011.00794 (2020) - [i1]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. CoRR abs/2011.01009 (2020)
Coauthor Index
[j5] [c30] [c29] [c28] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [j4] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [i19] [j3] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i18] [i17] [i16] [i15] [i14] [j2] [j1] [c7] [c6] [c5] [c4] [c3] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c2] [c1] [i6] [i5] [i4] [i3] [i2] [i1]
Lucas W. Remedios
aka: Lucas Walker Remedios
aka: Lucas Walker Remedios
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