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Shilin Zhao
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2020 – today
- 2024
- [c12]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 - [c11]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 - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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
- [j11]Ruining Deng
, Quan Liu
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. 70(9): 2636-2644 (2023) - [i10]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i9]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) - [i8]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
- [j10]Shih-Kai Chu, Shilin Zhao, Yu Shyr
Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data. Briefings Bioinform. 23(2) (2022) - [j9]Yao Ma
Multimodality in meta-learning: A comprehensive survey. Knowl. Based Syst. 250: 108976 (2022) - [j8]Kai Zhou
Partial Discharge Localization on Power Cables Based on a Novel Signal Relay System. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c10]Kaifeng Pang, Zuhayr Asad
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images. ISBI 2022: 1-4 - [c9]Can Cui, Zuhayr Asad
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Computer-Aided Diagnosis 2022 - [c8]Can Cui, Han Liu, Quan Liu, Ruining Deng
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) 2022: 626-635 - [c7]Quan Liu, Bryan A. Millis, Zuhayr Asad
Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Image Processing 2022 - [c6]Jianwei Li, Xinwei Deng, Shilin Zhao, Ziyu Wang, Xinyue Wang
Ultra-Low-Loss Graphene Coated Optical Fiber Polarizer with PMMA Enhancement. OECC/PSC 2022: 1-3 - [i7]Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo:
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images. CoRR abs/2201.04769 (2022) - [i6]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) - [i5]Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. CoRR abs/2203.15588 (2022) - [i4]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) - 2021
- [c5]Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless
Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation. ISBI 2021: 659-662 - [c4]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 2021: 102-112 - [i3]Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo:
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation. CoRR abs/2102.08990 (2021) - [i2]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) - [i1]Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li
Multimodality in Meta-Learning: A Comprehensive Survey. CoRR abs/2109.13576 (2021) - 2020
- [j7]Hui Yu
Non-canonical RNA-DNA differences and other human genomic features are enriched within very short tandem repeats. PLoS Comput. Biol. 16(6) (2020)
2010 – 2019
- 2019
- [c3]Shilin Zhao, Kejiang Ye, Cheng-Zhong Xu
Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center. HPCC/SmartCity/DSS 2019: 2299-2304 - 2018
- [j6]Shilin Zhao, Jing Wang
Strategies for processing and quality control of Illumina genotyping arrays. Briefings Bioinform. 19(5): 765-775 (2018) - [j5]Shilin Zhao
RnaSeqSampleSize: real data based sample size estimation for RNA sequencing. BMC Bioinform. 19(1): 191:1-191:8 (2018) - 2017
- [c2]Shilin Zhao, Ming Li, Xinli Yang:
Robust Object Tracking Based on Collaborative Sparse Representation of Multifeature. ICRAI 2017: 27-32 - [c1]Xinli Yang, Ming Li, Shilin Zhao:
Facial Expression Recognition Algorithm Based on CNN and LBP Feature Fusion. ICRAI 2017: 33-38 - 2015
- [j4]Quanhu Sheng
NGSPERL: a semi-automated framework for large scale next generation sequencing data analysis. Int. J. Comput. Biol. Drug Des. 8(3): 203-211 (2015) - 2014
- [j3]Yan Guo, Shilin Zhao, Brian D. Lehmann
Detection of internal exon deletion with exon Del. BMC Bioinform. 15: 332 (2014) - [j2]Shilin Zhao, Yan Guo, Quanhu Sheng
Heatmap3: an improved heatmap package with more powerful and convenient features. BMC Bioinform. 15(S-10): P16 (2014) - 2013
- [j1]Qi Liu, Shilin Zhao, Pei-Fang Su, Shyr Yu
Gene and isoform expression signatures associated with tumor stage in kidney renal clear cell carcinoma. BMC Syst. Biol. 7(S-5): S7 (2013)
Coauthor Index
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