A hybrid level set-volume constraint method for incompressible two-phase flow. - Yaohong Wang; S. Simakhina; Mark Sussman (J. Comput. Phys., 2012)

A Coupled Level Set-Moment of Fluid Method for Incompressible Two-Phase Flows. - Matthew Jemison; Eva Loch; Mark Sussman; Mikhail J. Shashkov; Marco Arienti; Mitsuhiro Ohta; Yaohong Wang (J. Sci. Comput., 2013)

Micro-droplet of Particulate Suspension Generated by a Pneumatic Ejection System. - Weijie Bao; Shengnan Sun; Zhihai Wang; Yaohong Wang (NEMS, 2021)

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. - Can Cui 006; Han Liu; Quan Liu 002; Ruining Deng; Zuhayr Asad; Yaohong Wang; Shilin Zhao; Haichun Yang; Bennett A. Landman; Yuankai Huo (MICCAI (5), 2022)

Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (MMMI@MICCAI, 2022)

Alginate hydrogel microcapsules produced by coaxial electrohydrodynamic method. - Song Zixuan; Zhihai Wang; Xi Chen; Jingang Gui; Yaohong Wang (NEMS, 2022)

Low-Regularity Integrator for the Davey-Stewartson System: Elliptic-Elliptic Case. - Cui Ning; Yaohong Wang (Comput. Methods Appl. Math., 2022)

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. - Can Cui 006; Han Liu; Quan Liu 002; Ruining Deng; Zuhayr Asad; Yaohong Wang; Shilin Zhao; Haichun Yang; Bennett A. Landman; Yuankai Huo (CoRR, 2022)

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. - Can Cui 006; Haichun Yang; Yaohong Wang; Shilin Zhao; Zuhayr Asad; Lori A. Coburn; Keith T. Wilson; Bennett A. Landman; Yuankai Huo (CoRR, 2022)

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. - Can Cui 006; Yaohong Wang; Shunxing Bao; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Lori A. Coburn; Keith T. Wilson; et al. (MILLanD@MICCAI, 2023)

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. - Ruining Deng; Yanwei Li; Peize Li; Jiacheng Wang; Lucas W. Remedios; Saydolimkhon Agzamkhodjaev; Zuhayr Asad; Quan Liu 002; Can Cui 006; Yaohong Wang; Yihan Wang; Yucheng Tang; et al. (MICCAI (6), 2023)

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. - Shunxing Bao; Ho Hin Lee; Qi Yang 004; Lucas Walker Remedios; Ruining Deng; Can Cui 006; Leon Yichen Cai; Kaiwen Xu; Xin Yu 010; Sophie Chiron; Yike Li; Nathan Heath Patterson; et al. (MIDL, 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. - Can Cui 006; Shunxing Bao; Jia Li 027; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Sophie Chiron; Ken S. Lau; Yaohong Wang; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; et al. (Digital and Computational Pathology, 2023)

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. - Ruining Deng; Can Cui 006; Quan Liu 002; Tianyuan Yao; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Lee E. Wheless; Lori A. Coburn; Keith T. Wilson; Yaohong Wang; Shilin Zhao; et al. (CoRR, 2023)

Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis. - Juming Xiong; Yilin Liu; Ruining Deng; Regina N. Tyree; Hernán Correa; Girish Hiremath; Yaohong Wang; Yuankai Huo (CoRR, 2023)

Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation. - Yilin Liu; Ruining Deng; Juming Xiong; Regina N. Tyree; Hernán Correa; Girish Hiremath; Yaohong Wang; Yuankai Huo (CoRR, 2023)

Circle Representation for Medical Instance Object Segmentation. - 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 (CoRR, 2024)

Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. - Lining Yu; Mengmeng Yin; Ruining Deng; Quan Liu 002; Tianyuan Yao; Can Cui 006; Yu Wang; Yaohong Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2024)

Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology. - Junchao Zhu; Mengmeng Yin; Ruining Deng; Yitian Long; Yu Wang; Yaohong Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2024)

Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology. - Lining Yu; Mengmeng Yin; Ruining Deng; Quan Liu 002; Tianyuan Yao; Can Cui 006; Junlin Guo; Yu Wang; Yaohong Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2024)

Cross-scale multi-instance learning for pathological image diagnosis. - Ruining Deng; Can Cui 006; Lucas W. Remedios; Shunxing Bao; R. Michael Womick; Sophie Chiron; Jia Li 027; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Keith T. Wilson; Yaohong Wang; et al. (Medical Image Anal., 2024)

Low-Regularity Integrator for the Davey-Stewartson II System. - Cui Ning; Xiaomin Kou; Yaohong Wang (J. Sci. Comput., 2024)

Shape Classification Using a Single Seal-Whisker-Style Sensor Based on the Neural Network Method. - Yitian Mao; Yingxue Lv; Yaohong Wang; Dekui Yuan; Luyao Liu; Ziyu Song; Chunning Ji (Sensors, 2024)

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics. - Junchao Zhu; Ruining Deng; Tianyuan Yao; Juming Xiong; Chongyu Qu; Junlin Guo; Siqi Lu; Yucheng Tang; Daguang Xu; Mengmeng Yin; Yu Wang; Shilin Zhao; et al. (CoRR, 2025)

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology. - Can Cui 006; Xindong Zheng; Ruining Deng; Quan Liu 002; Tianyuan Yao; Keith T. Wilson; Lori A. Coburn; Bennett A. Landman; Haichun Yang; Yaohong Wang; Yuankai Huo (CoRR, 2025)