Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation. - Cam Nguyen; Zuhayr Asad; Yuankai Huo (CoRR, 2021)

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. - Ruining Deng; Quan Liu 002; Can Cui 006; Zuhayr Asad; Haichun Yang; Yuankai Huo (CoRR, 2021)

MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images. - Kaifeng Pang; Zuhayr Asad; Shilin Zhao; Yuankai Huo (ISBI, 2022)

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. - Can Cui 006; Zuhayr Asad; William F. Dean; Isabelle T. Smith; Christopher Madden; Shunxing Bao; Bennett A. Landman; Joseph T. Roland; Lori A. Coburn; Keith T. Wilson; Jeffrey P. Zwerner; Shilin Zhao; et al. (Computer-Aided Diagnosis, 2022)

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)

Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. - Quan Liu 002; Can Cui 006; Ruining Deng; Zuhayr Asad; Tianyuan Yao; Zheyu Zhu; Yuankai Huo (REMIA@MICCAI, 2022)

CircleSnake: Instance Segmentation with Circle Representation. - Ethan H. Nguyen; Haichun Yang; Zuhayr Asad; Ruining Deng; Agnes B. Fogo; Yuankai Huo (MLMI@MICCAI, 2022)

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Zuhayr Asad; Haichun Yang; Yuankai Huo (MIDL, 2022)

Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images. - Ruining Deng; Haichun Yang; Zuhayr Asad; Zheyu Zhu; Shiru Wang; Lee E. Wheless; Agnes B. Fogo; Yuankai Huo (Digital and Computational Pathology, 2022)

Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning. - Yuxuan Shi; Quan Liu 002; Jiachen Xu; Zuhayr Asad; Can Cui 006; Hernán Correa; Yash Choksi; Girish Hiremath; Yuankai Huo (Digital and Computational Pathology, 2022)

Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. - Tianyuan Yao; Yuzhe Lu; Ruining Deng; Zheyu Zhu; Zuhayr Asad; Haichun Yang; Lee E. Wheless; Agnes B. Fogo; Yuankai Huo (Digital and Computational Pathology, 2022)

Integrate memory efficiency methods for self-supervised learning on pathological image analysis. - Quan Liu 002; Bryan A. Millis; Zuhayr Asad; Can Cui 006; William F. Dean; Isabelle T. Smith; Christopher Madden; Joseph T. Roland; Jeffrey P. Zwerner; Shilin Zhao; Lee E. Wheless; Yuankai Huo (Image Processing, 2022)

Evaluating transformer-based semantic segmentation networks for pathological image segmentation. - Cam Nguyen; Zuhayr Asad; Ruining Deng; Yuankai Huo (Image Processing, 2022)

Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. - Zheyu Zhu; Ruining Deng; Quan Liu 002; Zuhayr Asad; Can Cui 006; Tianyuan Yao; Yuankai Huo (MIUA, 2022)

Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. - Yuzhe Lu; Haichun Yang; Zuhayr Asad; Zheyu Zhu; Tianyuan Yao; Jiachen Xu; Agnes B. Fogo; Yuankai Huo (CoRR, 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)

Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. - Tianyuan Yao; Yuzhe Lu; Jun Long; Aadarsh Jha; Zheyu Zhu; Zuhayr Asad; Haichun Yang; Agnes B. Fogo; Yuankai Huo (CoRR, 2022)

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2022)

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Tianyuan Yao; Chang Qu; Jun Long; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Zuhayr Asad; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; et al. (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)

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)

An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level. - Haoju Leng; Ruining Deng; Zuhayr Asad; R. Michael Womick; Haichun Yang; Lipeng Wan; Yuankai Huo (Digital and Computational Pathology, 2023)

Deep constrained spherical deconvolution for robust harmonization. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (Image Processing, 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; Yucheng Tang; Haichun Yang; Yuankai Huo (CoRR, 2023)

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (CoRR, 2023)

Digital Modeling on Large Kernel Metamaterial Neural Network. - Quan Liu 002; Hanyu Zheng; Brandon T. Swartz; Ho Hin Lee; Zuhayr Asad; Ivan I. Kravchenko; Jason G. Valentine; Yuankai Huo (CoRR, 2023)

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (IEEE Trans. Biomed. Eng., 2023)