CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (MICCAI (4), 2020)

CircleNet: Anchor-free Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (CoRR, 2020)

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Sophie Chiron; Ilwoo Lyu; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (COMPAY@MICCAI, 2021)

SimTriplet: Simple Triplet Representation Learning with a Single GPU. - Quan Liu 002; 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 (MICCAI (2), 2021)

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)

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Jia Li 027; Can Cui 006; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Ho Hin Lee; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; Lori A. Coburn; Keith T. Wilson; et al. (MOVI@MICCAI, 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)

Inpainting missing tissue in multiplexed immunofluorescence imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Qi Yang 004; Xin Yu 002; Sophie Chiron; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; 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)

Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images. - Coleman R. Harris; Eliot T. McKinley; Joseph T. Roland; Qi Liu 024; Martha J. Shrubsole; Ken S. Lau; Robert J. Coffey; Julia Wrobel; Simon N. Vandekar (Bioinform., 2022)

Circle Representation for Medical Object Detection. - Ethan H. Nguyen; Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (IEEE Trans. Medical Imaging, 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)

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)

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. - Shunxing Bao; Can Cui 006; Jia Li 027; Yucheng Tang; Ho Hin Lee; Ruining Deng; Lucas W. Remedios; Xin Yu 010; Qi Yang 004; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; et al. (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. - 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)

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. - Lucas W. Remedios; Shunxing Bao; Cailey I. Kerley; Leon Y. Cai; François Rheault; Ruining Deng; Can Cui 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. - Shunxing Bao; Sichen Zhu; Vasantha L. Kolachala; Lucas W. Remedios; Yeonjoo Hwang; Yutong Sun; Ruining Deng; Can Cui 006; Yike Li; Jia Li 027; Joseph T. Roland; Qi Liu 024; et al. (CoRR, 2023)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 2024)

GammaGateR: semi-automated marker gating for single-cell multiplexed imaging. - Jiangmei Xiong; Harsimran Kaur; Cody N. Heiser; Eliot T. McKinley; Joseph T. Roland; Robert J. Coffey; Martha J. Shrubsole; Julia Wrobel; Siyuan Ma; Ken S. Lau; Simon N. Vandekar (Bioinform., 2024)

Nucleus subtype classification using inter-modality learning. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Can Cui 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. - 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 006; Jia Li 027; Qi Liu 024; et al. (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)