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Works (21)

Data from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.c.7606500
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

Cancer Research
2025-01-02 | Journal article
DOI: 10.1158/0008-5472.CAN-24-1472
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Supplementary Figure S1 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122642
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S2 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122639
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S3 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122636
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S4 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122633
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S5 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122630
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S6 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122627
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S7 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122624
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S8 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122621
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Figure S9 from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122618
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Crossref

Supplementary Tables from SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

2025-01-02 | Preprint
DOI: 10.1158/0008-5472.28122615
Contributors: Xinyi Liu; Gongyu Tang; Yuhao Chen; Yuanxiang Li; Hua Li; Xiaowei Wang
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Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context

IEEE Transactions on Medical Imaging
2024-10 | Journal article
DOI: 10.1109/TMI.2024.3414931
Contributors: Rucha Deshpande; Muzaffer Özbey; Hua Li; Mark A. Anastasio; Frank J. Brooks
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A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods

IEEE Transactions on Medical Imaging
2022-05 | Journal article
DOI: 10.1109/TMI.2021.3135147
Contributors: Kaiyan Li; Weimin Zhou; Hua Li; Mark A. Anastasio
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Learning-Based Cancer Treatment Outcome Prognosis Using Multimodal Biomarkers

IEEE Transactions on Radiation and Plasma Medical Sciences
2022-02 | Journal article
DOI: 10.1109/TRPMS.2021.3104297
Contributors: Maliazurina Saad; Shenghua He; Wade Thorstad; Hiram Gay; Daniel Barnett; Yujie Zhao; Su Ruan; Xiaowei Wang; Hua Li
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A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers

Bioinformatics
2021-10-11 | Journal article
DOI: 10.1093/bioinformatics/btab242
Contributors: Shenghua He; Chunfeng Lian; Wade Thorstad; Hiram Gay; Yujie Zhao; Su Ruan; Xiaowei Wang; Hua Li; Peter Robinson
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Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks

IEEE Transactions on Medical Imaging
2021-09 | Journal article
DOI: 10.1109/TMI.2021.3076810
Contributors: Kaiyan Li; Weimin Zhou; Hua Li; Mark A. Anastasio
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A MicroRNA Expression Signature as Prognostic Marker for Oropharyngeal Squamous Cell Carcinoma

JNCI: Journal of the National Cancer Institute
2021-06-01 | Journal article
DOI: 10.1093/jnci/djaa161
Contributors: Xinyi Liu; Ping Liu; Rebecca D Chernock; Zhenming Yang; Krystle A Lang Kuhs; James S. Lewis, Jr; Jingqin Luo; Hua Li; Hiram A Gay; Wade L Thorstad et al.
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Task-based image quality assessment in radiation therapy: initial characterization and demonstration with computer-simulation study

Physics in Medicine & Biology
2019-07-18 | Journal article
DOI: 10.1088/1361-6560/ab2dc5
Contributors: Steven R Dolly; Yang Lou; Mark A Anastasio; Hua Li
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Treatment Outcome Prediction for Cancer Patients Based on Radiomics and Belief Function Theory

IEEE Transactions on Radiation and Plasma Medical Sciences
2019-03 | Journal article
DOI: 10.1109/TRPMS.2018.2872406
Contributors: Jian Wu; Chunfeng Lian; Su Ruan; Thomas R. Mazur; Sasa Mutic; Mark A. Anastasio; Perry W. Grigsby; Pierre Vera; Hua Li
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Learning-based stochastic object models for characterizing anatomical variations

Physics in Medicine & Biology
2018-03-14 | Journal article
DOI: 10.1088/1361-6560/aab000
Contributors: Steven R Dolly; Yang Lou; Mark A Anastasio; Hua Li
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Peer review (3 reviews for 1 publication/grant)

Review activity for Medical image analysis. (3)
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