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Xingyu Li

xingyu@ualberta.ca
Assistant Professor
ECE department
University of Alberta

Computational medical imaging


Refereed Publications

  1. Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li, Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis, MICCAI Workshop - Simulation And Synthesis In Medical Imaging, Oct 2023. Source Code
  2. Yinsheng He, Xingyu Li, Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data, Proc. Medical Imaging with Deep Learning (MIDL), Jul 2023. Source Code
  3. Jianning Li, David G. Ellisd, Oldˇrich Kodymm, Laure`l Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama KrishnaSaiS. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Sˇpaneˇl, Michele R. Aizenberg, Jens Kleesiek, Jan Egger, Towards Clinical Applicability and Computation Efficiency in Automatic Cranial Implant Design: An overview of the AutoImplant 2021 Cranial Implant Design Challenge, Medical Image Analysis, 2023.
  4. Roger J. Zemp, Matthew T. Martell, Nathaniel J.M. Haven, Ewan McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy, Nature Communications, 2023.
  5. Ewan McAlister, Matthew T. Martell, Nathaniel J.M. Haven, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Improving the histological realism of ultraviolet photoacoustic remote sensing microscopy images using a deep learning based generative adversarial network, Imaging and Sensing : Photons Plus Ultrasound: Imaging and Sensingin, Jan 2022.
  6. Nathaniel J.M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Ultraviolet scattering and photoacoustic remote sensing (sPARS) microscopy for virtual H&E histology, Imaging and Sensing : Photons Plus Ultrasound: Imaging and Sensingin, Jan 2022.
  7. Nathaniel J.M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, Roger J. Zemp, Virtual histopathology with ultraviolet scattering and photoacoustic remote sensing microscopy, Optics Letters, vol. 46, no. 20, pp. 5153-5156, Oct 2021.(Highlighted as an Editor's Pick)
  8. Xingyu Li, Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images, Information Processing in Medical Imaging (IPMI), Jul 2021.
  9. Hanqiu Deng, Xingyu Li, AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review, Frontiers in Artificial Intelligence, section Medicine and Public Health, Jul 2021.
  10. Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li, Stain style transfer of histopathology images via structure-preserved generative learning, MICCAI workshop on Machine Learning for Medical Image Reconstruction (MLMIR), Oct 2020. Source Code
  11. Xingyu Li, Konstantinos N. Plataniotis, How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?, PLOS One, vol. 15, no. 10, Sep 2020.
  12. Velicko Vranes, Nemanja Rajković, Xingyu Li, Konstantinos N. Plataniotis, Nataša Todorović Raković, Jelena Milovanović, Ksenija Kanjer, Marko Radulovic, Nebojša Milošević, Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the Prognosis of Distant Metastasis Risk, Cancers, vol. 11, no. 10, pp. 1615, Oct 2019.
  13. Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis, Discriminative Pattern Mining for Breast Cancer Pathohistology Image Classification via Fully Convolutional Autoencoder, IEEE Access, vol. 7, pp. 36433 - 36445, 2019.
  14. Xingyu Li, Konstantinos N. Plataniotis, Novel Chromaticity Similarity Based Color Texture Descriptor For Digital Pathology Image Analysis, PLOS One, vol. 13, no. 11, Nov 2018.
  15. Nemanja Rajković, Xingyu Li, Konstantinos N. Plataniotis, Ksenija Kanjer, Marko Radulovic, Nebojša Milošević, The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis, Frontiers in Oncology, vol. 8, Article. 348, Aug 2018.
  16. Xingyu Li, Konstantinos N. Plataniotis, Computational Scratch Assay - A New Frontier for Image Analysis: Preliminary Study of Multi-Cellular Segmentations, Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017.
  17. Xingyu Li, Konstantinos N. Plataniotis, Circular Mixture Modeling of Color Distribution for Blind Stain Separation in Pathology Images, IEEE journal of biomedical and health informatics (J-BHI), vol. 21, no. 1, pp. 150 - 161, Jan 2017. Source Code
  18. Xingyu Li, Konstantinos N. Plataniotis, Color texture representation using circular-processing based HUE-LBP for histo-pathology image analysis, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2016.
  19. Xingyu Li, Konstantinos N. Plataniotis, Toward breast cancer histopathology image diagnosis using local color binary pattern, Proc. 14th Annual Imaging Network Ontario Symposium (ImNO), Mar 2016.
  20. Xingyu Li, Konstantinos N. Plataniotis, Diagnostic color estimation of tissue components in pathology images, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2015.(Top 10% Paper Recognition)
  21. Xingyu Li, Konstantinos N. Plataniotis, A complete color normalization approach to histo-pathology images using color cues computed from saturation-weighted statistics, IEEE Trans. on Biomedical Engineering (TBME), vol. 62, no. 7, pp. 1862 - 1873, Jul 2015. Source Code
  22. Xingyu Li, Konstantinos N. Plataniotis, Blind stain decomposition for histopathology images using circular nature of chroma components, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015.
  23. Xingyu Li, Konstantinos N. Plataniotis, Color model comparative analysis for breast cancer diagnosis using h and e stained images, Proc. SPIE Medical Imaging 2015: Digital Pathology, vol. 9420, Feb 2015.