Yiqing Shen

Yiqing Shen

Yiqing Shen

He is a CS Ph.D. Student of Johns Hopkins University. He obtained his bachelor degree from Shanghai Jiao Tong University. His research interests span the fields of medical image analysis, computer vision, and particularly, their interdisciplinary direction.

Publications

2022

  1. RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
    Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

  2. CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
    Yiqing Shen, Yuyin Zhou, Lequan Yu. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  3. Self-Distillation from the Last Mini-Batch for Consistency Regularization
    Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

2021

  1. CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection.
    Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke.
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021. [Dataset]

  2. Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology.
    Jing Ke, Yiqing Shen*, Xiaoyao Liang, Dinggang Shen.
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

  3. SU-Sampling Based Active Learning For Large-Scale Histopathology Image.
    Yiqing Shen, Jing Ke.
    International Conference on Image Processing (ICIP), 2021.

  4. Style Normalization In Histology With Federated Learning.
    Jing Ke, Yiqing Shen, Yizhou Lu.
    International Symposium on Biomedical Imaging (ISBI), 2021.

  5. Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer.
    Yiqing Shen, Jing Ke.
    International Symposium on Biomedical Imaging (ISBI), 2021.

  6. Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning.
    Jing Ke, Yiqing Shen, Yizhou Lu, Junwei Deng, Jason D. Wright, Yan Zhang, Qin Huang, Dadong Wang, Naifeng Jing, Xiaoyao Liang, Fusong Jiang.
    Laboratory Investigation, 2021. (Selected as Cover Page)

  7. Sampling Based Tumor Recognition in Whole-slide Histology Image with Deep Learning Approaches.
    Yiqing Shen, Jing Ke.
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.

  8. Multiple-datasets and multiple-label based color normalization in histopathology with cGAN.
    Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobin Chen, Xiaoyao Liang.
    SPIE Medical Imaging, 2021.

  9. Cluster image patches with multiple mutual information in unlabelled whole-slide image.
    Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke.
    International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

2020

  1. Identifying Patch-level MSI from Histological Images of Colorectal Cancer by a Knowledge Distillation Model.
    Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen.
    International Conference on Bioinformatics and Biomedicine (BIBM), 2020.

  2. Fast tumor detector in whole-slide image with dynamic programing based monte carlo sampling.
    Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang.
    International Conference on Image Processing (ICIP), 2020.

  3. A Deformable CRF Model for Histopathology Whole-slide Image Classification.
    Yiqing Shen, Jing Ke.
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.

  4. A Prediction Model of Microsatellite Status from Histology Images.
    Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang.
    International Conference on Biomedical Engineering and Technology, 2020.

  5. A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image.
    Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang.
    International Conference on Artificial Intelligence in Medicine, 2020.

Honors

  1. Chun-Tsung Scholar, Entitled by Nobel Prize Winner Dr. Tsung-Dao Lee, 2021.
  2. Outstanding Winner of the Mathematical Contest in Modeling, Top 6 of 7446 Teams, 2020.

Services

  1. Conference Reviewer: AMIA (2020); MICCAI (2021-2022); ECCV (2022); CVPR (2022-2023); ACCV (2022); ICASSP (2023).
  2. Journal Reviewer: Pattern Recognition; npj Digital Medicine; Computer Methods and Programs in Biomedicine (CMPB); Frontiers in Oncology; Translational Vision Science & Technology (TVST); International Journal of Medical Informatics (IJMEDI); Biomedical Signal Processing and Control (BSPC); Magnetic Resonance Materials in Physics, Biology, and Medicine.