Kang Zhou 周康
Ph.D. Candidate
ShanghaiTech University
Email: zhoukang [at] shanghaitech [dot] edu [dot] cn
SVIP-Lab / iMED Group / Github / Google Scholar / Publons

Biography

I am currently a fourth-year (2020-2021) Ph.D. candidate at ShanghaiTech University, advised by Prof. Shenghua Gao. I am also a member of the iMED Group, working with Prof. Jiang Liu. Before that, I obtained my bachelor's degree from Northwestern Polytechnical University in 2017.


I am interested in the understanding of medical images, especially the retinal fundus image and OCT images. Recently, my research focuses on anomaly detection in retinal images.

News

  • [09/2020] One paper was accepted to JBHI. Congrats to Huihong Zhang!
  • [07/2020] One paper was accepted to ECCV 2020. ~news (CN)

Representative Publications

Until now, I only have two publications in top-tier journal/conference :( and I am striving for this.
i) Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou*, Yuting Xiao*, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao.
~New /ECCV 2020 / [Code] / [Paper] / [Supp]
ii) Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao.
MICCAI 2019 / [Code] / [Paper] / [Supp] / [Slides] / [Poster] / (Oral, ~2%)

All Publications

[Conference] First/Co-first author (* indicates equal contribution):
[7] Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou*, Yuting Xiao*, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao.
ECCV 2020 / [Code] / [Paper] / [Supp]
[6] Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Retinal OCT Image Anomaly Detection
Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu.
IEEE ISBI 2020 / [Paper]
[5] Perceptual-assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography
Zhenjie Chai*, Kang Zhou*, Jianlong Yang, Yuhui Ma, Zhi Chen, Shenghua Gao, Jiang Liu.
IEEE ISBI 2020 / [Paper]
[4] Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao.
MICCAI 2019 / [Code] / [Paper] / [Supp] / [Slides] / [Poster] / (Oral, ~2%)
[3] Hybrid Neural Network for Photoacoustic Imaging Reconstruction
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jiang Liu, Shenghua Gao, Fei Gao.
IEEE EMBC 2019 / [Code] / [Paper] / [Slides]
[2] Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu.
IEEE EMBC 2018 / [Slides] / [Poster]
[1] Fundus Image Quality-Guided Diabetic Retinopathy Grading
Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu.
MICCAI 2018 Workshop / [Poster] / [Fundus Image Quality Dataset]
[Journal] Co-author:
[6] Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning
Huihong Zhang, Jianlong Yang, Kang Zhou, Fei Li, Yan Hu, Yitian Zhao, Ce Zheng, Xiulan Zhang, Jiang Liu.
~New / IEEE Journal of Biomedical and Health Informatics (JBHI), 2020
[5] Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders
Ce Zheng, Xiaolin Xie, Kang Zhou, Bang Chen, Jili Chen, Haiyun Ye, Wen Li, Tong Qiao, Shenghua Gao, Jianlong Yang, Jiang Liu.
Translational Vision Science & Technology, 2020
[4] Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning
Ting Zhou, Jianlong Yang, Kang Zhou, Liyang Fang, Yan Hu, Jun Cheng, Yitian Zhao, Xiangping Chen, Shenghua Gao, Jiang Liu.
OSA Continuum, 2020
[3] CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu.
IEEE Transactions on Medical Imaging ( TMI ), 2019 / [Code]
[2] Automated Retinal Lesion Detection via Image Saliency Analysis
Qifeng Yan, Yitian Zhao, Yalin Zheng, Yonghuai Liu, Kang Zhou, Alejandro Frangi, Jiang Liu.
Medical physics, 2019
[1] Noise Adaptation Generative Adversarial Network for Medical Image Analysis
Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu.
IEEE Transactions on Medical Imaging ( TMI ), 2019
[Conference] Co-author:
[3] SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading
Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu.
IEEE ISBI 2020 / (Oral)
[2] Open-Set OCT Image Recognition with Synthetic Learning
Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu.
IEEE ISBI 2020
[1] DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling
Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng, Jiang Liu.
MICCAI 2018 Workshop
[Under Review]
[2] High Signal-to-noise Ratio Reconstruction of Low Bit-depth Optical Coherence Tomography using Deep Learning
Qiangjiang Hao*, Kang Zhou*, Jianlong Yang, Yan Hu, Zhengjie Chai, Yuhui Ma, Shenghua Gao, Jiang Liu.
[1] High-resolution restoration of wide-field OCT angiography via unsupervised deep learning
Jianlong Yang, Ting Zhou, Kang Zhou, Xiangping Chen, Yitian Zhao, Yan Hu, Jiang Liu.

Professional Services

  • Journal Reviewer
  • IEEE Transactions on Medical Imaging (TMI)

    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

    IEEE Journal of Biomedical and Health Informatics (JBHI)

    Knowledge-Based Systems

    International Journal of Imaging Systems and Technology


  • Conference Reviewer
  • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020

    7th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA7), 2020

Invited Talks

Highlighted Project

  • "Collection of work on the anomaly detection in medical images" HERE

Awards and Honors

  • [2018] Outstanding Student of ShanghaiTech University.
  • [2017] Outstanding Graduate of Northwestern Polytechnical University.
  • [2016] First-Class Scholarship for Outstanding Students.
Last updated:

Sep. 8, 2020