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

Biography

I am currently a third-year (2019-2020) 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, Prof. Jun Cheng, Prof. Huazhu Fu, and Prof. Jianlong Yang. 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. Also, I try to make some efforts on medical imaging , and I hope it is possible that conduct the disease diagnosis from the raw data directly. Recently, my research focuses on unsupervised anomaly detection in retinal images, and choroid segmentation in OCT image.

News

  • [01/2020] Four papers are accepted to ISBI 2020, and I am trying my best for a new work!
  • [07/2017] Join in the iMED Group. ~news
  • [09/2015] Invited talk at Northwestern Polytechnical University for 3000+ freshmen. ~news

Representative Publications

Until now, I have no representative publication in top tier :( and I am striving for this.

Publications

[Journal] First and co-first author (* indicates equal contribution):
Resolution Enhancement in Low Transverse Sampling Optical Coherence Tomography Angiography using Deep Learning
Ting Zhou*, Kang Zhou*, Jianlong Yang, Liyang Fang, Yan Hu, Xiangping Chen, Shenghua Gao, Jiang Liu
High Signal-to-noise Ratio Reconstruction of Low Bit-depth Optical Coherence Tomography using Deep Learning
Qiangjiang Hao*, Kang Zhou*, Jianlong Yang, Liyang Fang, Zhengjie Chai, Yuhui Ma, Yan Hu, Shenghua Gao, Jiang Liu
[Conference] First and co-first author (* indicates equal contribution):
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
~New / IEEE ISBI 2020 / [Paper]
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
~New / IEEE ISBI 2020 / [Paper]
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
~New ~Oral / MICCAI 2019 / [Code] / [Slides] / [Poster]
Hybrid Neural Network for Photoacoustic Imaging Reconstruction
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jiang Liu, Shenghua Gao, Fei Gao
IEEE EMBC 2019 / [Slides]
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]
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] Non-first author:
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]
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
[Conference] Non-first author:
Open-Set OCT Image Recognition with Synthetic Learning
Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu
~New / IEEE ISBI 2020 / [Paper]
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
~New / IEEE ISBI 2020 / [Paper]
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

Professional Services

  • Journal Reviewer
  • IEEE Transactions on Medical Imaging

    IEEE Journal of Biomedical and Health Informatics

Awards and Honors

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