Kang Zhou 周康
Ph.D. Candidate
School of Information Science and Technology
ShanghaiTech University, Shanghai, China
Email: zhoukang [at] shanghaitech [dot] edu [dot] cn
GitHub / Google Scholar / Publons / ORCID

Biography

I am currently a final-year (2021-2022) Ph.D. candidate at both ShanghaiTech University. I am also a member of the iMED Group. Before that, I received my bachelor degree from Northwestern Polytechnical University (NWPU) in 2017.


My research direction is intelligent medical image analysis, with a primary focus on ophthalmic images. Recently, I focus on developing image anomaly detection methods and their application in the medical image. My research interests are as follows:

- Technique: Open-Set Learning, Anomaly Detection, Domain Adaptation, Machine Learning, Computer Vision

- Organ: Eye, Brain

- Disease: Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), Glaucoma

- Imaging Modality: Color Fundus, OCT, MRI

- Medical Imaging: OCT Imaging, Photoacoustic Imaging

News

  • [09/2021] We upload the [video] that introduces our ECCV paper on anomaly detection in retinal images.
  • [07/2021] One paper on image anomaly detection was accepted to TNNLS (IF=10.45).
  • [02/2021] I was recognized as a Distinguished Reviewer of IEEE TMI.
  • [01/2021] One paper on domain adaptation was accepted to ISBI 2021. Congrats to Zhenjie Chai!
  • [11/2020] I received the "Outstanding Student of ShanghaiTech University, 2020" award.
  • [10/2020] One paper was accepted to Journal of Biomedical Optics. Congrats to Qiangjiang Hao!
  • [09/2020] One paper was accepted to JBHI. Congrats to Huihong Zhang!
  • [08/2020] I gave a talk on medical image analysis at IVPAI 2020.
  • [07/2020] One paper on anomaly detection was accepted to ECCV 2020.
  • [01/2020] Four papers were accepted to ISBI 2020.
  • [06/2019] One paper was accepted to MICCAI 2019 with oral (rate 2%). Congrats to Hengrong Lan!
  • [03/2019] One paper was accepted to IEEE TMI. Congrats to Zaiwang Gu!
  • [11/2018] I received the "Outstanding Student of ShanghaiTech University, 2018" award.
  • [04/2018] One paper was accepted to EMBC 2018.
  • [07/2017] I received my bachelor degree from Northwestern Polytechnical University. Congrats to myself!
  • [09/2015] I gave a talk at Northwestern Polytechnical University for 3000+ freshmen.

Selected Publications (Full publications could be found in Google Scholar)

[Journal] First/Co-first Author (* indicates equal contribution):
[2] Memorizing Structure-Texture Correspondence for Image Anomaly Detection
Kang Zhou*, Jing Li*, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=10.45), 2021
[1] 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, Gangjun Liu, Yitian Zhao, Shenghua Gao, Jiang Liu.
Journal of Biomedical Optics (IF=3.17), 2020
[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] / [Video]
[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:
[2] 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.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2020
[1] 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] / "ESI Highly Cited Paper"
[Conference] Co-Author:
[2] Memory-Assisted Dual-End Adaptation Network For Choroid Segmentation In Multi-Domain Optical Coherence Tomography
Zhenjie Chai, Jianlong Yang, Kang Zhou, Zhi Chen, Yitian Zhao, Shenghua Gao, Jiang Liu
IEEE ISBI 2021
[1] 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

Professional Services

  • Journal Reviewer
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

    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

    ACM Transactions on Multimedia Computing Communications and Applications

    Scientific Reports

    Biomedical Signal Processing and Control

    International Journal of Imaging Systems and Technology


  • Conference Reviewer
  • MICCAI (2020, 2021)

    ICCV (2021)

    AAAI (2021)

    WACV (2021, 2022)

    MICCAI Workshop on Ophthalmic Medical Image Analysis (2020, 2021)

    ICCV Workshop on Computer Vision for Automated Medical Diagnosis (2021)

Invited Talks

Highlighted Project

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

Awards and Honors

  • [2020] Outstanding Student of ShanghaiTech University.
  • [2018] Outstanding Student of ShanghaiTech University.
  • [2017] Outstanding Graduate of NWPU.
  • [2016] First-Class Scholarship for Outstanding Students of NWPU.
  • [2015] Technology Star of NWPU.
  • [2015] National TIIC Undergraduate IOT Design Contest, the Second Prize.
  • [2015] International Contest of Innovation, the Third Prize.
  • [2014] National Inspirational Scholarship.
Last updated:

Sep. 14, 2021