Zhifan Gao


Zhifan Gao

Zhifan Gao [Google Scholar] [ResearchGate]

Associate Professor in Machine Learning and AI-aided Disease Diagnosis
School of Biomedical Engineering
Sun Yat-sen University
gaozhifan@gmail.com; gaozhifan@mail.sysu.edu.cn

Room 604, Medical Building, Sun Yat-sen University,
66 Gongchang Road, Guangming District, Shenzhen, China

I am an associate professor at School of Biomedical Engineering, Sun Yat-sen University (SYSU). Before joining SYSU, I was a postdoc at Schulich School of Medicine & Dentistry, Western University (UWO), Canada, working with Prof. Shuo Li. I obtained the Ph.D. in Pattern Recognition and Intelligent Systems from University of Chinese Academy of Sciences, and M.Eng. and B.Sc. in Electronic and Information Engineering from Huazhong University of Science and Technology, China.

I am always looking for highly-motivated students with strong mathematical background or excellent coding skills. If you are interested in working with me, please send me an email about your interests and background (attaching your CV, transcripts, and any previous research papers).


Research Interests

  • Machine learning and computer vision

  • AI-aided disease analysis and diagnosis


News

  • 01/2022, our paper on coronary blood flow model was featured as the Cover Paper in Medical Physics.

  • 12/2021, a paper on angiographic reconstruction by generative adversarial network accepted to FGCS.

  • 08/2021, a paper on multi-modal cardiac image segmentation accepted to Medical Image Analysis.

  • 06/2021, a paper on joint segmentation and quantification of main coronary vessels accepted to MICCAI 2021.

  • 02/2021, I was certified as the IEEE TMI Distinguished Reviewer.

  • 01/2021, I was invited to be a grant reviewer of Medical Research Council (MRC), UK.

  • 12/2020, I won the Wu Wenjun AI Science & Technology Outstanding Youth Award.

  • 07/2020, a paper on video saliency detection accepted to IEEE TII.

  • 06/2020, an expert consensus review on carotid motion estimation accepted to UMB.

  • 03/2020, a paper on cardiac index estimation accepted to IEEE TNNLS.

  • 12/2019, a paper on image co-saliency detection accepted to IEEE IoT.

  • 11/2019, a paper on learning physical properties of blood flow dynamics accepted to Neural Networks.

  • 11/2019, a paper on intracoronary vessel border detection accepted to IEEE TMI.

  • 09/2019, a paper on salient object detection accepted to IEEE Network.

  • 09/2019, I won the Global Top Peer Reviewer Award endorsed by Publons.

  • 08/2019, our paper was featured as the Cover Paper in IJACSP.

  • 07/2019, a paper on learning-based quasi-static ultrasound elastography accepted to Medical Image Analysis.

  • 06/2019, a paper on multi-modal intraocoronary image segmentation accepted to MICCAI 2019 (early acceptance)

  • 11/2018. our three papers have been featured as ESI Highly Cited Paper.

  • 07/2018, two papers accepted to BMVC 2018.

  • 05/2018, two papers accepted to MICCAI 2018.

  • 06/2018, I started working at the Western University as a postdoctoral fellow.

  • 01/2018, a paper on cardiac deformation analysis accepted to IEEE JTEHM.

  • 11/2017, a paper on carotid artery segmenation accepted to IEEE JBHI.

  • 06/2017, I began to server as a reviewer of MICCAI.

  • 05/2017, a paper on direct detection of mocardial infarction accepted to MICCAI 2017.

  • 05/2017, I won the President Award of Chinese Academy of Sciences.

  • 06/2016, I won the Student Travel Award of MICCAI 2016.

  • 04/2016, a paper accepted to MICCAI 2016.

  • 06/2015, I won the Student Travel Award of MICCAI 2015.

  • 05/2015, a paper on carotid motion estimation accepted to MICCAI 2015.