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欢迎对医用超声波成像、流体仿真、计算机视觉/医学影像机器学习等领域感兴趣的候选人关注本课题组，课题组常年招收|
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I am working on intelligent ultrasound imaging at Zhejiang Lab. We aim to leverage the knowledge of biomedical engineering, mathematical modelling, scientific computing and the state-of-the-art artificial intelligence technology to develop and reinforce ultrasound imaging systems.
My research interests are deep learning based medical image reconstruction and analysis, and inverse problems in medical imaging, including ultrasound computed tomography, magnetic resonance imaging, photoacoustic imaging, etc.
Previously, I was a Research Associate in the Centre for Medical Image Computing, Department of Computer Science at University College London (2018-2021). I was a Project Researcher affiliated to both Fluids Engineering Laboratory and Medical Equipment Engineering Laboratory at the University of Tokyo (2017-2018). I was awarded my PhD from Department of Mechanical Engineering, the University of Tokyo (2017). My background covers mostly on numerical mathematics and scientific computing.
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- [12'23] One paper accepted to ICASSP'24.
- [12'23] Pleased to award Young Scientists Fund from Zhejiang Provincial NSFC.
- [12'23] One journal paper on ultrasound beamforming submitted to **** Journal.
- [11'23] One paper on FPGA-based deep learning segmentation submitted to ISBI'24.
- [10'23] One paper on breast FGT segmentation submitted to ISMRM'24.
- [08'23] Pleased to award Young Scientists Fund from National NSFC. Also congrats to Zhengfeng for awarding another Young Scientists Fund.
- [07'23] One paper early accepted to MICCAI'23 (Top 14%). Also congrats to Yucheng for obtaining MICCAI STAR award.
- [04'23] Three papers accepted to EMBC'23.
- [04'23] One journal paper accepted to Medical Image Analysis.
- [03‘23] One journal paper accepted to International Journal of Intelligent System.
- [07'22] One journal paper accepted to UMB.
- [06'22] One paper accepted to MICCAI'22.
- [04'22] Our team awarded second place of Adaptive Computing Challenge 2021. with AMD-Xilinx. Congrats to Yingying, Yinjie, Huimin.
- [02'22] One paper accepted to ISMRM'22.
- [06'21] Two papers accepted to MICCAI'21.
- [05'21] Two papers accepted to ISMRM'21.
- [10'20] Won 3rd place of Super MUDI challenge organised by CDMRI, the MICCAI'20 workshop.
- [04'20] One paper accepted to ICLR-AI4AH'20.
- [08'19] One paper on low-field-to-high-field MR image transfer with probabilistic model accepted to MICCAI-MLMIR'19 (oral).
- [08'19] An invited talk in DL INDABA'19.
- [06'19] Our team won 1st place of ABCD-NP challenge on prediction of fluid intelligence scores.
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- Young Scientists Fund, Zhejiang Provincial NSFC, in 2023 (on-going).
- Young Scientists Fund, National NSFC, in 2023 (on-going).
- Research Initial Grant, Zhejiang Lab, 2021-2022.
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Chinese Patents: 5 (granted)
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PCT Patents: 1 (granted)
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- MICCAI STAR award - as a senior author, in 2023
- 2nd place winner of Adaptive Computing Challenge 2021 with AMD-Xilinx, in 2022
- 3rd place winner of Super MUDI Challenge (ranking 2nd at Task Two) - MICCAI'20
- 1st place winner of ABCD Neurocognitive Prediction Challenge - MICCAI'19
- Teijin-Kumura scholarship sponsored by the Teijin Scholarhip Foundation, Japan, in 2015-2017
- SEUT RA Fellowship offered by School of Engineering, the University of Tokyo, in 2014-2017
- Outstanding Graduate Student of Shanghai City, 2014
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Conference Review: MICCAI, MICCAI-UNSURE, IPCAI
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Journal Review: MedIA, IEEE TMI, PMB, MST, AIRE, Front. Med., MIA, MELBA, Scientific Reports
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Guest Associate Editor: Frontiers in Artificial Intelligence