个人简历

罗建文研究员于2005年获得清华大学生物医学工程博士学位，之后在美国哥伦比亚大学担任博士后和Associate Research Scientist。2011年全职任教于清华大学，现为清华大学医学院长聘副教授，博士生导师。

研究领域

长期专注于医学超声成像的方法研究，特别是超声弹性成像及心血管疾病与肝纤维化诊断新方法的研究。近年来，进一步开展了超分辨率超声成像、超声脑功能成像、基于深度学习的超声成像与图像分析研究。""

近期论文

Ge L, Wei X, Hao Y, Luo J*, Xu Y*, Unsupervised histological image registration using structural feature guided convolutional neural network, IEEE Transactions on Medical Imaging 2022, DOI: 10.1109/TMI.2022.3164088 (IF=11.037).\r
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Li Y, Liu Y, Huang L, Wang Z*, Luo J*. Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints. Medical Image Analysis 2022, 76: 102315 (IF=13.828).\r
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Chen Y, Liu J, Luo X*, Luo J*. ApodNet: Learning for high frame rate synthetic transmit aperture ultrasound imaging. IEEE Transactions on Medical Imaging 2021, 40(11): 3190-3204 (IF=11.037).\r
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Zhang J, He Q, Xiao Y, Zheng H, Wang C*, Luo J*, Ultrasound image reconstruction from plane wave radiofrequency dataset by self-supervised deep neural network, Medical Image Analysis 2021, 70, 102018 (IF=13.828).\r
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Liu X*, Zhou T, Lu M, Yang Y, He Q, Luo J*. Deep learning for ultrasound localization microscopy. IEEE Transactions on Medical Imaging 2020, 39(10): 3064-3078 (IF=11.037).\r
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Liu J, He Q, Luo J*. A compressed sensing strategy for synthetic transmit aperture ultrasound imaging. IEEE Transactions on Medical Imaging 2017, 36(4): 878-891 (IF=11.037).