劉東，中國科學技術大學生物醫學工程特任研究員、博士生導師。
研究方向,主要成就,代表論文,
研究方向
數據/模型驅動的智慧型與影像技術開發
套用於生物醫學的數學物理模型開發
電磁計算、反演問題、人工/機器智慧型
無損電磁成像系統設計與套用開發
主要成就
1、基於深度神經網路的電阻抗圖像重建方法研究，基金委面上項目，62371433，2024.01-2027.12，主持
2、基於參數化多相水平集方法的電阻抗成像算法研究，基金委面上項目61871356，2019.01-2022.12，結題，主持
3、面向固態量子感測的自旋系綜測量與調控裝置，國家重大科研儀器研製項目，51727808，2018-01至2022-12，723萬元，結題，課題負責人
代表論文
1. J Wang, Y Wang, J Deng and D Liu. Unsupervised Coordinate-Based Neural Network for Electrical Impedance Tomography. IEEE Transactions on Computational Imaging, 9:1213-1225, 2023.
2. D Liu, J Wang, Q Shan, D Smyl, J Deng and J F Du. DeepEIT: deep image prior enabled electrical impedance tomography. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9627-9638, 2023.
3. Q Shan, J Wang and D Liu. Deep Image Prior Based PET Reconstruction From Partial Data. IEEE Transactions on Radiation and Plasma Medical Sciences, 2023. DOI 10.1109/TRPMS.2023.3280674
4. Y Song, Y Wang and D Liu. A nonlinear weighted anisotropic total variation regularization for electrical impedance tomography. IEEE Transactions on Instrumentation and Measurements, 71:4010713, 2022.
5. D Gu, J Deng, D Smyl, D Liu and J F Du. Supershape Augmented Reconstruction Method Based on Boolean Operations in Electrical Impedance Tomography, IEEE Transactions on Instrumentation and Measurement, 70: 4507111, 2021.
6. D Liu and J F Du. Shape and topology optimization in electrical impedance tomography via moving morphable components method. Structural and Multidisciplinary Optimization, 64:585-598, 2021.
