Curriculum VitaeAcademic experience 2020.08 - 2023.08 Postdoc, Shing-Tung Yau Center of Southeast University 2013.10 - 2014.10 Visiting Scholar, Department of Mathematics, Vanderbilt University Education 2011.09 - 2019.11 Doctor of Engineering, Control Science and Engineering, Nanjing University of Science and Technology 2007.09 - 2011.06 Bachelor of Science, Applied Mathematics, Nanjing University of Science and Technology ResearchMy primary effort is on the mathematical theory, model, algorithm and their applications in medical image processing, especially in CT and MRI. I am also insterested in developing new methods of combining mathematics and deep learning in medical imaging. Besides, I will investigate better compression and archival systems for the extremely large image sizes used in digital pathology. Honors and AwardsTeachingPublications5. Yanan Gu, Yiming Gao, Hairong Liu, Dong Wang*, Multi-Directional Rain Streak Removal Based on Infimal Convolution of Oscillation TGV, Neurocomputing, 486 (2022), 61-76. 4. Dong Wang, David S. Smith and Xiaoping Yang*. Dynamic MR image reconstruction based on total generalized variation and low-rank decomposition. Magnetic Resonance in Medicine, 2020, 83(6), 2064-2076. 3. Dong Wang*, Jason Ostenson, and David S. Smith.snpaMRF: GPU-accelerated magnetic resonance fingerprinting dictionary generation and matching using extended phase graphs. Magnetic Resonance Imaging, 2020, 66, 248-256. 2. Dong Wang, Lori R Arlinghaus, Thomas E Yankeelov, Xiaoping Yang, David S. Smith. Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. International Journal of Biomedical Imaging, 2017, 2017:7835749. 1. Dong Wang, Lori R Arlinghaus, Thomas E Yankeelov, David S. Smith; Quantitative Evaluation of Temporal Sparse Regularizers for Compressed Sensing Breast DCE-MRI, ISMRM 25th Annual Meeting & Exhibition 2017, Honolulu, HI, USA, 22-27 April, 2017. |