Dong Wang
Bazinga!
Dong Wang (王冬), Ph.D.
Researcher, NJCAM
Email: dongwang@seu.edu.cn

Biography

I am currently employed as a full-time reseacher in Group A: Large-scale Scientific Computing and Media Imaging of Nanjing Center of Applied Mathematics (NJCAM). I mainly focus on medical imaging and analysis in Nuclear Medicine (PET and SPECT) and dedicate to promote the industrialization of self-developed algorithms.

My research area includes mathematical theories and methods in medical image processing. Specifically, I mainly focus on the theory of compressed sensing, deep learning, inverse problems, and their applications in medical imaging, including fast MRI, low-dose CT and low-count PET. My work has been published in top journals and conferences including MRM, MRI and ISMRM.

I am also very interested in scientific programming, especially parallel programming in CUDA/C. I also have experience in builing medical image databases and developing corresponding GUIs.

Education

  • MA & Ph.D (Sep. 2011 - Jan. 2020)
    Ph.D of Engineering, Control Science and Engineering, School of Science, Nanjing University of Science and Technology, Nanjing, Jiangsu, P.R.China.
    Supervisor: Prof. Xiaoping Yang.
  • Visiting Scholar (Oct. 2013 - Oct. 2014)
    Department of Mathematics, Vanderbilt University, Nashville, Tennessee, USA.
    Supervisor: Prof. Akram Aldroubi and Prof. David Smith.
  • B.S. (Sep. 2007 - Jun. 2011)
    Bachelor of Science, Applied Mathematics, School of Science, Nanjing University of Science and Technology, Nanjing, Jiangsu, P.R.China.

Employment

Research

  • Mathematical theories, models, algorithms, and the applications in medical imaging and analysis
  • Deep learning theories and the applications in solving large scale scientific computing
  • Inverse problems in image processing
  • Parallel programming and GUI programming

Projects

  • (Jan. 2023 - Dec. 2025) [Chief Investigator] [In Progress]
    Mathematical modeling and computational of intelligent reconstruction and lesion recognition of low-dose PET based on variational regularization. Young Scholar Program of National Natural Science Foundation of China under Grand #12201109, China, 300 000 RMB.
  • (Dec. 2020 - Nov. 2025) [Core Investigator] [In Progress]
    Mathematical theories and algorithms for precise diagnosis and treatment of pancreaticobiliary malignancies. National Key Research and Development Program of Ministry of Science and Technology under Grand #2020YFA0713800, China, 4 490 000 RMB.
  • (Jan. 2023 - Dec. 2026) [Core Investigator] [In Progress]
    Efficient numerical algorithm and Mathematical theoretical Analysis of Atmospheric data assimilation. Special Funds of the National Natural Science Foundation of China under Grand #12241102, China, 2 500 000 RMB.
  • (Jan. 2023 - Dec. 2026) [Core Investigator] [In Progress]
    Study on the changes and Regulation Mechanism of Cell-Spatial Navigation Neural Loop in A-SCD Endoolfactory Grid based on Eye Movement-fMRI. The General Program of National Natural Science Foundation of China under Grand #82271965, China, 520 000 RMB.
  • (Jan. 2023 - Dec. 2026) [Core Investigator] [In Progress]
    Multi-origin excitation conduction Modeling of parallel Rhythm and its Application in ECG Imaging recognition. The General Program of National Natural Science Foundation of China under Grand #12271094, China, 460 000 RMB.
  • (Jan. 2014 - Dec. 2016) [Core Investigator] [Complete]
    High-order non-linear partial differential equation based image models and basic algorithms. Training Program of the Major Research Plan of the National Natural Science Foundation of China under Grand #91330101, China, 800 000 RMB.
  • (Jan. 2014 - Dec. 2019) [Chief Investigator] [Complete]
    Variational methods and sparse representation based fast reconstruction models and acceleration algorithms for quantitative MRI. Ph.D Thesis.

Publications (Asterisk (*) indicates the corresponding author)

In Progress

  1. Yiming Gao, Luying Gui, and Dong Wang*. Spatially adaptive oscillation total generalized variation for image restoration with structured textures, 2024. Submitted.
  2. Heming Chen, Dong Wang, Jiayi Li, Qingqiang Yao, Nicola Pugno, Zhiyong Li, and Qiang Chen*. Match analysis of the primary microstructural and mechanical directions of human osteoporotic femoral heads, 2023. Submitted.
  3. Dong Wang, Qiang Zhang, and Jijun Liu*. On the Recovery of Conductivity in 3-Dimensional Medium by Neural Network Approximation. 2023. Submitted. [Code]
  4. Dong Wang, Jian He, Qianqian Tan, and Jijun Liu*. Deep Progressive Learning for Medical Imaging. Writing.
  5. Dong Wang, Liyan Wang, and Jijun Liu*. Deep Texture Learning for Dynamic MR Reconstruction. Writing.

Journal Papers

  1. Heming Chen, Dong Wang, Jiayi Li, Qingqiang Yao, Nicola Pugno, Zhiyong Li, and Qiang Chen*. A simple projection method to study the alignment of the principal mechanical direction with the principal microstructural direction of human osteoporotic femoral heads. Medical & Biological Engineering & Computing, 2024. Accepted. (IF:2.700)
  2. Yanan Gu, Yiming Gao, Dong Wang, Chunyang Wang, and Bibo Lu*. Low-Light Image Deraining Based on Higher Order Variational Model, 2024. Circuits, Systems, and Signal Processing, 2024. Accepted. (IF:1.800)
  3. Weijia Hou, Liwen Zou, and Dong Wang*. Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks. Surgical Innovation, 2024, 31(3):291-306. (IF:1.700) [Paper]
  4. Dong Wang, Chong Jiang, Yue Teng, Hourong Qin, Jijun Liu, and Xiaoping Yang*. M3S-Net: Multi-Modality Multi-Branch Multi-Self-Attention Network with Structure-Promoting Loss for Low-Dose PET/CT Reconstruction. Physics in Medicine & Biology, 2024, 69:025001. (IF:3.400) [Paper] [Code]
  5. Gu Yanan, Cao Ruyi, Dong Wang, and Lu Bibo*. CMP-UNet: A Retinal Vessel Segmentation Network Based on Multi-Scale Feature Fusion. Electronics, 2023, 12(23):4743. (IF:2.900) [Paper]
  6. Yanan Gu, Yiming Gao, Hairong Liu, and Dong Wang*. Multi-Directional Rain Streak Removal Based on Infimal Convolution of Oscillation TGV. Neurocomputing, 2022, 486:61-76. (IF:6.000) [Paper] [Code]
  7. Dong Wang, David S. Smith, and Xiaoping Yang*. Dynamic MR Image Reconstruction using TGV and Low-Rank Decomposition. Magnetic Resonance in Medicine, 2020, 83(6):2064-2076. (IF:3.600) [Paper] [Code] [Supplement]
  8. Dong Wang*, Jason Ostenson, and David S. Smith. snapMRF: GPU-Accelerated Magnetic Resonance Fingerprinting Dictionary Generation and Matching using Extended Phase Graphs. Magnetic Resonance Imaging, 2020, 66:248-256. (IF:2.500) [Paper] [Code]
  9. Dong Wang*, Lori R. Arlinghaus, Thomas E. Yankeelov, Xiaoping Yang, and David S. Smith. Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. International Journal of Biomedical Imaging, 2017, 2017:1-11. (IF:3.153) [Paper] [Code]

Conference Papers

  1. Dong Wang, Lori R. Arlinghaus, Thomas E. Yankeelov, and David S. Smith. Quantitative Evaluation of Temporal Sparse Regularizers for Compressed Sensing Breast DCE-MRI. Proccedings of 25th Annual Meeting of ISMRM, Honolulu, USA, 2017. [Paper]

Patents

  • 丘成桐, 刘继军, 王丽艳, 王冬. 基于压缩感知的线圈敏感度和磁共振图像联合重建方法. 2023 (已申请)
  • 丘成桐, 刘继军, 钟敏, 王冬. 基于两点梯度迭代算法的声电断层扫描图像重建算法. 2023 (已申请)
  • 丘成桐, 刘继军, 王冬, 王丽艳. 基于多模态结构相似度神经网络的低剂量PET-CT重建方法. 专利号: ZL 202211366435.9. 2023 (已授权)
  • 丘成桐, 刘继军, 王冬, 王丽艳. 基于背景低秩和多方向纹理稀疏的动态磁共振图像重建方法. 专利号: ZL 202210065873.5. 2022 (已授权)

Talks

  1. Dec. 2022. Medical Imaging: Model-Driven VS Data-Driven. Frontiers in Mathematical Science, TSIMF, Sanya. [Slide]
  2. Jan. 2022. Progress and problems in the construction of pancreaticobiliary multimodal medical imaging database and high-precision imaging. Symposium on intelligent diagnosis and accurate image analysis, Nanjing Drum Tower Hospital, Nanjing. [Slide]
  3. Oct. 2021. TGV and low-rank decomposition based dynamic MR resconstruction. CSIAM 19th Annual Meeting, Hefei. [Slide]
  4. May. 2021. The construction of medical image platform of Jiangsu national center of applied mathematics. Symposium on accurate image analysis that supports intelligent diagnosis, Nanjing University, Nanjing. [Slide]
  5. Aug. 2020. TGV and low-rank decomposition based dynamic MR resconstruction. Young Scholars Forum of National Computational Mathematics, Nankai University, Tianjin. [Slide]

Awards

  • 2022 - 2023, Zhishan Postdoc
  • 2013 - 2016, Outstanding Ph.D Student Grant
  • 2013 - 2014, Joint Ph.D Program of China Scholarship Council
  • 2011, Outstanding Undergraduate Award