Name: Ling Ma
Title: Associate Professor
Education: PhD
Major: Computer Application Technology
Email: maling@nankai.edu.cn
Research direction: Medical Image Processing and Analysis
1.Education and Work experience
ž2021 – Now, College of Software, NanKai University,Associate Professor
ž2017 – 2021, College of Software, NanKai University,Lecturer
ž2014 – 2016, Quantitative BioImaging Laboratory, Emory University, Visiting Scientist
ž2011 – 2017, Department of Computer Science, Beijing Institute of Technology, Doctor Degree
ž2008 – 2011, Department of Computer Science and Technology, Jilin University, Master Degree
ž2004 – 2008, Department of Computer Science and Technology, Jilin University, Bachelor Degree
2. Achievements
žStudy on the Automatic Detection of Pulmonary GGO Nodule based on the Multi-Information Deep Fusion, the Young Scientists Fund of the National Natural Science Foundation of China, 2021-2023
žStudy on Computer Aided Diagnosis of Pulmonary Diseases based on CT Images, China Postdoctoral Science Foundation, 2019-2022
3. Publications
Kexin Hao, Annan Cai, XingYu Feng,Ling Ma*, Jingwen Zhu, Murong Wang, YunZhang, Baowei Fei, Lung nodule false positive reduction using a central attention convolutional neural network on imbalanced data, In Proceedings of SPIE-the International Society for Optical Engineering, 2023, February.19-23 February 2023, 2.22, San Diego, Califonia, USA
Lei Tao,Ling Ma*, Maoqiang Xie,Xiabi Liu, Zhiqiang Tian, Baowei Fei,Automatic segmentation of the prostate on MR images based on anatomy,SPIE medical imaging 2021,Image-Guided Procedures, Robotic Interventions, and Modeling 2021.14-18 February 2021,San Diego, CA, United States.
Chuangye Wan,Ling Ma*, Xiabi Liu, Baowei Fei, Computer-aided classification of lung nodules in CT images with the expert knowledge,SPIE medical imaging 2021,Image-Guided Procedures, Robotic Interventions, and Modeling 2021.14-18 February 2021, San Diego, CA, United States.
Zhongshu Zheng,Ling Ma*, Songxiao Yang, Said Boumaraf, Xiabi Liu, U-SDRC: a novel deep learning-based method for lesion enhancement in liver CT images,SPIE medical imaging 2021,Image-Guided Procedures, Robotic Interventions, and Modeling 2021.14-18 February 2021, San Diego, CA, United States.
Ling Ma，Xiabi Liu*，Baowei Fei, A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases, Medical & Biological Engineering & Computing 2020, 58:1015–1029.
Chao An, Yiquan Jiang, Zhimei Huang, Yangkui Gu, Tianqi Zhang,Ling Ma*, Jinhua Huang*, Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration, Frontiers in Oncology,2020, 10:573316.
Ling Ma, Rongrong Guo, Zhiqiang Tian, Baowei Fei*. A random walk-based segmentation framework for 3D ultrasound images of the prostate. Medical Physics. 2017, 44(10):5128-5142.
Ling Ma, Rongrong Guo, Guoyi Zhang, David S. Schuster, Baowei Fei*. A combined learning algorithm for prostate segmentation on 3D CT images. Medical Physics. 2017, 44(11):5788-5781.
Ling Ma, Xiabi Liu*, Yan Gao, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou. A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. Journal of Biomedical Informatics, 2017, 66: 148–158.
Ling Ma, Xiabi Liu*, Baowei Fei*. Learning with Distribution of Optimized Features for Recognizing Common CT Imaging Signs of Lung Diseases. Physics in Medicine and Biology, 2017, 62(2): 612-632.
Ling Ma, Rongrong Guo, Guoyi Zhang, Funmilayo Tade, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei*. Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion. In SPIE Medical Imaging, International Society for Optics and Photonics, 2017: 101332O-101332O.Orlando, Florida, USA,2017.2.11-2.16
Ling Ma,Guolan Lu, Dongsheng Wang, Xu Wang, Zhuo Georgia Chen, Susan Muller, Amy Chen, Baowei Fei*.Deep Learning based Classification for Head and Neck Cancer Detection with Hyperspectral Imaging in an Animal Model. In SPIE Medical Imaging, International Society for Optics and Photonics, 2017: 101372G-101372G.Orlando, Florida, USA,2017.2.11-2.16.
Ling Ma,Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei*.Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. In SPIE Medical Imaging, International Society for Optics and Photonics, 2016: 978427-978427. San Diego, California, USA.2016.2.27 – 3.3.
Ling Ma,Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei*.Random walk based segmentation for the prostate on 3D transrectal ultrasound images. In SPIE Medical Imaging, International Society for Optics and Photonics, 2016: 978607-978607. San Diego, California, USA.2016.2.27 – 3.3.
Ling Ma, Xiabi Liu, Li Song, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao*. A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases. Computerized Medical Imaging and Graphics, 2015, 40: 39-48.
Xiabi Liu,Ling Ma, Li Song, Yanfeng Zhao, Xinming Zhao*, and Chunwu Zhou. Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimization. IEEE Journal of Biomedical and Health Informatics. 2015, 19(2): 635-647.
4. Social Appointments
Member of the Society for Artificial Intelligence
