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Ling Ma 0004
Person information
- affiliation: University of Texas at Dallas, Richardson, TX, USA
- affiliation (PhD 2020): Tianjin University, State Key Lab of Precision Measuring Technology and Instruments, China
Other persons with the same name
- Ling Ma — disambiguation page
- Ling Ma 0001 — Illinois Institute of Technology, Chicago, IL, USA
- Ling Ma 0002 — University of East Anglia, Norwich, UK
- Ling Ma 0003
— University of Huddersfield, School of Art, Design and Architecture, UK (and 3 more)
- Ling Ma 0005
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2020 – today
- 2024
- [j8]Ling Ma, Qiliang Fan
A novel Residual and Gated Network for prostate segmentation on MR images. Biomed. Signal Process. Control. 87(Part A): 105508 (2024) - 2023
- [c21]Armand Rathgeb, Ling Ma, Minh Tran, Baowei Fei:
Extended depth of field imaging for mosaic hyperspectral images. Digital and Computational Pathology 2023 - [c20]Kexin Hao, Annan Cai, Xingyu Feng, Ling Ma, Jingwen Zhu, Murong Wang, Yun Zhang, Baowei Fei:
Lung nodule false positive reduction using a central attention convolutional neural network on imbalanced data. Image-Guided Procedures 2023 - [c19]Kelden Pruitt, Brett Johnson, Jeffrey Gahan, Ling Ma, Baowei Fei:
A high-speed hyperspectral laparoscopic imaging system. Image-Guided Procedures 2023 - 2022
- [c18]Ling Ma, Armand Rathgeb, Minh Tran, Baowei Fei:
Unsupervised super resolution network for hyperspectral histologic imaging. Digital and Computational Pathology 2022 - [c17]Minh Ha Tran, Ling Ma, James V. Litter, Amy Y. Chen, Baowei Fei:
Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning. Digital and Computational Pathology 2022 - [c16]Ximing Zhou, Ling Ma, Hasan K. Mubarak, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning. Digital and Computational Pathology 2022 - [c15]Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Image-Guided Procedures 2022 - 2021
- [c14]Ling Ma
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. Digital Pathology 2021 - [c13]Ximing Zhou, Ling Ma
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. Digital Pathology 2021 - [c12]Ling Ma
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification. Image-Guided Procedures 2021 - [c11]Lei Tao
Automatic segmentation of the prostate on MR images based on anatomy and deep learning. Image-Guided Procedures 2021 - [c10]Chuangye Wan, Ling Ma, Xiabi Liu, Baowei Fei
Computer-aided classification of lung nodules on CT images with expert knowledge. Image-Guided Procedures 2021 - 2020
- [j7]Ling Ma, Xiabi Liu, Baowei Fei
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical Biol. Eng. Comput. 58(5): 1015-1029 (2020) - [c9]Ling Ma
In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171C - [c8]Ling Ma
Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. Digital Pathology 2020: 113200W
2010 – 2019
- 2019
- [j6]Chunyue Li, Jiajia Jiang
Towed Array Shape Estimation Based on Single or Double Near-Field Calibrating Sources. Circuits Syst. Signal Process. 38(1): 153-172 (2019) - [j5]Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen, Baowei Fei
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - 2018
- [j4]Yi Yang, Fajie Duan, Ling Ma
A rotationally invariant descriptor based on mixed intensity feature histograms. Pattern Recognit. 76: 162-174 (2018) - [j3]Jiajia Jiang, Xianquan Wang, Fajie Duan, Chunyue Li, Xiao Fu, Tingting Huang, Lingran Bu, Ling Ma
Bio-Inspired Covert Active Sonar Strategy. Sensors 18(8): 2436 (2018) - [j2]Yi Yang, Fajie Duan, Ling Ma
A Robust method for constructing rotational invariant descriptors. Signal Process. Image Commun. 60: 224-236 (2018) - [c7]James D. Dormer
Heart chamber segmentation from CT using convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782S - [c6]James D. Dormer
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. Computer-Aided Diagnosis 2018: 1057530 - [c5]Maysam Shahedi
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Image-Guided Procedures 2018: 1057616 - 2017
- [j1]Yi Yang, Fajie Duan, Jiajia Jiang, Ling Ma
Robust method for interest region description based on local intensity binary pattern. J. Electronic Imaging 26(4): 43025 (2017) - [c4]Ling Ma, Guolan Lu, Dongsheng Wang, Xu Wang, Zhuo Georgia Chen, Susan Muller, Amy Y. Chen, Baowei Fei
Deep learning based classification for head and neck cancer detection with hyperspectral imaging in an animal model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101372G - [c3]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. Image Processing 2017: 101332O - 2016
- [c2]Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster
Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Image-Guided Procedures 2016: 978607 - [c1]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. Image Processing 2016: 978427
Coauthor Index
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