Ling Ma

Orcid: 0000-0002-4352-5697

Affiliations:
  • University of Texas at Dallas, Richardson, TX, USA
  • Tianjin University, State Key Lab of Precision Measuring Technology and Instruments, China (PhD 2020)


According to our database1, Ling Ma authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A novel Residual and Gated Network for prostate segmentation on MR images.
Biomed. Signal Process. Control., January, 2024

2023
A high-speed hyperspectral laparoscopic imaging system.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Lung nodule false positive reduction using a central attention convolutional neural network on imbalanced data.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2021
Computer-aided classification of lung nodules on CT images with expert knowledge.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Automatic segmentation of the prostate on MR images based on anatomy and deep learning.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases.
Medical Biol. Eng. Comput., 2020

Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging.
Vis. Comput. Ind. Biomed. Art, 2019

Towed Array Shape Estimation Based on Single or Double Near-Field Calibrating Sources.
Circuits Syst. Signal Process., 2019

2018
A Robust method for constructing rotational invariant descriptors.
Signal Process. Image Commun., 2018

Bio-Inspired Covert Active Sonar Strategy.
Sensors, 2018

A rotationally invariant descriptor based on mixed intensity feature histograms.
Pattern Recognit., 2018

A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Heart chamber segmentation from CT using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Robust method for interest region description based on local intensity binary pattern.
J. Electronic Imaging, 2017

Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Deep learning based classification for head and neck cancer detection with hyperspectral imaging in an animal model.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Combining population and patient-specific characteristics for prostate segmentation on 3D CT images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Random walk based segmentation for the prostate on 3D transrectal ultrasound images.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016


  Loading...