Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques

Article Properties
  • Language
    English
  • DOI (url)
    10.1016/j.pacs.2023.100544
  • Publication Date
    2023/10/01
  • Journal
    Photoacoustics
  • Indian UGC (journal)
  • Refrences
    43
  • Camilo Cano
  • Nastaran Mohammadian Rad
  • Amir Gholampour
  • Marc van Sambeek
  • Josien Pluim
  • Richard Lopata
  • Min Wu
Cite
Cano, Camilo, et al. “Deep Learning Assisted Classification of Spectral Photoacoustic Imaging of Carotid Plaques”. Photoacoustics, vol. 33, 2023, p. 100544, https://doi.org/10.1016/j.pacs.2023.100544.
Cano, C., Mohammadian Rad, N., Gholampour, A., van Sambeek, M., Pluim, J., Lopata, R., & Wu, M. (2023). Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques. Photoacoustics, 33, 100544. https://doi.org/10.1016/j.pacs.2023.100544
Cano C, Mohammadian Rad N, Gholampour A, van Sambeek M, Pluim J, Lopata R, et al. Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques. Photoacoustics. 2023;33:100544.
Journal Categories
Medicine
Medicine (General)
Medicine
Medicine (General)
Medical physics
Medical radiology
Nuclear medicine
Medicine
Medicine (General)
Medical technology
Science
Mathematics
Instruments and machines
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Multiperspective photoacoustic imaging using spatially diverse CMUTs IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
  • Science: Physics: Acoustics. Sound
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Technology: Engineering (General). Civil engineering (General)
 2023
Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging

 Scientific Reports
  • Medicine
  • Science
  • Science: Science (General)
 2 2023
Modeling toolchain for realistic simulation of photoacoustic data acquisition Journal of Biomedical Optics
  • Medicine: Medicine (General): Medical technology
  • Science: Physics: Optics. Light
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Science: Physics: Optics. Light
  • Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Medicine: Medicine (General)
  • Medicine: Medicine (General)
 2022
A method based on a one-dimensional convolutional neural network for UV-vis spectrometric quantification of nitrate and COD in water under random turbidity disturbance scenario RSC Advances
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Science: Chemistry
 2022
Photoacoustic imaging aided with deep learning: a review Biomedical Engineering Letters
  • Medicine: Medicine (General): Medical technology
  • Technology: Engineering (General). Civil engineering (General)
 24 2022
Refrences Analysis
Category Category Repetition
Medicine: Medicine (General)25
Medicine: Medicine (General): Medical technology22
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine21
Science: Physics: Optics. Light21
Technology: Engineering (General). Civil engineering (General)12
Science: Mathematics: Instruments and machines10
Science: Physics: Acoustics. Sound9
Science: Chemistry: Organic chemistry: Biochemistry8
Science: Mathematics: Instruments and machines: Electronic computers. Computer science6
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks5
Science: Science (General)4
Science: Biology (General)4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Science: Chemistry3
Medicine3
Science3
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics3
Science: Chemistry: General. Including alchemy2
Science: Biology (General): Genetics2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system2
Technology: Photography2
Science: Geology2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens1
Medicine: Surgery1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Science: Physics1
Geography. Anthropology. Recreation: Geography (General)1
Technology: Mechanical engineering and machinery1
The category Medicine: Medicine (General) 25 is the most frequently represented among the references in this article. It primarily includes studies from Photoacoustics The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year