Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study

Judit Csore, Trisha L. Roy, Graham Wright, Christof Karmonik. Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study. Comp. Med. Imag. and Graph., 115:102372, 2024. [doi]

@article{CsoreRWK24,
  title = {Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study},
  author = {Judit Csore and Trisha L. Roy and Graham Wright and Christof Karmonik},
  year = {2024},
  doi = {10.1016/j.compmedimag.2024.102372},
  url = {https://doi.org/10.1016/j.compmedimag.2024.102372},
  researchr = {https://researchr.org/publication/CsoreRWK24},
  cites = {0},
  citedby = {0},
  journal = {Comp. Med. Imag. and Graph.},
  volume = {115},
  pages = {102372},
}