@article{1482328,
      recid = {1482328},
      author = {Abdulkadir, Ahmed, and Bathula, Deepti R., and Dvornek,  Nicha C., and Govindarajan, Sindhuja T., and Habes,  Mohamad, and Kumar, Vinod, and Leonardsen, Esten, and  Wolfers, Thomas, and Xiao, Yiming,},
      title = {Machine learning in clinical neuroimaging : 6th  international workshop, MLCN 2023, held in conjunction with  MICCAI 2023, Vancouver, BC, Canada, October 8, 2023,  proceedings /. MLCN (Workshop)},
      pages = {1 online resource (x, 174 pages) :},
      note = {International conference proceedings.},
      abstract = {This book constitutes the refereed proceedings of the 6th  International Workshop on Machine Learning in Clinical  Neuroimaging, MLCN 2023, held in Conjunction with MICCAI  2023 in Vancouver, Canada, in October 2023. The book  includes 16 papers which were carefully reviewed and  selected from 28 full-length submissions. The 6th  International Workshop on Machine Learning in Clinical  Neuroimaging (MLCN 2023) aims to bring together the top  researchers in both machine learning and clinical  neuroscience as well as tech-savvy clinicians to address  two main challenges: 1) development of methodological  approaches for analyzing complex and heterogeneous  neuroimaging data (machine learning track); and 2) filling  the translational gap in applying existing machine learning  methods in clinical practices (clinical neuroimaging  track). The papers are categorzied into topical  sub-headings on Machine Learning and Clinical  Applications.},
      url = {http://library.usi.edu/record/1482328},
      doi = {https://doi.org/10.1007/978-3-031-44858-4},
}