@article{1449868,
      note = {International conference proceedings.},
      author = {Zamzmi, Ghada, and Antani, Sameer K., and Bagci, Ulas, and  Linguraru, Marius George, and Rajaraman, Sivaramakrishnan,  and Xue, Zhiyun,},
      url = {http://library.usi.edu/record/1449868},
      title = {Medical image learning with limited and noisy data : first  international workshop, MILLanD 2022, held in conjunction  with MICCAI 2022, Singapore, September 22, 2022,  proceedings /. MILLanD (Workshop)},
      abstract = {This book constitutes the proceedings of the First  Workshop on Medical Image Learning with Limited and Noisy  Data, MILLanD 2022, held in conjunction with MICCAI 2022.  The conference was held in Singapore. For this workshop, 22  papers from 54 submissions were accepted for publication.  They selected papers focus on the challenges and  limitations of current deep learning methods applied to  limited and noisy medical data and present new methods for  training models using such imperfect data.},
      doi = {https://doi.org/10.1007/978-3-031-16760-7},
      recid = {1449868},
      pages = {1 online resource (xi, 240 pages) :},
}