@article{1482326,
      recid = {1482326},
      author = {Xue, Zhiyun, and Antani, Sameer K., and Zamzmi, Ghada, and  Yang, Feng, and Rajaraman, Sivaramakrishnan, and Huang,  Sharon Xiaolei, and Linguraru, Marius George, and Liang,  Zhaohui,},
      title = {Medical image learning with limited and noisy data :  second international workshop, MILLanD 2023, held in  conjunction with MICCAI 2023, Vancouver, BC, Canada,  October 8, 2023, proceedings /. MILLanD (Workshop) :},
      pages = {1 online resource (xi, 270 pages) :},
      note = {International conference proceedings.},
      abstract = {This book consists of full papers presented in the 2nd  workshop of ”Medical Image Learning with Noisy and Limited  Data (MILLanD)” held in conjunction with the 26th  International Conference on Medical Image Computing and  Computer Assisted Intervention (MICCAI 2023). The 24 full  papers presented were carefully reviewed and selected from  38 submissions. The conference focused on 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.},
      url = {http://library.usi.edu/record/1482326},
      doi = {https://doi.org/10.1007/978-3-031-44917-8},
}