@article{1452065,
      recid = {1452065},
      author = {Baxter, John S. H., and Rekik, Islem, and Eagleson, Roy,  and Zhou, Luping, and Syeda-Mahmood, Tanveer, and Wang,  Hongzhi, and Hajij, Mustafa,},
      title = {Ethical and philosophical issues in medical imaging,  multimodal learning and fusion across scales for clinical  decision support, and topological data analysis for  biomedical imaging : 1st International Workshop, EPIMI  2022, 12th International Workshop, ML-CDS 2022, 2nd  International Workshop, TDA4BiomedicalImaging, Held in  Conjunction with MICCAI 2022, Singapore, September 18-22,  2022 : proceedings /},
      pages = {1 online resource (xviii, 135 pages) :},
      note = {International conference proceedings.},
      abstract = {This book constitutes the refereed joint proceedings of  the 1st International Workshop on Ethical & Philosophical  Issues in Medical Imaging (EPIMI 2022); the 12th  International Workshop on Multimodal Learning and Fusion  Across Scales for Clinical Decision Support (ML-CDS 2022)  and the 2nd International Workshop on Topological Data  Analysis for Biomedical Imaging (TDA4BiomedicalImaging  2022), held in conjunction with the 25th International  Conference on Medical Imaging and Computer-Assisted  Intervention, MICCAI 2022, in Singapore, in September 2022.  EPIMI includes five short papers about various humanistic  aspects of medical image computing and computer-assisted  interventions. The ML-CDS papers discuss machine learning  on multimodal data sets for clinical decision support and  treatment planning. The TDA papers focus on Topological  Data Analysis: a collection of techniques and tools that  have matured from an increasing interest in the role  topology plays in machine learning and data science.},
      url = {http://library.usi.edu/record/1452065},
      doi = {https://doi.org/10.1007/978-3-031-23223-7},
}