@article{1481318, recid = {1481318}, author = {Greenspan, Hayit, and Madabhushi, Anant, and Mousavi, Parvin, and Salcudean, Septimiu Edmund, and Duncan, James, and Syeda-Mahmood, Tanveer, and Taylor, Russell,}, title = {Medical image computing and computer assisted intervention – MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings., Part I /. International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages = {1 online resource (xxxviii, 785 pages) :}, note = {Includes author index.}, abstract = {The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning - transfer learning; Part II: Machine learning -- learning strategies; machine learning -- explainability, bias, and uncertainty; Part III: Machine learning -- explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications -- abdomen; clinical applications -- breast; clinical applications -- cardiac; clinical applications -- dermatology; clinical applications -- fetal imaging; clinical applications -- lung; clinical applications -- musculoskeletal; clinical applications -- oncology; clinical applications -- ophthalmology; clinical applications -- vascular; Part VIII: Clinical applications -- neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.}, url = {http://library.usi.edu/record/1481318}, doi = {https://doi.org/10.1007/978-3-031-43907-0}, }