M. Jorge Cardoso; Tal Arbel; Enzo Ferrante; Xavier Pennec; Adrian Dalca; Sarah Parisot; Sarang Joshi; Nema Batmanghelich Springer International Publishing AG (2017) Pehmeäkantinen kirja
Carole H. Sudre; Roxane Licandro; Christian Baumgartner; Andrew Melbourne; Adrian Dalca; Jana Hutter; Ryutaro Tanno; Abac Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Danail Stoyanov; Zeike Taylor; Enzo Ferrante; Adrian V. Dalca; Anne Martel; Lena Maier-Hein; Sarah Parisot; Aris Sotiras Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Hayit Greenspan; Ryutaro Tanno; Marius Erdt; Tal Arbel; Christian Baumgartner; Adrian Dalca; Carole H. Sudre; Will Wells Springer Nature Switzerland AG (2019) Pehmeäkantinen kirja
Carole H. Sudre; Hamid Fehri; Tal Arbel; Christian F. Baumgartner; Adrian Dalca; Ryutaro Tanno; Koen Van Leemput; Wells Springer Nature Switzerland AG (2020) Pehmeäkantinen kirja
Carole H. Sudre (ed.); Christian F. Baumgartner (ed.); Adrian Dalca (ed.); Chen Qin (ed.); Ryutaro Tanno (ed.); Van Leemput Springer (2022) Pehmeäkantinen kirja
Carole H. Sudre (ed.); Christian F. Baumgartner (ed.); Adrian Dalca (ed.); Raghav Mehta (ed.); Chen Qin (ed.); Willi Wells Springer (2023) Pehmeäkantinen kirja
This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
