Stefan Wesarg (ed.); Esther Puyol Antón (ed.); John S. H. Baxter (ed.); Marius Erdt (ed.); Klaus Drechsler (ed.); Oyarzun L Springer (2023) Pehmeäkantinen kirja
Yufei Chen; Marius George Linguraru; Raj Shekhar; Stefan Wesarg; Marius Erdt; Klaus Drechsler; Cristina Oyarzun Laura Springer International Publishing AG (2023) Pehmeäkantinen kirja
Klaus Drechsler; Cristina Oyarzun Laura; Moti Freiman; Yufei Chen; Stefan Wesarg; Marius Erdt Springer International Publishing AG (2024) Pehmeäkantinen kirja
Klaus Drechsler; Marius Erdt; Marius George Lingurau; Cristina Oyarzun Laura; Karun Sharma; Raj Shekhar; Stefan Wesarg Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013) Pehmeäkantinen kirja
Raj Shekhar; Stefan Wesarg; Miguel Ángel González Ballester; Klaus Drechsler; Yoshinobu Sato; Marius Erdt; Mari Linguraru Springer International Publishing AG (2016) Pehmeäkantinen kirja
Marius Erdt; Marius George Linguraru; Cristina Oyarzun Laura; Raj Shekhar; Stefan Wesarg; Miguel Angel González Ballester Springer International Publishing AG (2014) 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
This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023.
CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.
For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning.
And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.
