Nadia Magnenat-Thalmann (ed.); Constantine Stephanidis (ed.); Enhua Wu (ed.); Daniel Thalmann (ed.); Bin Sheng (ed.); Kim Springer (2020) Pehmeäkantinen kirja
Nadia Magnenat-Thalmann (ed.); Victoria Interrante (ed.); Daniel Thalmann (ed.); George Papagiannakis (ed.); Bin (ed. Sheng Springer (2021) Pehmeäkantinen kirja
Nadia Magnenat-Thalmann; Jian Zhang; Jinman Kim; George Papagiannakis; Bin Sheng; Daniel Thalmann; Marina Gavrilova Springer International Publishing AG (2023) Pehmeäkantinen kirja
Nadia Magnenat-Thalmann (ed.); Jinman Kim (ed.); Bin Sheng (ed.); Zhigang Deng (ed.); Daniel Thalmann (ed.); Ping Li (ed.) Springer (2025) Pehmeäkantinen kirja
Nadia Magnenat-Thalmann (ed.); Jinman Kim (ed.); Bin Sheng (ed.); Zhigang Deng (ed.); Daniel Thalmann (ed.); Ping Li (ed.) Springer (2025) Pehmeäkantinen kirja
Nadia Magnenat-Thalmann (ed.); Jinman Kim (ed.); Bin Sheng (ed.); Zhigang Deng (ed.); Daniel Thalmann (ed.); Ping Li (ed.) Springer (2025) Pehmeäkantinen kirja
Nadia Magnenat Thalmann (ed.); Xinrong Hu (ed.); Bin Sheng (ed.); Daniel Thalmann (ed.); Tao Peng (ed.); Weiliang (e Meng Springer (2025) Pehmeäkantinen kirja
Nadia Magnenat Thalmann (ed.); Xinrong Hu (ed.); Bin Sheng (ed.); Daniel Thalmann (ed.); Tao Peng (ed.); Weiliang (e Meng Springer (2025) Pehmeäkantinen kirja
This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022.
The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges:
The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
