Bin Sheng (ed.); Lei Bi (ed.); Jinman Kim (ed.); Nadia Magnenat-Thalmann (ed.); Daniel Thalmann (ed.) Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Bin Sheng (ed.); Lei Bi (ed.); Jinman Kim (ed.); Nadia Magnenat-Thalmann (ed.); Daniel Thalmann (ed.) Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Bin Sheng (ed.); Lei Bi (ed.); Jinman Kim (ed.); Nadia Magnenat-Thalmann (ed.); Daniel Thalmann (ed.) Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Bin Sheng (ed.); Lei Bi (ed.); Jinman Kim (ed.); Nadia Magnenat-Thalmann (ed.); Daniel Thalmann (ed.) Springer (2024) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Nadia Magnenat-Thalmann; Constantine Stephanidis; Enhua Wu; Daniel Thalmann; Bin Sheng; Jinman Kim; George Papagiannakis Springer Nature Switzerland AG (2020) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Nadia Magnenat-Thalmann; Victoria Interrante; Daniel Thalmann; George Papagiannakis; Bin Sheng; Jinman Kim; Mar Gavrilova Springer Nature Switzerland AG (2021) Saatavuus: Tilaustuote Pehmeäkantinen kirja
M.A. Jabbar; MVV Prasad Kantipudi; Sheng-Lung Peng; Mamun Bin Ibne Reaz; Ana Maria Madureira River Publishers (2021) Saatavuus: Tilaustuote Kovakantinen kirja
Nadia Magnenat-Thalmann; Jian Zhang; Jinman Kim; George Papagiannakis; Bin Sheng; Daniel Thalmann; Marina Gavrilova Springer International Publishing AG (2023) Saatavuus: Tilaustuote Pehmeäkantinen kirja
M.A. Jabbar; MVV Prasad Kantipudi; Sheng-Lung Peng; Mamun Bin Ibne Reaz; Ana Maria Madureira River Publishers (2024) Saatavuus: Tulossa! 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.
