Can Zhao | Akateeminen Kirjakauppa

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SIMULATION AND SYNTHESIS IN MEDICAL IMAGING - 5TH INTERNATIONAL WORKSHOP, SASHIMI 2020, HELD IN CONJUNCTION WITH MICCAI 2020, LI

Ninon Burgos; David Svoboda; Jelmer M. Wolterink; Can Zhao
Springer Nature Switzerland AG (2020)
Pehmeäkantinen kirja

51,40 €

SIMULATION AND SYNTHESIS IN MEDICAL IMAGING : 7TH INTERNATIONAL WORKSHOP, SASHIMI 2022, HELD IN CONJUNCTION WITH MICCAI 2022, SI

Can Zhao (ed.); David Svoboda (ed.); Jelmer M. Wolterink (ed.); Maria Escobar (ed.)
Springer (2022)
Pehmeäkantinen kirja

56,40 €

SIMULATION AND SYNTHESIS IN MEDICAL IMAGING - 6TH INTERNATIONAL WORKSHOP, SASHIMI 2021, HELD IN CONJUNCTION WITH MICCAI 2021, ST

David Svoboda; Ninon Burgos; Jelmer M. Wolterink; Can Zhao
Springer Nature Switzerland AG (2021)
Pehmeäkantinen kirja

56,40 €

SIMULATION AND SYNTHESIS IN MEDICAL IMAGING : 8TH INTERNATIONAL WORKSHOP, SASHIMI 2023, HELD IN CONJUNCTION WITH MICCAI 2023, VA

Jelmer M. Wolterink (ed.); David Svoboda (ed.); Can Zhao (ed.); Virginia Fernandez (ed.)
Springer (2023)
Pehmeäkantinen kirja

51,40 €

NEW TECHNOLOGIES APPLIED IN GOBI DESERT FACILITY AGRICULTURE : SENSING AND AUTONOMOUS TECHNIQUES

Can Hu (ed.); Long Wang (ed.); Jianfei Xing (ed.); Xufeng Wang (ed.); Zhao Zhang (ed.)
Springer (2025)
Kovakantinen kirja

152,40 €

Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Li

Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao

51,40 €

Springer Nature Switzerland AG
Sivumäärä: 196 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2020
Julkaisuvuosi: 2020, 21.09.2020 (lisätietoa)
Kieli: Englanti
Tuotesarja: Image Processing, Computer Vision, Pattern Recognition, and Graphics

This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.

The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.

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