Can Zhao | Akateeminen Kirjakauppa

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

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

56,40 €

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 : 5TH INTERNATIONAL WORKSHOP, SASHIMI 2020, HELD IN CONJUNCTION WITH MICCAI 2020, LI

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

51,40 €

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 : 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, St

David Svoboda (ed.), Ninon Burgos (ed.), Jelmer M. Wolterink (ed.), Can Zhao (ed.)

56,40 €

Springer
Sivumäärä: 154 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2021, 21.09.2021 (lisätietoa)
Kieli: Englanti
Tuotesarja: Image Processing, Computer Vision, Pattern Recognition, and Graphics

This book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*

The 14 full papers presented were carefully reviewed and selected from 18 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/ microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement, or segmentation.

*The workshop was held virtually.

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