Lisa Koch (ed.) | Akateeminen Kirjakauppa

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DOMAIN ADAPTATION AND REPRESENTATION TRANSFER : 5TH MICCAI WORKSHOP, DART 2023, HELD IN CONJUNCTION WITH MICCAI 2023, VANCOUVER,

Lisa Koch (ed.); M. Jorge Cardoso (ed.); Enzo Ferrante (ed.); Konstantinos Kamnitsas (ed.); Mobarakol Islam (ed.); M Jiang
Springer (2023)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

W TUNGSTEN : SUPPLEMENT VOLUME A 5 B METAL, CHEMICAL REACTIONS WITH NONMETALS NITROGEN TO ARSENIC

Hermann Jehn; Jörn v. Jouanne (ed.); Gudrun Bär; Elisabeth Koch (ed.); Erich Best; Ernst Koch (ed.); Ernst Koch
Springer (2013)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

68,20 €

DOMAIN ADAPTATION AND REPRESENTATION TRANSFER : 4TH MICCAI WORKSHOP, DART 2022, HELD IN CONJUNCTION WITH MICCAI 2022, SINGAPORE,

Konstantinos Kamnitsas (ed.); Lisa Koch (ed.); Mobarakol Islam (ed.); Ziyue Xu (ed.); Jorge Cardoso (ed.); Qi Dou (ed.)
Springer (2022)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

54,40 €

Domain Adaptation and Representation Transfer : 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver,

Lisa Koch (ed.), M. Jorge Cardoso (ed.), Enzo Ferrante (ed.), Konstantinos Kamnitsas (ed.), Mobarakol Islam (ed.), M Jiang

49,60 €

Springer
Sivumäärä: 170 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 14.10.2023 (lisätietoa)
Kieli: Englanti

This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023.

The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.

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