Veronika Cheplygina | Akateeminen Kirjakauppa

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INTRAVASCULAR IMAGING AND COMPUTER ASSISTED STENTING, AND LARGE-SCALE ANNOTATION OF BIOMEDICAL DATA AND EXPERT LABEL SYNTHESIS :

M. Jorge Cardoso (ed.); Tal Arbel (ed.); Su-Lin Lee (ed.); Veronika Cheplygina (ed.); Simone Balocco (ed.); Diana ( Mateus
Springer (2017)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

LARGE-SCALE ANNOTATION OF BIOMEDICAL DATA AND EXPERT LABEL SYNTHESIS AND HARDWARE AWARE LEARNING FOR MEDICAL IMAGING AND COMPUTE

Luping Zhou; Nicholas Heller; Yiyu Shi; Yiming Xiao; Raphael Sznitman; Veronika Cheplygina; Diana Mateus; Emanuel Trucco
Springer Nature Switzerland AG (2019)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

ETHICS AND FAIRNESS IN MEDICAL IMAGING - SECOND INTERNATIONAL WORKSHOP ON FAIRNESS OF AI IN MEDICAL IMAGING, FAIMI 2024, AND THI

Esther Puyol-Antón; Zamzmi Ghada; Aasa Feragen; Andrew P. King; Veronika Cheplygina; Melani Ganz-Benjaminsen; En Ferrante
Springer International Publishing AG (2024)
Saatavuus: Tulossa!
Pehmeäkantinen kirja

57,30 €

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis :

M. Jorge Cardoso (ed.), Tal Arbel (ed.), Su-Lin Lee (ed.), Veronika Cheplygina (ed.), Simone Balocco (ed.), Diana ( Mateus

49,60 €

Springer
Sivumäärä: 166 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2017, 08.09.2017 (lisätietoa)
Kieli: Englanti

This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.

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