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; Tal Arbel; Su-Lin Lee; Veronika Cheplygina; Simone Balocco; Diana Mateus; Guillaume Zahnd; Maier-Hein
Springer International Publishing AG (2017)
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)
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; Ghada Zamzmi; Aasa Feragen; Andrew P. King; Veronika Cheplygina; Melanie Ganz-Benjaminsen; E Ferrante
Springer International Publishing AG (2024)
Pehmeäkantinen kirja

49,60 €

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

M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Maier-Hein

49,60 €

Springer International Publishing AG
Sivumäärä: 166 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2017
Julkaisuvuosi: 2017, 08.09.2017 (lisätietoa)
Kieli: Englanti
Tuotesarja: Image Processing, Computer Vision, Pattern Recognition, and Graphics

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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