scholarly journals Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina

2019 ◽  
Vol 11 (1) ◽  
pp. 346 ◽  
Author(s):  
David Romo-Bucheli ◽  
Philipp Seeböck ◽  
José Ignacio Orlando ◽  
Bianca S. Gerendas ◽  
Sebastian M. Waldstein ◽  
...  
Keyword(s):  
Author(s):  
Ricardo Augusto Borsoi ◽  
Clemence Prevost ◽  
Konstantin Usevich ◽  
David Brie ◽  
Jose Carlos M. Bermudez ◽  
...  

Perception ◽  
2021 ◽  
pp. 030100662110197
Author(s):  
Taylor Gogan ◽  
Jennifer Beaudry ◽  
Julian Oldmeadow

Perceptions of an individual can change dramatically across different images of their face. Questions remain as to whether some traits are more sensitive to image variability than others. To investigate this issue, we constructed a database of 340 naturalistic images consisting of 20 photos of 17 individuals. In this preregistered study, 95 participants rated all 340 images on one of three traits: trustworthiness, dominance, or attractiveness. Across images, participants’ trustworthiness ratings tended to vary more than dominance, which in turn varied more than attractiveness; however, the relative differences between traits depended on the identity in question. Importantly, despite the variability in ratings within identities, there were substantial differences between individuals, suggesting that these trait judgements are based to some degree on relatively invariant facial characteristics. We found greater between-identity variability for attractiveness judgements compared to trustworthiness and dominance. Future research should further investigate the extent to which each trait dimension is tied to the identity of the faces.


2020 ◽  
Vol 9 (3) ◽  
pp. 410-418
Author(s):  
Stefana Juncu ◽  
Hartmut Blank ◽  
Ryan J. Fitzgerald ◽  
Lorraine Hope

2011 ◽  
Vol 33 (10) ◽  
pp. 2334-2349 ◽  
Author(s):  
Nicolas Davidenko ◽  
David A. Remus ◽  
Kalanit Grill-Spector
Keyword(s):  

2021 ◽  
Vol 21 (9) ◽  
pp. 2082
Author(s):  
Samantha Mugavin ◽  
Simone Favelle ◽  
Amy Chan ◽  
Niamh Kirk
Keyword(s):  

2020 ◽  
Vol 11 (2) ◽  
pp. 167-174
Author(s):  
Anna Uriadova

The article discusses historical imagology one of the areas of imagology in general. It analyzes the sources, which are essential and most often used in such studies. The historiography of the issue is briefly considered. This article for the first time in the research literature on historical imagology and imagology in general pays special attention to the object and subject of historical imagological works. Several approaches to determining the object of research have been identified. The subject of imagological research is examined in detail. The issue of factors affecting perception is raised. Attention is paid to the problem of image variability and stereotepization.


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