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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Overview of attention for book
Attention for Chapter 2: Quantification of Predictive Uncertainty via Inference-Time Sampling
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1 X user

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Chapter title
Quantification of Predictive Uncertainty via Inference-Time Sampling
Chapter number 2
Book title
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Published in
arXiv, January 2022
DOI 10.1007/978-3-031-16749-2_2
Book ISBNs
978-3-03-116748-5, 978-3-03-116749-2
Authors

Tóthová, Katarína, Ladický, Ľubor, Thul, Daniel, Pollefeys, Marc, Konukoglu, Ender, Katarína Tóthová, Ľubor Ladický, Daniel Thul, Marc Pollefeys, Ender Konukoglu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Business, Management and Accounting 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2023.
All research outputs
#21,689,173
of 24,205,409 outputs
Outputs from arXiv
#763,500
of 1,027,527 outputs
Outputs of similar age
#429,220
of 507,704 outputs
Outputs of similar age from arXiv
#22,426
of 33,139 outputs
Altmetric has tracked 24,205,409 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,527 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 507,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,139 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.