most citedA generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2020

Measuring agreement on linguistic expressions in medical treatment scenarios

J Navrro, C Wagner, Uwe Aickelin +2

Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients' perceptions of their functional status and well-being are import…

cs.HC2020

Capturing Richer Information -- On Establishing the Validity of an Interval-Valued Survey Response Mode

Zack Ellerby, Christian Wagner, Stephen Broomell

Obtaining quantitative survey responses that are both accurate and informative is crucial to a wide range of fields. Traditional and ubiquitous response formats such as Likert and…

cs.CV20201 cited

A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation

Ruizhe Li, Dorothee Auer, Christian Wagner +1

Deep learning based image segmentation has achieved the state-of-the-art performance in many medical applications such as lesion quantification, organ detection, etc. However, most…

cs.AI2019

Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets

Javier Navarro, Christian Wagner

Recently, there has been much research into modelling of uncertainty in human perception through Fuzzy Sets (FSs). Most of this research has focused on allowing respondents to expr…

cs.MA2019

Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health

Daniel Stroud, Christian Wagner, Peer-Olaf Siebers

The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are sto…