output
20182026
most citedDeep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

41 citations

8 papers

cs.LG2026

Evaluating the trustworthiness of the Fréchet Inception Distance with stochastic embedding representations

Ciaran Bench, Vivek Desai, Carlijn Roozemond +2

Feature embeddings acquired from pretrained models are widely used in medical applications of deep learning to assess the characteristics of datasets; e.g. to determine the quality…

eess.IV2025

Technical specification of a framework for the collection of clinical images and data

Alistair Mackenzie, Mark Halling-Brown, Ruben van Engen +4

In this report a framework for the collection of clinical images and data for use when training and validating artificial intelligence (AI) tools is described. The report contains…

eess.IV2025★ 1 cited

Survey of image processing settings used for mammography systems in the United Kingdom: how variable is it?

Alistair Mackenzie, John Loveland, Ruben van Engen

The aim was to undertake a national survey of the setup of mammography imaging systems in the UK, we were particularly interested in image processing and software version. We creat…

cs.CL2023★ 1 cited

Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications

Simone Wills, Yu Bai, Cristian Tejedor-Garcia +2

Voicebots have provided a new avenue for supporting the development of language skills, particularly within the context of second language learning. Voicebots, though, have largely…

cs.HC2021★ 5 cited

Design Your Life: User-Initiated Design of Technology to Support Independent Living of Young Autistic Adults

Thijs Waardenburg, Niels van Huizen, Jelle van Dijk +4

This paper describes the development of and first experiences with 'Design Your Life': a novel method aimed at user-initiated design of technologies supporting young autistic adult…

physics.med-ph2020★ 41 cited

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

Jonas Teuwen, Nikita Moriakov, Christian Fedon +7

The two-dimensional nature of mammography makes estimation of the overall breast density challenging, and estimation of the true patient-specific radiation dose impossible. Digital…