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Charlotte Högberg

ResearcherPublications, citations & collaboration network

Charlotte Högberg is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 17 works, 607 citations, an h-index of 5 and an i10-index of 4.

17
Works
607
Citations
5
h-index
4
i10-index

How has Charlotte Högberg's publication output changed over time?

ScholarIQpublication output · 2023–2025

Output declined83% over the shown period — from 6 works in 2023 to 1 in 2025.

6
3
1
202320242025

What are the most-cited papers on Charlotte Högberg?

ScholarIQmost cited works
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study
Kristina Lång, Viktoria Josefsson, Anna-Maria Larsson, Stefan Larsson, Charlotte Högberg, Hanna Sartor, Solveig Hofvind, Ingvar Andersson, Aldana Rosso
The Lancet Oncology. 2023540 CitationsOPEN ACCESS
Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists
Charlotte Högberg, Stefan Larsson, Kristina Lång
BMJ Health & Care Informatics. 202324 CitationsOPEN ACCESS
Stabilizing translucencies: Governing AI transparency by standardization
Charlotte Högberg
S2736409588. 202418 CitationsOPEN ACCESS
Four facets of AI transparency
Stefan Larsson, Kashyap Haresamudram, Charlotte Högberg, Yucong Lao, Axel Nyström, Kasia Söderlund
S4306463223. 20237 CitationsOPEN ACCESS

Related on ScholarIQ

Lund University
Institution
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study
Paper
Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists
Paper
Stabilizing translucencies: Governing AI transparency by standardization
Paper
Engaging with artificial intelligence in mammography screening: Swedish breast radiologists’ views on trust, information and expertise
Paper
Four facets of AI transparency
Paper
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