Annette Kopp-Schneider
Overview
Explore the profile of Annette Kopp-Schneider including associated specialties, affiliations and a list of published articles.
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175
Citations
2876
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Recent Articles
1.
Karpova D, Huerga Encabo Dr H, Donato E, Calderazzo S, Scherer M, Llorian-Sopena M, et al.
Blood
. 2025 Mar;
PMID: 40067117
Donor blood saves lives, yet the potential impact of recurrent large-volume phlebotomy on donor health and hematopoietic stem cells (HSCs) remains largely unexplored. In our study, we conducted a comprehensive...
2.
Sachpekidis C, Enqvist O, Ulen J, Kopp-Schneider A, Pan L, Mai E, et al.
Eur J Nucl Med Mol Imaging
. 2025 Feb;
PMID: 39984746
No abstract available.
3.
Brenner H, Holland-Letz T, Kopp-Schneider A, Heisser T, Hoffmeister M
Cancer Commun (Lond)
. 2024 Dec;
PMID: 39679861
No abstract available.
4.
Grozinger M, Wennmann M, Sawall S, Wehrse E, Sedaghat S, Neelsen C, et al.
Radiologie (Heidelb)
. 2024 Jul;
64(Suppl 1):24-31.
PMID: 39020050
Background: A recent innovation in computed tomography (CT) imaging has been the introduction of photon-counting detector CT (PCD-CT) systems, which are able to register the number and the energy level...
5.
Allard P, Tagliaferri L, Weru V, Cario H, Lobitz S, Grosse R, et al.
Eur J Haematol
. 2024 Jul;
113(4):501-509.
PMID: 38946051
Patients with sickle cell disease (SCD) in Germany exhibit a substantial genetic diversity in the β-globin genotype. Data collected by the national German SCD registry reflect this diversity and allowed...
6.
Sachpekidis C, Enqvist O, Ulen J, Kopp-Schneider A, Pan L, Mai E, et al.
Eur J Nucl Med Mol Imaging
. 2024 Mar;
51(8):2293-2307.
PMID: 38456971
Purpose: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding...
7.
Maier-Hein L, Reinke A, Godau P, Tizabi M, Buettner F, Christodoulou E, et al.
Nat Methods
. 2024 Feb;
21(2):195-212.
PMID: 38347141
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest,...
8.
Reinke A, Tizabi M, Baumgartner M, Eisenmann M, Heckmann-Notzel D, Kavur A, et al.
Nat Methods
. 2024 Feb;
21(2):182-194.
PMID: 38347140
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image...
9.
Pepic A, Stark M, Friede T, Kopp-Schneider A, Calderazzo S, Reichert M, et al.
Stat Methods Med Res
. 2024 Feb;
33(3):433-448.
PMID: 38327081
The development process of medical devices can be streamlined by combining different study phases. Here, for a diagnostic medical device, we present the combination of confirmation of diagnostic accuracy (phase...
10.
Calderazzo S, Wiesenfarth M, Kopp-Schneider A
Biom J
. 2023 Dec;
66(1):e2200322.
PMID: 38063813
Bayesian clinical trials can benefit from available historical information through the specification of informative prior distributions. Concerns are however often raised about the potential for prior-data conflict and the impact...