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Albert Rosenberger

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Articles 113
Citations 2969
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Recent Articles
1.
Rosenberger A, Bickeboller H, Christiani D, Liu G, Schabath M, Duarte L, et al.
Cancer Med . 2024 Aug; 13(16):e70126. PMID: 39194344
Background: Radon is a radioactive gas and a major risk factor for lung cancer (LC). Methods: We investigated the dose-response relationship between radon and LC risk in the International Lung...
2.
Winkler J, Kommoss K, Toberer F, Enk A, Maul L, Navarini A, et al.
Eur J Cancer . 2024 Mar; 202:114026. PMID: 38547776
Importance: Total body photography for skin cancer screening is a well-established tool allowing documentation and follow-up of the entire skin surface. Artificial intelligence-based systems are increasingly applied for automated lesion...
3.
Rosenberger A, Crossland R, Dressel R, Kube D, Wolff D, Wulf G, et al.
Front Immunol . 2024 Feb; 15:1280876. PMID: 38384455
Introduction: Data on genomic susceptibility for adverse outcomes after hematopoietic stem cell transplantation (HSCT) for recipients are scarce. Methods: We performed a genome wide association study (GWAS) to identify genes...
4.
Luyapan J, Bosse Y, Li Z, Xiao X, Rosenberger A, Hung R, et al.
Hum Mol Genet . 2023 Jul; 32(18):2842-2855. PMID: 37471639
Pulmonary surfactant is a lipoprotein synthesized and secreted by alveolar type II cells in lung. We evaluated the associations between 200,139 single nucleotide polymorphisms (SNPs) of 40 surfactant-related genes and...
5.
Winkler J, Blum A, Kommoss K, Enk A, Toberer F, Rosenberger A, et al.
JAMA Dermatol . 2023 May; 159(6):621-627. PMID: 37133847
Importance: Studies suggest that convolutional neural networks (CNNs) perform equally to trained dermatologists in skin lesion classification tasks. Despite the approval of the first neural networks for clinical use, prospective...
6.
Kommoss K, Winkler J, Mueller-Christmann C, Bardehle F, Toberer F, Stolz W, et al.
Eur J Cancer . 2023 Mar; 185:53-60. PMID: 36963352
Background: The clinical diagnosis of face and scalp lesions (FSL) is challenging due to overlapping features. Dermatologists encountering diagnostically 'unclear' lesions may benefit from artificial intelligence support via convolutional neural...
7.
Thormann K, Tozzi V, Starke P, Bickeboller H, Baum M, Rosenberger A
BMC Bioinformatics . 2022 Aug; 23(1):316. PMID: 35927623
Background: ImputAccur is a software tool to measure genotype-imputation accuracy. Imputation of untyped markers is a standard approach in genome-wide association studies to close the gap between directly genotyped and...
8.
Yang W, Liu H, Zhang R, Freedman J, Han Y, Hung R, et al.
NPJ Precis Oncol . 2022 Jun; 6(1):48. PMID: 35773316
Limited efforts have been made in assessing the effect of genome-wide profiling of RNA splicing-related variation on lung cancer risk. In the present study, we first identified RNA splicing-related genetic...
9.
Klein N, Entwistle A, Rosenberger A, Kneib T, Bickeboller H
J Appl Stat . 2022 Jun; 47(11):2066-2080. PMID: 35707573
In this paper, we propose the class of generalized additive models for location, scale and shape in a test for the association of genetic markers with non-normally distributed phenotypes comprising...
10.
Sies K, Winkler J, Fink C, Bardehle F, Toberer F, Buhl T, et al.
Eur J Cancer . 2022 Feb; 164:88-94. PMID: 35182926
Background: Advances in biomedical artificial intelligence may introduce or perpetuate sex and gender discriminations. Convolutional neural networks (CNN) have proven a dermatologist-level performance in image classification tasks but have not...