Andre Homeyer
Overview
Explore the profile of Andre Homeyer including associated specialties, affiliations and a list of published articles.
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28
Citations
377
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Recent Articles
1.
Zerbe N, Schwen L, Geissler C, Wiesemann K, Bisson T, Boor P, et al.
J Pathol Inform
. 2024 Jul;
15:100387.
PMID: 38984198
Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numerous challenges, including technical and regulatory...
2.
Fedorov A, R Longabaugh W, Pot D, Clunie D, Pieper S, Gibbs D, et al.
Radiographics
. 2023 Nov;
43(12):e230180.
PMID: 37999984
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis of biomedical imaging data. Development, validation, and continuous refinement of AI tools...
3.
Schacherer D, Herrmann M, Clunie D, Hofener H, Clifford W, R Longabaugh W, et al.
Comput Methods Programs Biomed
. 2023 Oct;
242:107839.
PMID: 37832430
Background And Objectives: Reproducibility is a major challenge in developing machine learning (ML)-based solutions in computational pathology (CompPath). The NCI Imaging Data Commons (IDC) provides >120 cancer image collections according...
4.
Schwen L, Kiehl T, Carvalho R, Zerbe N, Homeyer A
Lab Invest
. 2023 Sep;
103(11):100244.
PMID: 37657651
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing laboratory efficiency, but the digitization process also involves major challenges. Several reports have been published describing the...
5.
Homeyer A, Geissler C, Schwen L, Zakrzewski F, Evans T, Strohmenger K, et al.
Mod Pathol
. 2022 Sep;
35(12):2034.
PMID: 36151301
No abstract available.
6.
Homeyer A, Geissler C, Schwen L, Zakrzewski F, Evans T, Strohmenger K, et al.
Mod Pathol
. 2022 Sep;
35(12):1759-1769.
PMID: 36088478
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to routine use, it is important to evaluate their...
7.
Romberg D, Strohmenger K, Jansen C, Kuster T, Weiss N, Geissler C, et al.
Comput Methods Programs Biomed
. 2021 Dec;
215:106596.
PMID: 34968788
Background And Objective: Artificial intelligence (AI) apps hold great potential to make pathological diagnoses more accurate and time efficient. Widespread use of AI in pathology is hampered by interface incompatibilities...
8.
Fedorov A, R Longabaugh W, Pot D, Clunie D, Pieper S, Aerts H, et al.
Cancer Res
. 2021 Jun;
81(16):4188-4193.
PMID: 34185678
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported...
9.
Hua C, Wei W, Zhang T, Xu F, Dirsch O, Homeyer A, et al.
Sci Rep
. 2021 Jun;
11(1):11740.
PMID: 34083554
Portal vein ligation (PVL) has been adopted to induce hypertrophy of the future liver remnant (FLR) in patients with primarily irresectable liver tumor. However, regeneration of the FLR is not...
10.
Homeyer A, Lotz J, Schwen L, Weiss N, Romberg D, Hofener H, et al.
J Pathol Inform
. 2021 May;
12:13.
PMID: 34012717
Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands...