Andreas Bucher
Overview
Explore the profile of Andreas Bucher including associated specialties, affiliations and a list of published articles.
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Articles
10
Citations
89
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Recent Articles
1.
Bujotzek M, Akunal U, Denner S, Neher P, Zenk M, Frodl E, et al.
J Am Med Inform Assoc
. 2024 Oct;
32(1):193-205.
PMID: 39455061
Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments due to numerous hurdles impeding its translation...
2.
Meng F, Kottlors J, Shahzad R, Liu H, Fervers P, Jin Y, et al.
Eur Radiol
. 2022 Dec;
33(6):4280-4291.
PMID: 36525088
Objectives: Differentiation between COVID-19 and community-acquired pneumonia (CAP) in computed tomography (CT) is a task that can be performed by human radiologists and artificial intelligence (AI). The present study aims...
3.
Gonzalez C, Gotkowski K, Fuchs M, Bucher A, Dadras A, Fischbach R, et al.
Med Image Anal
. 2022 Sep;
82:102596.
PMID: 36084564
Automatic segmentation of ground glass opacities and consolidations in chest computer tomography (CT) scans can potentially ease the burden of radiologists during times of high resource utilisation. However, deep learning...
4.
Thoenissen P, Bucher A, Burck I, Sader R, Vogl T, Ghanaati S
J Craniofac Surg
. 2022 Jan;
33(4):e439-e443.
PMID: 34980836
Introduction: The diagnosis and therapy of oral squamous cell carcinoma (Osee) in Germany is according to guidelines and relies on interdisciplinary board meetings. Standard examination techniques are computed tomography (CT)...
5.
Meine T, Hinrichs J, Werncke T, Afat S, Biggemann L, Bucher A, et al.
Rofo
. 2021 Nov;
194(3):272-280.
PMID: 34794186
Purpose: Comparison of puncture deviation and puncture duration between computed tomography (CT)- and C-arm CT (CACT)-guided puncture performed by residents in training (RiT). Methods: In a cohort of 25 RiTs...
6.
Filipski K, Scherer M, Zeiner K, Bucher A, Kleemann J, Jurmeister P, et al.
J Immunother Cancer
. 2021 Jul;
9(7).
PMID: 34281986
Background: Therapies based on targeting immune checkpoints have revolutionized the treatment of metastatic melanoma in recent years. Still, biomarkers predicting long-term therapy responses are lacking. Methods: A novel approach of...
7.
Mader C, Bernatz S, Michalik S, Koch V, Martin S, Mahmoudi S, et al.
Acad Radiol
. 2021 Mar;
28(8):1048-1057.
PMID: 33741210
Objectives: To evaluate the potential of a fully automatic artificial intelligence (AI)-driven computed tomography (CT) software prototype to quantify severity of COVID-19 infection on chest CT in relationship with clinical...
8.
Bernatz S, Ackermann J, Mandel P, Kaltenbach B, Zhdanovich Y, Harter P, et al.
Eur Radiol
. 2020 Jul;
30(12):6757-6769.
PMID: 32676784
Objectives: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus insignificant...
9.
Kaup M, Gruber-Rouh T, Scholtz J, Albrecht M, Bucher A, Frellesen C, et al.
Acta Radiol Open
. 2017 Mar;
5(12):2058460116684371.
PMID: 28286671
Background: Computed tomography (CT) low-dose (LD) imaging is used to lower radiation exposure, especially in vascular imaging; in current literature, this is mostly on latest generation high-end CT systems. Purpose:...
10.
Geyer L, Glenn G, De Cecco C, Van Horn M, Canstein C, Silverman J, et al.
Radiology
. 2015 Mar;
276(3):706-14.
PMID: 25786157
Purpose: To use suitable objective methods of analysis to assess the influence of the combination of an integrated-circuit computed tomographic (CT) detector and iterative reconstruction (IR) algorithms on the visualization...