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Stefan Heldmann

Explore the profile of Stefan Heldmann including associated specialties, affiliations and a list of published articles. Areas
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Articles 23
Citations 283
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Recent Articles
11.
Weber C, Kramer J, Wittayer M, Gregori J, Randoll S, Weiler F, et al.
Eur Radiol . 2021 Sep; 32(3):2012-2022. PMID: 34549326
Objectives: In multiple sclerosis (MS), iron rim lesions (IRLs) are indicators of chronic low-grade inflammation and ongoing tissue destruction. The aim of this study was to assess the relationship of...
12.
Jackle S, Lange A, Garcia-Vazquez V, Eixmann T, Matysiak F, Sieren M, et al.
Int J Med Robot . 2021 Sep; 17(6):e2327. PMID: 34480406
Background: In endovascular aneuysm repair (EVAR) procedures, medical instruments are currently navigated with a two-dimensional imaging based guidance requiring X-rays and contrast agent. Methods: Novel approaches for obtaining the three-dimensional...
13.
Hering A, Hager S, Moltz J, Lessmann N, Heldmann S, van Ginneken B
Med Image Anal . 2021 Jul; 72:102139. PMID: 34216959
Deep-learning-based registration methods emerged as a fast alternative to conventional registration methods. However, these methods often still cannot achieve the same performance as conventional registration methods because they are either...
14.
Borovec J, Kybic J, Arganda-Carreras I, Sorokin D, Bueno G, Khvostikov A, et al.
IEEE Trans Med Imaging . 2020 Apr; 39(10):3042-3052. PMID: 32275587
Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to compare the performance of image registration algorithms on several kinds of microscopy histology images in a fair and independent manner....
15.
Hering A, Kuckertz S, Heldmann S, Heinrich M
Int J Comput Assist Radiol Surg . 2019 Sep; 14(11):1901-1912. PMID: 31538274
PURPOSE : Despite its potential for improvements through supervision, deep learning-based registration approaches are difficult to train for large deformations in 3D scans due to excessive memory requirements. METHODS :...
16.
Grob D, Oostveen L, Ruhaak J, Heldmann S, Mohr B, Michielsen K, et al.
Med Phys . 2019 Mar; 46(5):2264-2274. PMID: 30888690
Purpose: The purpose of this study was to assess, using an anthropomorphic digital phantom, the accuracy of algorithms in registering precontrast and contrast-enhanced computed tomography (CT) chest images for generation...
17.
Ruhaak J, Polzin T, Heldmann S, Simpson I, Handels H, Modersitzki J, et al.
IEEE Trans Med Imaging . 2017 Apr; 36(8):1746-1757. PMID: 28391192
We present a novel algorithm for the registration of pulmonary CT scans. Our method is designed for large respiratory motion by integrating sparse keypoint correspondences into a dense continuous optimization...
18.
Lotz J, Hoffmann F, Lotz J, Heldmann S, Trede D, Oetjen J, et al.
Biochim Biophys Acta Proteins Proteom . 2016 Sep; 1865(7):946-956. PMID: 27594533
In the last years, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) became an imaging technique which has the potential to characterize complex tumor tissue. The combination with other modalities...
19.
Oetjen J, Aichler M, Trede D, Strehlow J, Berger J, Heldmann S, et al.
J Proteomics . 2013 Apr; 90:52-60. PMID: 23558029
Biological Significance: Our novel experimental and computational pipeline for 3D MALDI-imaging can be applied to address clinical questions such as proteomic analysis of the tumor morphologic heterogeneity. Examining the protein...
20.
Thiele H, Heldmann S, Trede D, Strehlow J, Wirtz S, Dreher W, et al.
Biochim Biophys Acta . 2013 Mar; 1844(1 Pt A):117-37. PMID: 23467008
3D imaging has a significant impact on many challenges in life sciences, because biology is a 3-dimensional phenomenon. Current 3D imaging-technologies (various types MRI, PET, SPECT) are labeled, i.e. they...