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Stefan Heldmann

Explore the profile of Stefan Heldmann including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 23
Citations 283
Followers 0
Related Specialties
Radiology
General Surgery
Biochemistry
Top 10 Co-Authors
Jan Klein
Johannes Lotz
Janina Oetjen
Herbert Thiele
Dennis Trede
Alessa Hering
Mattias P Heinrich
Jan Strehlow
Nick Weiss
Stefan Wirtz
Published In
Int J Comput Assist Radiol Surg
IEEE Trans Med Imaging
J Med Imaging (Bellingham)
Front Neuroimaging
Med Image Anal
Affiliations
Soon will be listed here.
Recent Articles
1.
Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scans
Walluscheck S, Gerken A, Galinovic I, Villringer K, Fiebach J, Klein J, et al.
J Med Imaging (Bellingham) . 2024 Aug; 11(4):044508. PMID: 39131566
Purpose: To help radiologists examine the growing number of computed tomography (CT) scans, automatic anomaly detection is an ongoing focus of medical imaging research. Radiologists must analyze a CT scan...
2.
Learning three-dimensional aortic root assessment based on sparse annotations
Brosig J, Kruger N, Khasyanova I, Wamala I, Ivantsits M, Sundermann S, et al.
J Med Imaging (Bellingham) . 2024 Aug; 11(4):044504. PMID: 39087084
Purpose: Analyzing the anatomy of the aorta and left ventricular outflow tract (LVOT) is crucial for risk assessment and planning of transcatheter aortic valve implantation (TAVI). A comprehensive analysis of...
3.
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
Weitz P, Valkonen M, Solorzano L, Carr C, Kartasalo K, Boissin C, et al.
Med Image Anal . 2024 Jul; 97:103257. PMID: 38981282
The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability of large WSI datasets have revolutionised WSI analysis....
4.
Comparison of consecutive and restained sections for image registration in histopathology
Lotz J, Weiss N, van der Laak J, Heldmann S
J Med Imaging (Bellingham) . 2023 Dec; 10(6):067501. PMID: 38074626
Significance: Although the registration of restained sections allows nucleus-level alignment that enables a direct analysis of interacting biomarkers, consecutive sections only allow the transfer of region-level annotations. The latter can...
5.
Assessing Osteolytic Lesion Size on Sequential CT Scans Is a Reliable Study Endpoint for Bone Remineralization in Newly Diagnosed Multiple Myeloma
Grunz J, Kunz A, Baumann F, Hasenclever D, Sieren M, Heldmann S, et al.
Cancers (Basel) . 2023 Aug; 15(15). PMID: 37568823
Multiple myeloma (MM) frequently induces persisting osteolytic manifestations despite hematologic treatment response. This study aimed to establish a biometrically valid study endpoint for bone remineralization through quantitative and qualitative analyses...
6.
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment
Canalini L, Klein J, Waldmannstetter D, Kofler F, Cerri S, Hering A, et al.
Front Neuroimaging . 2023 Aug; 1:977491. PMID: 37555157
Registration methods facilitate the comparison of multiparametric magnetic resonance images acquired at different stages of brain tumor treatments. Image-based registration solutions are influenced by the sequences chosen to compute the...
7.
Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies
Gerken A, Walluscheck S, Kohlmann P, Galinovic I, Villringer K, Fiebach J, et al.
Front Neuroimaging . 2023 Aug; 2:1228255. PMID: 37554647
Introduction: The automatic segmentation of brain parenchyma and cerebrospinal fluid-filled spaces such as the ventricular system is the first step for quantitative and qualitative analysis of brain CT data. For...
8.
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs
Walluscheck S, Canalini L, Strohm H, Diekmann S, Klein J, Heldmann S
Int J Comput Assist Radiol Surg . 2022 Nov; 18(3):483-491. PMID: 36334164
Purpose: Computed tomography (CT) is widely used to identify anomalies in brain tissues because their localization is important for diagnosis and therapy planning. Due to the insufficient soft tissue contrast...
9.
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
Hering A, Hansen L, Mok T, Chung A, Siebert H, Hager S, et al.
IEEE Trans Med Imaging . 2022 Oct; 42(3):697-712. PMID: 36264729
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches...
10.
In-vivo assessment of meniscal movement in the knee joint during internal and external rotation under load
Fuchs A, Georgii J, Taghizadeh E, Heldmann S, Lange T, Bendak S, et al.
J Exp Orthop . 2022 Oct; 9(1):102. PMID: 36192527
Purpose: The menisci transmit load between femur and tibia and thus play a crucial role in the functionality of the knee joint. Knee joint movements have a major impact on...