Simon Schallenberg
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Explore the profile of Simon Schallenberg including associated specialties, affiliations and a list of published articles.
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46
Citations
237
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Recent Articles
11.
Fisch A, Pestana A, Sachse V, Doll C, Hofmann E, Heiland M, et al.
Eur J Cancer
. 2024 Oct;
213:115100.
PMID: 39476443
Background: Current treatment for head and neck squamous cell carcinoma (HNSCC) involves surgery, radiotherapy, and chemotherapy. Despite aggressive multimodal approaches, tumour recurrence occurs in 40-60 % of cases, leading to...
12.
Hagele M, Eschrich J, Ruff L, Alber M, Schallenberg S, Guillot A, et al.
Sci Rep
. 2024 Oct;
14(1):24988.
PMID: 39443575
In this paper we present a deep learning segmentation approach to classify and quantify the two most prevalent primary liver cancers - hepatocellular carcinoma and intrahepatic cholangiocarcinoma - from hematoxylin...
13.
Kluth M, Hitzschke M, Furlano K, Plage H, Hofbauer S, Weinberger S, et al.
Genes Chromosomes Cancer
. 2024 Sep;
63(9):e23271.
PMID: 39324446
17p13 deletions including TP53 and other genes represent a common cause for reduced/lost p53 function in tumor cells. In this study, we analyzed the impact of 17p13 (TP53) deletions and...
14.
Dernbach G, Kazdal D, Ruff L, Alber M, Romanovsky E, Schallenberg S, et al.
Eur J Cancer
. 2024 Sep;
211:114292.
PMID: 39276594
Introduction: Molecular profiling of lung cancer is essential to identify genetic alterations that predict response to targeted therapy. While deep learning shows promise for predicting oncogenic mutations from whole tissue...
15.
Schott M, Leon-Perinan D, Splendiani E, Strenger L, Licha J, Pentimalli T, et al.
Cell
. 2024 Jun;
187(15):3953-3972.e26.
PMID: 38917789
Spatial transcriptomics (ST) methods unlock molecular mechanisms underlying tissue development, homeostasis, or disease. However, there is a need for easy-to-use, high-resolution, cost-efficient, and 3D-scalable methods. Here, we report Open-ST, a...
16.
Plage H, Furlano K, Neymeyer J, Weinberger S, Gerdes B, Hubatsch M, et al.
BJUI Compass
. 2024 Jun;
5(6):585-592.
PMID: 38873357
Objectives: Carcinoembryonic antigen (CEA) is a cell surface glycoprotein that represents a promising therapeutic target. Serum measurement of shedded CEA can be utilized for monitoring of cancer patients. Material And...
17.
Plage H, Furlano K, Hofbauer S, Weinberger S, Ralla B, Franz A, et al.
BMC Urol
. 2024 Apr;
24(1):96.
PMID: 38658905
Background: A high level of PD-L1 expression is the most relevant predictive parameter for response to immune checkpoint inhibitor (CPI) therapy in urinary bladder cancer. Existing data on the relationship...
18.
Giammanco A, Bychkov A, Schallenberg S, Tsvetkov T, Fukuoka J, Pryalukhin A, et al.
Mod Pathol
. 2024 Apr;
37(6):100496.
PMID: 38636778
Lymph node metastasis (LNM) detection can be automated using artificial intelligence (AI)-based diagnostic tools. Only limited studies have addressed this task for colorectal cancer (CRC). This study aimed to develop...
19.
Hamm C, Baumgartner G, Padhani A, Frobose K, Drager F, Beetz N, et al.
Eur Radiol
. 2024 Mar;
34(10):6229-6240.
PMID: 38538841
Objectives: To develop and test zone-specific prostate-specific antigen density (sPSAD) combined with PI-RADS to guide prostate biopsy decision strategies (BDS). Methods: This retrospective study included consecutive patients, who underwent prostate...
20.
Debatin N, Bady E, Mandelkow T, Huang Z, Lurati M, Raedler J, et al.
Eur Urol
. 2024 Feb;
86(1):42-51.
PMID: 38383257
Background And Objective: Quantity and the spatial relationship of specific immune cell types can provide prognostic information in bladder cancer. The objective of the study was to characterize the spatial...