Philipp Vollmuth
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Explore the profile of Philipp Vollmuth including associated specialties, affiliations and a list of published articles.
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48
Citations
378
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Recent Articles
11.
Brugnara G, Jayachandran Preetha C, Deike K, Haase R, Pinetz T, Foltyn-Dumitru M, et al.
Radiol Artif Intell
. 2024 Oct;
6(6):e230514.
PMID: 39412405
Artificial intelligence (AI) models often face performance drops after deployment to external datasets. This study evaluated the potential of a novel data augmentation framework based on generative adversarial networks (GANs)...
12.
Mahmutoglu M, Rastogi A, Schell M, Foltyn-Dumitru M, Baumgartner M, Maier-Hein K, et al.
Eur Radiol Exp
. 2024 Oct;
8(1):111.
PMID: 39382818
The growing use of artificial neural network (ANN) tools for computed tomography angiography (CTA) data analysis underscores the necessity for elevated data protection measures. We aimed to establish an automated...
13.
Foltyn-Dumitru M, Mahmutoglu M, Brugnara G, Kessler T, Sahm F, Wick W, et al.
Eur Radiol
. 2024 Sep;
35(3):1351-1360.
PMID: 39251442
Objectives: This study examines clustering based on shape radiomic features and tumor volume to identify IDH-wildtype glioma phenotypes and assess their impact on overall survival (OS). Materials And Methods: This...
14.
Weller M, Remon J, Rieken S, Vollmuth P, Ahn M, Minniti G, et al.
Cancer Treat Rev
. 2024 Aug;
130:102807.
PMID: 39151281
Up to 40% of patients with non-small cell lung cancer (NSCLC) develop central nervous system (CNS) metastases. Current treatments for this subgroup of patients with advanced NSCLC include local therapies...
15.
Foltyn-Dumitru M, Alzaid H, Rastogi A, Neuberger U, Sahm F, Kessler T, et al.
Neurooncol Adv
. 2024 Jul;
6(1):vdae112.
PMID: 39022646
Background: The purpose of this study was to elucidate the relationship between distinct brain regions and molecular subtypes in glioblastoma (GB), focusing on integrating modern statistical tools and molecular profiling...
16.
Park Y, Choi K, Foltyn-Dumitru M, Brugnara G, Banan R, Kim S, et al.
Clin Cancer Res
. 2024 Jun;
30(21):4866-4875.
PMID: 38829906
Purpose: To propose a novel recursive partitioning analysis (RPA) classification model in patients with IDH-wildtype glioblastomas that incorporates the recently expanded conception of the extent of resection (EOR) in terms...
17.
Foltyn-Dumitru M, Schell M, Sahm F, Kessler T, Wick W, Bendszus M, et al.
Neurooncol Adv
. 2024 Apr;
6(1):vdae043.
PMID: 38596719
Background: This study investigates the influence of diffusion-weighted Magnetic Resonance Imaging (DWI-MRI) on radiomic-based prediction of glioma types according to molecular status and assesses the impact of DWI intensity normalization...
18.
Galldiks N, Kaufmann T, Vollmuth P, Lohmann P, Smits M, Veronesi M, et al.
Neuro Oncol
. 2024 Mar;
26(7):1181-1194.
PMID: 38466087
Brain tumor diagnostics have significantly evolved with the use of positron emission tomography (PET) and advanced magnetic resonance imaging (MRI) techniques. In addition to anatomical MRI, these modalities may provide...
19.
Rastogi A, Brugnara G, Foltyn-Dumitru M, Mahmutoglu M, Preetha C, Kobler E, et al.
Lancet Oncol
. 2024 Feb;
25(3):400-410.
PMID: 38423052
Background: The extended acquisition times required for MRI limit its availability in resource-constrained settings. Consequently, accelerating MRI by undersampling k-space data, which is necessary to reconstruct an image, has been...
20.
Iser F, Hinz F, Hoffmann D, Grassl N, Gungoor C, Meyer J, et al.
Clin Cancer Res
. 2024 Jan;
30(14):2974-2985.
PMID: 38295147
Purpose: Primary central nervous system (CNS) gliomas can be classified by characteristic genetic alterations. In addition to solid tissue obtained via surgery or biopsy, cell-free DNA (cfDNA) from cerebrospinal fluid...