Nowak S - Search Results

1

Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment.

Nowak S, Kloth C, Theis M, Marinova M, Attenberger UI, Sprinkart AM, Luetkens JA. Nowak S, et al. Eur Radiol. 2024 Jan;34(1):279-286. doi: 10.1007/s00330-023-09974-6. Epub 2023 Aug 12. Eur Radiol. 2024. PMID: 37572195 Free PMC article.

2

Synchronization and Alignment of Follow-up Examinations: a Practical and Educational Approach Using the DICOM Reference Coordinate System.

Nowak S, Sprinkart AM. Nowak S, et al. J Digit Imaging. 2019 Feb;32(1):68-74. doi: 10.1007/s10278-018-0117-4. J Digit Imaging. 2019. PMID: 30109521 Free PMC article.

3

Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.

Nowak S, Faron A, Luetkens JA, Geißler HL, Praktiknjo M, Block W, Thomas D, Sprinkart AM. Nowak S, et al. Invest Radiol. 2020 Jun;55(6):357-366. doi: 10.1097/RLI.0000000000000647. Invest Radiol. 2020. PMID: 32369318

4

Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis.

Faron A, Sprinkart AM, Kuetting DLR, Feisst A, Isaak A, Endler C, Chang J, Nowak S, Block W, Thomas D, Attenberger U, Luetkens JA. Faron A, et al. Among authors: nowak s. Sci Rep. 2020 Jul 16;10(1):11765. doi: 10.1038/s41598-020-68797-3. Sci Rep. 2020. PMID: 32678260 Free PMC article.

5

Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.

Nowak S, Mesropyan N, Faron A, Block W, Reuter M, Attenberger UI, Luetkens JA, Sprinkart AM. Nowak S, et al. Eur Radiol. 2021 Nov;31(11):8807-8815. doi: 10.1007/s00330-021-07858-1. Epub 2021 May 11. Eur Radiol. 2021. PMID: 33974149 Free PMC article.

6

End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT.

Nowak S, Theis M, Wichtmann BD, Faron A, Froelich MF, Tollens F, Geißler HL, Block W, Luetkens JA, Attenberger UI, Sprinkart AM. Nowak S, et al. Eur Radiol. 2022 May;32(5):3142-3151. doi: 10.1007/s00330-021-08313-x. Epub 2021 Sep 30. Eur Radiol. 2022. PMID: 34595539 Free PMC article.

7

Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors.

Faron A, Opheys NS, Nowak S, Sprinkart AM, Isaak A, Theis M, Mesropyan N, Endler C, Sirokay J, Pieper CC, Kuetting D, Attenberger U, Landsberg J, Luetkens JA. Faron A, et al. Among authors: nowak s. Diagnostics (Basel). 2021 Dec 9;11(12):2314. doi: 10.3390/diagnostics11122314. Diagnostics (Basel). 2021. PMID: 34943551 Free PMC article.

8

Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI.

Luetkens JA, Nowak S, Mesropyan N, Block W, Praktiknjo M, Chang J, Bauckhage C, Sifa R, Sprinkart AM, Faron A, Attenberger U. Luetkens JA, et al. Among authors: nowak s. Sci Rep. 2022 May 18;12(1):8297. doi: 10.1038/s41598-022-12410-2. Sci Rep. 2022. PMID: 35585118 Free PMC article.

9

Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema.

Nowak S, Henkel A, Theis M, Luetkens J, Geiger S, Sprinkart AM, Pieper CC, Attenberger UI. Nowak S, et al. Eur Radiol. 2023 Feb;33(2):884-892. doi: 10.1007/s00330-022-09047-0. Epub 2022 Aug 17. Eur Radiol. 2023. PMID: 35976393 Free PMC article.

10

Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy.

Theis M, Tonguc T, Savchenko O, Nowak S, Block W, Recker F, Essler M, Mustea A, Attenberger U, Marinova M, Sprinkart AM. Theis M, et al. Among authors: nowak s. Insights Imaging. 2023 Jan 5;14(1):1. doi: 10.1186/s13244-022-01342-0. Insights Imaging. 2023. PMID: 36600120 Free PMC article.

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