Schultz T - Search Results

1

Decision-support for treatment with ¹⁷⁷Lu-PSMA: machine learning predicts response with high accuracy based on PSMA-PET/CT and clinical parameters.

Moazemi S, Erle A, Khurshid Z, Lütje S, Muders M, Essler M, Schultz T, Bundschuh RA. Moazemi S, et al. Among authors: schultz t. Ann Transl Med. 2021 May;9(9):818. doi: 10.21037/atm-20-6446. Ann Transl Med. 2021. PMID: 34268431 Free PMC article.

2

Machine Learning Facilitates Hotspot Classification in PSMA-PET/CT with Nuclear Medicine Specialist Accuracy.

Moazemi S, Khurshid Z, Erle A, Lütje S, Essler M, Schultz T, Bundschuh RA. Moazemi S, et al. Among authors: schultz t. Diagnostics (Basel). 2020 Aug 22;10(9):622. doi: 10.3390/diagnostics10090622. Diagnostics (Basel). 2020. PMID: 32842599 Free PMC article.

3

Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans.

Erle A, Moazemi S, Lütje S, Essler M, Schultz T, Bundschuh RA. Erle A, et al. Among authors: schultz t. Tomography. 2021 Jul 29;7(3):301-312. doi: 10.3390/tomography7030027. Tomography. 2021. PMID: 34449727 Free PMC article.

4

4D-CT-based motion correction of PET images using 3D iterative deconvolution.

Thomas L, Schultz T, Prokic V, Guckenberger M, Tanadini-Lang S, Hohberg M, Wild M, Drzezga A, Bundschuh RA. Thomas L, et al. Among authors: schultz t. Oncotarget. 2019 Apr 26;10(31):2987-2995. doi: 10.18632/oncotarget.26862. eCollection 2019 Apr 26. Oncotarget. 2019. PMID: 31105880 Free PMC article.

5

Algorithms for the Automated Analysis of Age-Related Macular Degeneration Biomarkers on Optical Coherence Tomography: A Systematic Review.

Wintergerst MWM, Schultz T, Birtel J, Schuster AK, Pfeiffer N, Schmitz-Valckenberg S, Holz FG, Finger RP. Wintergerst MWM, et al. Among authors: schultz t. Transl Vis Sci Technol. 2017 Jul 18;6(4):10. doi: 10.1167/tvst.6.4.10. eCollection 2017 Jul. Transl Vis Sci Technol. 2017. PMID: 28729948 Free PMC article. Review.

6

Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Mueller S, Wintergerst MWM, Falahat P, Holz FG, Schaefer C, Schahab N, Finger RP, Schultz T. Mueller S, et al. Among authors: schultz t. Sci Rep. 2022 Jan 26;12(1):1389. doi: 10.1038/s41598-022-05169-z. Sci Rep. 2022. PMID: 35082343 Free PMC article.

7

Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach.

Wang M, Schutte M, Grimmer T, Lizarraga A, Schultz T, Hedderich DM, Diehl-Schmid J, Rominger A, Ziegler S, Navab N, Yan Z, Jiang J, Yakushev I, Shi K. Wang M, et al. Among authors: schultz t. Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):80-89. doi: 10.1007/s00259-022-05949-9. Epub 2022 Aug 26. Eur J Nucl Med Mol Imaging. 2022. PMID: 36018359

8

Comparison of basis functions and q-space sampling schemes for robust compressed sensing reconstruction accelerating diffusion spectrum imaging.

Tobisch A, Schultz T, Stirnberg R, Varela-Mattatall G, Knutsson H, Irarrázaval P, Stöcker T. Tobisch A, et al. Among authors: schultz t. NMR Biomed. 2019 Mar;32(3):e4055. doi: 10.1002/nbm.4055. Epub 2019 Jan 14. NMR Biomed. 2019. PMID: 30637831

9

Compressed Sensing Diffusion Spectrum Imaging for Accelerated Diffusion Microstructure MRI in Long-Term Population Imaging.

Tobisch A, Stirnberg R, Harms RL, Schultz T, Roebroeck A, Breteler MMB, Stöcker T. Tobisch A, et al. Among authors: schultz t. Front Neurosci. 2018 Sep 24;12:650. doi: 10.3389/fnins.2018.00650. eCollection 2018. Front Neurosci. 2018. PMID: 30319336 Free PMC article.

10

SHORE-based detection and imputation of dropout in diffusion MRI.

Koch A, Zhukov A, Stöcker T, Groeschel S, Schultz T. Koch A, et al. Among authors: schultz t. Magn Reson Med. 2019 Dec;82(6):2286-2298. doi: 10.1002/mrm.27893. Epub 2019 Jul 4. Magn Reson Med. 2019. PMID: 31273856

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