Treppner M - Search Results

1

The performance of deep generative models for learning joint embeddings of single-cell multi-omics data.

Brombacher E, Hackenberg M, Kreutz C, Binder H, Treppner M. Brombacher E, et al. Among authors: treppner m. Front Mol Biosci. 2022 Oct 26;9:962644. doi: 10.3389/fmolb.2022.962644. eCollection 2022. Front Mol Biosci. 2022. PMID: 36387277 Free PMC article. Review.

2

Modeling Activity Tracker Data Using Deep Boltzmann Machines.

Treppner M, Lenz S, Binder H, Zöller D. Treppner M, et al. Stud Health Technol Inform. 2018;253:155-159. Stud Health Technol Inform. 2018. PMID: 30147063

3

Synthetic single cell RNA sequencing data from small pilot studies using deep generative models.

Treppner M, Salas-Bastos A, Hess M, Lenz S, Vogel T, Binder H. Treppner M, et al. Sci Rep. 2021 Apr 30;11(1):9403. doi: 10.1038/s41598-021-88875-4. Sci Rep. 2021. PMID: 33931726 Free PMC article.

4

Interpretable generative deep learning: an illustration with single cell gene expression data.

Treppner M, Binder H, Hess M. Treppner M, et al. Hum Genet. 2022 Sep;141(9):1481-1498. doi: 10.1007/s00439-021-02417-6. Epub 2022 Jan 6. Hum Genet. 2022. PMID: 34988661 Free PMC article. Review.

5

Carotid Geometry and Wall Shear Stress Independently Predict Increased Wall Thickness-A Longitudinal 3D MRI Study in High-Risk Patients.

Strecker C, Krafft AJ, Kaufhold L, Hüllebrandt M, Treppner M, Ludwig U, Köber G, Hennemuth A, Hennig J, Harloff A. Strecker C, et al. Among authors: treppner m. Front Cardiovasc Med. 2021 Oct 26;8:723860. doi: 10.3389/fcvm.2021.723860. eCollection 2021. Front Cardiovasc Med. 2021. PMID: 34765650 Free PMC article.

6

DAT SPECT Predicts Survival in Patients Assessed for Differential Diagnosis of Dementia.

Frings L, Henninger F, Treppner M, Köber G, Boeker M, Meyer PT. Frings L, et al. Among authors: treppner m. J Alzheimers Dis. 2021;82(1):215-220. doi: 10.3233/JAD-210062. J Alzheimers Dis. 2021. PMID: 33998542

7

[123I]FP-CIT SPECT in Clinically Uncertain Parkinsonism Predicts Survival: A Data-Driven Analysis.

Frings L, Henninger F, Treppner M, Köber G, Boeker M, Hellwig S, Buchert R, Meyer PT. Frings L, et al. Among authors: treppner m. J Parkinsons Dis. 2020;10(4):1457-1465. doi: 10.3233/JPD-202214. J Parkinsons Dis. 2020. PMID: 33044193

8

Disentangling nigral and putaminal contribution to motor impairment and levodopa response in Parkinson's disease.

Schröter N, Rijntjes M, Urbach H, Weiller C, Treppner M, Kellner E, Jost WH, Sajonz BEA, Reisert M, Hosp JA, Rau A. Schröter N, et al. Among authors: treppner m. NPJ Parkinsons Dis. 2022 Oct 14;8(1):132. doi: 10.1038/s41531-022-00401-z. NPJ Parkinsons Dis. 2022. PMID: 36241644 Free PMC article.

9

Psychosocial distress in cancer patients undergoing radiotherapy: a prospective national cohort of 1042 patients in Germany.

Fabian A, Rühle A, Domschikowski J, Trommer M, Wegen S, Becker JN, Wurschi G, Boeke S, Sonnhoff M, Fink CA, Käsmann L, Schneider M, Bockelmann E, Treppner M, Mehnert-Theuerkauf A, Krug D, Nicolay NH; Young DEGRO Group. Fabian A, et al. Among authors: treppner m. J Cancer Res Clin Oncol. 2023 Sep;149(11):9017-9024. doi: 10.1007/s00432-023-04837-5. Epub 2023 May 10. J Cancer Res Clin Oncol. 2023. PMID: 37165119 Free PMC article.

10

Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population study.

Loose S, Solou D, Strecker C, Hennemuth A, Hüllebrand M, Grundmann S, Asmussen A, Treppner M, Urbach H, Harloff A. Loose S, et al. Among authors: treppner m. Sci Rep. 2023 Apr 18;13(1):6285. doi: 10.1038/s41598-023-33219-7. Sci Rep. 2023. PMID: 37072440 Free PMC article.

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