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Martin Treppner

Showing results (1-10 of 15) with videos related to

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Human Genetics|January 6, 2022
Interpretable generative deep learning: an illustration with single cell gene expression dataMartin Treppner, Harald Binder, Moritz Hess
Studies in Health Technology and Informatics|August 28, 2018
Modeling Activity Tracker Data Using Deep Boltzmann MachinesMartin Treppner, Stefan Lenz, Harald Binder, et al.
Frontiers in Molecular Biosciences|November 17, 2022
The performance of deep generative models for learning joint embeddings of single-cell multi-omics dataEva Brombacher, Maren Hackenberg, Clemens Kreutz, et al.
Scientific Reports|May 1, 2021
Synthetic single cell RNA sequencing data from small pilot studies using deep generative modelsMartin Treppner, Adrián Salas-Bastos, Moritz Hess, et al.
Genome Biology|November 21, 2025
scSpecies: enhancement of network architecture alignment in comparative single-cell studiesClemens Schächter, Maren Hackenberg, Martin Treppner, et al.
Journal of Alzheimer'S Disease : JAD|May 17, 2021
DAT SPECT Predicts Survival in Patients Assessed for Differential Diagnosis of DementiaLars Frings, Franziska Henninger, Martin Treppner, et al.
Journal of Parkinson'S Disease|October 12, 2020
[123I]FP-CIT SPECT in Clinically Uncertain Parkinsonism Predicts Survival: A Data-Driven AnalysisLars Frings, Franziska Henninger, Martin Treppner, et al.
Kidney International|November 23, 2023
Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patternsStefan Haug, Selvaraj Muthusamy, Yong Li, et al.
Scientific Reports|April 18, 2023
Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population studySophie Loose, Demetris Solou, Christoph Strecker, et al.
Frontiers in Cardiovascular Medicine|November 12, 2021
Carotid Geometry and Wall Shear Stress Independently Predict Increased Wall Thickness-A Longitudinal 3D MRI Study in High-Risk PatientsChristoph Strecker, Axel Joachim Krafft, Lilli Kaufhold, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Human Genetics|January 6, 2022
Interpretable generative deep learning: an illustration with single cell gene expression dataMartin Treppner, Harald Binder, Moritz Hess
Studies in Health Technology and Informatics|August 28, 2018
Modeling Activity Tracker Data Using Deep Boltzmann MachinesMartin Treppner, Stefan Lenz, Harald Binder, et al.
Frontiers in Molecular Biosciences|November 17, 2022
The performance of deep generative models for learning joint embeddings of single-cell multi-omics dataEva Brombacher, Maren Hackenberg, Clemens Kreutz, et al.
Scientific Reports|May 1, 2021
Synthetic single cell RNA sequencing data from small pilot studies using deep generative modelsMartin Treppner, Adrián Salas-Bastos, Moritz Hess, et al.
Genome Biology|November 21, 2025
scSpecies: enhancement of network architecture alignment in comparative single-cell studiesClemens Schächter, Maren Hackenberg, Martin Treppner, et al.
Journal of Alzheimer'S Disease : JAD|May 17, 2021
DAT SPECT Predicts Survival in Patients Assessed for Differential Diagnosis of DementiaLars Frings, Franziska Henninger, Martin Treppner, et al.
Journal of Parkinson'S Disease|October 12, 2020
[123I]FP-CIT SPECT in Clinically Uncertain Parkinsonism Predicts Survival: A Data-Driven AnalysisLars Frings, Franziska Henninger, Martin Treppner, et al.
Kidney International|November 23, 2023
Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patternsStefan Haug, Selvaraj Muthusamy, Yong Li, et al.
Scientific Reports|April 18, 2023
Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population studySophie Loose, Demetris Solou, Christoph Strecker, et al.
Frontiers in Cardiovascular Medicine|November 12, 2021
Carotid Geometry and Wall Shear Stress Independently Predict Increased Wall Thickness-A Longitudinal 3D MRI Study in High-Risk PatientsChristoph Strecker, Axel Joachim Krafft, Lilli Kaufhold, et al.
Pageof 2