Tobias Hepp

Affiliations:
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • University of Tübingen, Germany (PhD 2019)


According to our database1, Tobias Hepp authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations.
Comput. Medical Imaging Graph., March, 2023

2021
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation.
IEEE Trans. Medical Imaging, 2021

Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation.
npj Digit. Medicine, 2021

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.
Comput. Medical Imaging Graph., 2021

Uncertainty-Guided Progressive GANs for Medical Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Uncertainty-Based Biological Age Estimation of Brain MRI Scans.
Proceedings of the IEEE International Conference on Acoustics, 2021

Conditional De-Identification of 3D Magnetic Resonance Images.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation.
CoRR, 2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.
CoRR, 2020

MedGAN: Medical image translation using GANs.
Comput. Medical Imaging Graph., 2020

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging.
Proceedings of the IEEE International Conference on Image Processing, 2020

Organ-Based Chronological Age Estimation Based on 3D MRI Scans.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Texturanalyse und maschinelles Lernen in der onkologischen Bildgebung - klinische und technische Anwendungen.
PhD thesis, 2019

ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities.
CoRR, 2019

Organ-based Age Estimation based on 3D MRI Scans.
CoRR, 2019

2018
ImFEATbox: a toolbox for extraction and analysis of medical image features.
Int. J. Comput. Assist. Radiol. Surg., 2018


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