Search Results for author: Tobias Hepp

Found 11 papers, 4 papers with code

Conditional De-Identification of 3D Magnetic Resonance Images

no code implementations18 Oct 2021 Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith

Solutions have been developed to de-identify diagnostic scans by obfuscating or removing parts of the face.


Uncertainty-Guided Progressive GANs for Medical Image Translation

1 code implementation29 Jun 2021 Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata

However, the state-of-the-art GAN-based frameworks do not estimate the uncertainty in the predictions made by the network that is essential for making informed medical decisions and subsequent revision by medical experts and has recently been shown to improve the performance and interpretability of the model.

Denoising Image-to-Image Translation +2

Uncertainty-Based Biological Age Estimation of Brain MRI Scans

no code implementations15 Mar 2021 Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang

We apply the proposed methodology on a brain MRI dataset containing healthy individuals as well as Alzheimer's patients.

Age Estimation

Adversarial Privacy Preservation in MRI Scans of the Brain

no code implementations1 Jan 2021 Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith

De-identification of magnetic resonance imagery (MRI) is intrinsically difficult since, even with all metadata removed, a person's face can easily be rendered and matched against a database.


Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation

1 code implementation29 Nov 2020 August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab

Our study offers valuable guidelines and outlines practical conditions under which insights derived from synthetic medical images are similar to those that would have been derived from real imaging data.

Computed Tomography (CT) Image Generation +3

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging

no code implementations21 Oct 2019 Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang

Local deformations in medical modalities are common phenomena due to a multitude of factors such as metallic implants or limited field of views in magnetic resonance imaging (MRI).

Image Inpainting

Organ-based Chronological Age Estimation based on 3D MRI Scans

no code implementations14 Oct 2019 Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics.

Age Estimation

Probing for sparse and fast variable selection with model-based boosting

no code implementations15 Feb 2017 Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl

We present a new variable selection method based on model-based gradient boosting and randomly permuted variables.

Variable Selection

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