Leon Weninger

Orcid: 0000-0002-7263-4219

According to our database1, Leon Weninger authored at least 17 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2022
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Harmonization of Diffusion MRI Data Obtained with Multiple Head Coils Using Hybrid CNNs.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Diffusion MRI Specific Pretraining by Self-supervision on an Auxiliary Dataset.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Improving Localization of Brain Tumors through 3D GAN Inpainting.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage, 2020

AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018.
CoRR, 2020

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status.
Frontiers Comput. Neurosci., 2019

ModelHub.AI: Dissemination Platform for Deep Learning Models.
CoRR, 2019

Radiomic Feature Stability Analysis based on Probabilistic Segmentations.
CoRR, 2019

Semantic Segmentation of Brain Tumors in MRI Data Without any Labels.
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2019

Combined Learning for Similar Tasks with Domain-Switching Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018


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