M.Sc.

Leon Weninger

Research Scientist

 138
 +49 241 80 22916
 +49 241 80 22200
 leon.weninger@lfb.rwth-aachen.de



Curriculum Vitae

Feb 2018 – now Research Scientist, Institute of Imaging & Computer Vision, RWTH Aachen University
Jun 2017 – Dec 2017 Internship Machine Learning at Maxeler Technologies, London
Oct 2015 – Dec 2017 M.Sc. Electrical Engineering, RWTH Aachen University
Sep 2013 – Jul 2015 M.Sc./B.Sc. International Double Degree Program, Ecole Centrale, Lyon, Frankreich
Oct 2011 – Mar 2015 B.Sc. Electrical Engineering, RWTH Aachen University

Research Project

Reconstruction of neuronal pathways from diffusion imaging data

Journal Publications

 

2020

Christoph Haarburger, Gustav Müller-Franzes, Leon Weninger, Christiane Kuhl, Daniel Truhn, Dorit Merhof
Radiomics feature reproducibility under inter‐rater variability in segmentations of ct images
In: Scientific Reports (accepted)

2020

Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Julia Ebert, Dorit Merhof, others
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
In: Neuroimage

2019

Leon Weninger, Christoph Haarburger and Dorit Merhof
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status
In: Frontiers in Computational Neuroscience 13

Conference Publications

 

2020

Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger and Dorit Merhof
Radiomic Feature Stability Analysis based on Probabilistic Segmentations
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2019

Leon Weninger, Qianyu Liu and Dorit Merhof
Multi-Task Learning for Brain Tumor Segmentation
In: MICCAI Brainlesion Workshop (BrainLes)

2019

Leon Weninger, Simon Koppers, Chuh-Hyoun Na, Kerstin Juetten and Dorit Merhof
Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach
In: MICCAI Workshop on Computational Diffusion MRI (CDMRI)

2019

Leon Weninger, Imke Krauhausen and Dorit Merhof
Semantic Segmentation of Brain Tumors in MRI Data without any Labels
In: Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)

2019

Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier and Dorit Merhof
Combined Learning for Similar Tasks with Domain-Switching Networks
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2018

Leon Weninger, Oliver Rippel, Simon Koppers and Dorit Merhof
Segmentation of Brain Tumors in 3D-MRI Data and Patient Survival Prediction: Methods for the BraTS 2018 Challenge
In: MICCAI Brainlesion Workshop (BrainLes)

2018

Leon Weninger, Marcin Kopaczka and Dorit Merhof
Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks
In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

Preprints

 

2018

Rippel, Oliver, Weninger, Leon and Merhof, Dorit
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
In: arXiv preprint arXiv:2005.09978


Abstracts

2020

Leon Weninger, Kerstin Juetten, Simon Köppers, Verena Mainz, Martin Wiesmann, Hans Clusmann, Dorit Merhof and Chuh-Hyoun Na
Free-water correction in Diffusion MRI improves preoperative evaluation of peritumoral white-matter tracts in glioma patients
In: 71. Jahrestagung Deutsche Gesellschaft für Neurochirurgie (DGNC)