M.Sc.

Leon Weninger

wissenschaftlicher Mitarbeiter

 106
 +49 241 80 22916
 +49 241 80 22200
 leon.weninger@lfb.rwth-aachen.de



Curriculum Vitae

Feb 2018 – heute Wissenschaftlicher Mitarbeiter, Lehrstuhl für Bildverarbeitung, RWTH Aachen
Jun 2017 – Dez 2017 Praktikum in Machine Learning bei Maxeler Technologies, London
Okt 2015 – Dez 2017 M.Sc. Elektrotechnik, Informationstechnik & Technische Informationstechnik, RWTH Aachen
Sep 2013 – Jul 2015 M.Sc./B.Sc. TIME Doppelmasterprogramm, Auslandsstudium Ecole Centrale, Lyon, Frankreich
Okt 2011 – Mar 2015 B.Sc. Elektrotechnik, Informationstechnik & Technische Informationstechnik, RWTH Aachen

Forschungsgebiet

Diffusionsbildgebung zur Rekonstruktion neuronaler Bahnen

Veröffentlichungen

 

Journal-Veröffentlichungen

2022

Weninger, Leon, Srivastava, Pragya, Zhou, Dale, Kim, Jason Z., Cornblath, Eli J., Bertolero, Maxwell A., Habel, Ute, Merhof, Dorit and Bassett, Dani S.
Information content of brain states is explained by structural constraints on state energetics
In: Phys. Rev. E 106

2021

Kerstin Jütten, Leon Weninger, Verena Mainz, Siegfried Gauggel, Ferdinand Binkofski, Martin Wiesmann, Dorit Merhof, Hans Clusmann, Chuh-Hyoun Na
Dissociation of structural and functional connectomic coherence in glioma patients
In: Scientific Reports 11 (16790)

2020

Leon Weninger, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof
Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients
In: PLOS ONE 15 (9)

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

Konferenz-Veröffentlichungen

2022

Leon Weninger, Sandro Romanzetti, Julia Ebert, Kathrin Reetz, Dorit Merhof
Harmonization of diffusion MRI data obtained with multiple head coils using hybrid CNNs
In: ECCV AIMIA Workshop

2022

Leon Weninger, Mushawar Ahmad and Dorit Merhof
From supervised to unsupervised harmonization of diffusion MRI acquisitions
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2022

Leon Weninger, Jarek Ecke, Na, Chuh-Hyoun Na, Kerstin Jütten and Dorit Merhof
Diffusion MRI Specific Pretraining by Self-Supervision on an Auxiliary Dataset
In: Bildverarbeitung fuer die Medizin (BVM)

2021

Leon Weninger, Andre Gilerson and Dorit Merhof
Improving Localization of Brain Tumors through 3D GAN Inpainting
In: International Engineering in Medicine and Biology Conference (EMBC)

2021

Leon Weninger, Maxim Drobjazko, Na, Chuh-Hyoun Na, Kerstin Jütten and Dorit Merhof
Autoencoder-based quality assessment for synthetic diffusion-MRI data
In: Bildverarbeitung fuer die Medizin (BVM)

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