Dr.-Ing.

Simon Koppers

wissenschaftlicher Mitarbeiter

 138
 +49 241 80 22908
 Simon.Koppers@lfb.rwth-aachen.de



Curriculum Vitae

Sep 2016 – Aug 2019
Mitglied der International Research Training Group 2150 (IRTG 2150)
Jun 2014 – Okt 2019
Wissenschaftlicher Mitarbeiter, Lehrstuhl für Bildverarbeitung, RWTH Aachen
Jul 2017 – Dez 2017 Research Fellow, University of Pennsylvania
Research Scientist, Children’s Hospital of Philadelphia
Apr 2012 – Mär 2014 Master of Science: Elektrotechnik, Informationstechnik und Technische Informatik, RWTH Aachen. Schwerpunkt: Biomedizinische Technik
Apr 2013 – Sep 2013 Praktikum bei Siemens Audiologische Technik GmbH in Erlangen
Okt 2008 – Mär 2012 Bachelor of Science: Elektrotechnik, Informationstechnik und Technische Informatik, RWTH Aachen
Jun 2007 Abitur

Funktionen


Forschungsprojekt

Diffusionsbildgebung zur Rekonstruktion neuronaler Bahnen

Veröffentlichungen

 

Journal Publikationen

2022

Heather L Green, Marissa Dipiero, Simon Koppers, Jeffrey I Berman, Luke Bloy, Song Liu, Emma McBride, Matthew Ku, Lisa Blaskey, Emily Kuschner, and others
Peak alpha frequency and thalamic structure in children with typical development and autism spectrum disorder
In: Journal of Autism and Developmental Disorders 52 (1)

2021

Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers and Johannes Stegmaier
3D fluorescence microscopy data synthesis for segmentation and benchmarking
In: PLOS ONE 16 (12)

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

J. Christopher Edgar, Marissa Dipiero, Emma McBride, Heather L. Green, Jeffrey I. Berman, Matthew Ku, Song Liu, Lisa Blaskey, Emily Kuschner, Megan Airey, Judith L. Ross, Luke Bloy, Mina Kim, Simon Koppers, William Gaetz, Robert T. Schultz and Timothy P. L. Roberts
Abnormal maturation of the resting-state peak alpha frequency in children with autism spectrum disorder
In: Human Brain Mapping

2019

Chantal MW Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, Umesh Rudrapatna, John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, others
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
In: NeuroImage

 

Bücher und Buchkapitel

2017

Simon Koppers, Matthias Friedrichs and Dorit Merhof
Reconstruction of Diffusion Anisotropies using 3D Deep Convolutional Neural Networks in Diffusion Imaging
In: Modeling, Analysis, and Visualization of Anisotropy

2016

Simon Koppers and Dorit Merhof
Qualitative Comparison of Reconstruction Algorithms for Diffusion Imaging
In: Visualization of the Brain and its Pathologies – Technical and Neurosurgical Aspects

 

Konferenzen

2021

Dennis Eschweiler, Malte Rethwisch, Simon Koppers and Johannes Stegmaier
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
In: IEEE International Symposium on Biomedical Imaging (ISBI)

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

Simon Koppers, Edouard Coussoux, Sandro Romanzetti, Kathrin Reetz, Dorit Merhof
Sodium Image Denoising based on a Convolutional Denoising Autoencoder
In: Bildverarbeitung für die Medizin (BVM)

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

Boaz Arad, Ohad Ben-Shahar, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Zhiwei Xiong, Chang Chen, Zhan Shi, Dong Liu, Feng Wu, Charis Lanaras, Silvano Galliani, Konrad Schindler, Tarek Stiebel, Simon Koppers, Philipp Seltsam, Ruofan Zhou, Majed El Helou, Fayez Lahoud, Marjan Shahpaski, Ke Zheng, Lianru Gao, Bing Zhang, Ximin Cui, Haoyang Yu, Yigit Baran Can, Aitor Alvarez-Gila, Joost van de Weijer, Estibaliz Garrote, Adrian Galdran, Manoj Sharma, Sriharsha Koundinya, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Himanshu Sharma, Santanu Chaudhury, Koushik Nagasubramanian, Sambuddha Ghosal, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian and Soumik Sarkar
NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images
In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

2018

Tarek Stiebel, Simon Koppers, Philipp Seltsam and Dorit Merhof
Reconstructing Spectral Images from RGB-Images using a Convolutional Neural Network
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

2018

Simon Koppers, Luke Bloy, Jeffrey I. Berman, Chantal M.W. Tax, J. Christopher Edgar and Dorit Merhof
Spherical Harmonic Residual Network for Diffusion Signal Harmonization
In: MICCAI Workshop on Computational Diffusion MRI (CDMRI)

2017

Simon Koppers, Christoph Haarburger, J. Christopher Edgar and Dorit Merhof
Reliable Estimation of the Number of Compartments in Diffusion MRI
In: Bildverarbeitung für die Medizin (BVM)

2016

Simon Koppers, Christoph Haarburger and Dorit Merhof
Diffusion MRI Signal Augmentation - From Single Shell to Multi Shell with Deep Learning
In: MICCAI Workshop on Computational Diffusion MRI (CDMRI)

2016

Simon Koppers and Dorit Merhof
Direct Estimation of Fiber Orientations using Deep Learning in Diffusion Imaging
In: MICCAI Workshop on Machine Learning in Medical Imaging (MLMI)

2016

Simon Koppers, Christoph Hebisch and Dorit Merhof
A Feature Selection Framework for White Matter Fiber Clustering Based on Normalized Cuts
In: Bildverarbeitung für die Medizin (BVM)

2015

Simon Koppers, Thomas Schultz and Dorit Merhof
Spherical Ridgelets for Multi-Diffusion-Tensor Refinement - Concept and Evaluation
In: Bildverarbeitung für die Medizin (BVM)

 

Pre-Print Publikationen

2018

Chantal M.W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, Umesh Rudrapatna, John Evans, Samuel St-Jean, Alexander Leemans, Santi Puch, Matt Rowe, Paulo Rodrigues, Vesna Prčkovska, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Cyril Charron, Slawomir Kusmia, David E.J. Linden, Derek K. Jones, Jelle Veraart
Cross-vendor and Cross-protocol harmonisation of diffusion MRI data: a comparative study
In: International Society for Magnetic Resonance in Medicine (ISMRM)

2018

Simon Koppers and Dorit Merhof
DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging


Lehre

 

Globalübungen

Praktikum

Seminar