M.Sc.

Nassim Bouteldja

Research Scientist

 110
 +49 241 80 22906
 +49 241 80 22200
 Nassim.Bouteldja@lfb.rwth-aachen.de



Curriculum Vitae

 

Jan 2019 – now Research Scientist, Institute of Imaging and Computer Vision, RWTH Aachen University
Okt 2016 – Dez 2018 Scholarship from the German National Academic Foundation
Okt 2016 – Dez 2018 M. Sc. Medical Informatics, University of Lübeck
Okt 2013 – Sep 2016 B. Sc. Medical Informatics, University of Lübeck

Publications

 

Journal Publications

 

  • Nassim Bouteldja*, Max Blendowski*, Mattias P. Heinrich: “Multi-Modal 3D Medical Image Registration Guided by Shape Encoder-Decoder Networks”, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2019
  • Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja: “OBELISK-Net: Fewer Layers to Solve 3D Multi-Organ Segmentation with Sparse Deformable Convolutions”, Medical Image Analysis (MedIA), 2019
  • Christian Lucas, André Kemmling, Nassim Bouteldja, Linda F. Aulmann, Amir Madany Mamlouk, Mattias P. Heinrich: “Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations”, Frontiers in Neurology, 9:989, 2018

Conference Publications

 

  • Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt, Mattias P. Heinrich: “Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning”, Bildverarbeitung für die Medizin (BVM), Special Issue, Lübeck, 2019
  • Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja: “OBELISK-One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis”, Medical Imaging with Deep Learning (MIDL), Amsterdam, 2018
    Nvidia Best Paper Award
  • Nassim Bouteldja, Matthias Wilms, Heinz Handels, Dennis Säring, Jan Ehrhardt: “Model-based 4D Segmentation of Cardiac Structures in Cine MRI Sequences”, Bildverarbeitung für die Medizin (BVM), Heidelberg, 18-23, 2017