Nassim Bouteldja

Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

Peter Bankhead, Dorit Merhof, Peter Boor, 2020, Journal of the American Society of Nephrology : JASN.

Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations

Christian Lucas, Mattias P. Heinrich, André Kemmling, 2018, Front. Neurol..

Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning

Dorit Merhof, Mattias P. Heinrich, Jan Ehrhardt, 2019, Bildverarbeitung für die Medizin.

OBELISK - One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis

Mattias P. Heinrich, Nassim Bouteldja, Ozan Oktay, 2018 .

Multimodal 3D medical image registration guided by shape encoder–decoder networks

Max Blendowski, Nassim Bouteldja, Mattias P Heinrich, 2020, Int. J. Comput. Assist. Radiol. Surg..

OBELISK‐Net: Fewer layers to solve 3D multi‐organ segmentation with sparse deformable convolutions

Nassim Bouteldja, Mattias P Heinrich, Ozan Oktay, 2019, Medical Image Anal..

XC- A language for embedded rule based systems

Juha Kuusela, Markku Tamminen, Jari Arkko, 1987, SIGP.

Model-Based 4D Segmentation of Cardiac Structures in Cine MRI Sequences

Heinz Handels, Jan Ehrhardt, Matthias Wilms, 2017, Bildverarbeitung für die Medizin.

Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning pdf

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, ArXiv.