Andreas Schuh

According to our database1, Andreas Schuh authored at least 23 papers between 2011 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 




Predicting age and clinical risk from the neonatal connectome.
NeuroImage, 2022

Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks.
Medical Image Anal., 2022

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021

Learning Diffeomorphic and Modality-invariant Registration using B-splines.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020

The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow.
Comput. Biol. Medicine, 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Medical Imaging, 2019

Image-and-Spatial Transformer Networks for Structure-Guided Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multimodal surface matching with higher-order smoothness constraints.
NeuroImage, 2018

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018

Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018

Learning-Based Quality Control for Cardiac MR Images.
CoRR, 2018

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Computational models of the morphology of the developing neonatal human brain.
PhD thesis, 2017

A deformable model for the reconstruction of the neonatal cortex.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

Control of first and higher transverse eigenmodes of active Atomic Force Microscope cantilevers.
Proceedings of the 2016 American Control Conference, 2016

Structured Decision Forests for Multi-modal Ultrasound Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy.
Proceedings of the American Control Conference, 2015

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model.
Proceedings of the Information Processing in Medical Imaging, 2011