Stefan Neubauer

Orcid: 0000-0001-9017-5645

According to our database1, Stefan Neubauer authored at least 35 papers between 2014 and 2024.

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Bibliography

2024
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network.
IEEE Trans. Artif. Intell., September, 2024

2023
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE Trans. Biomed. Eng., June, 2023

LegoNet: Alternating Model Blocks for Medical Image Segmentation.
CoRR, 2023

2022
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.
Medical Image Anal., 2022

2021
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
Medical Image Anal., 2021

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.
Medical Image Anal., 2021

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.
Medical Image Anal., 2021

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.
Medical Image Anal., 2021

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.
Medical Image Anal., 2020

Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank.
CoRR, 2020

2019
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Anal., 2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images.
CoRR, 2019

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018

Voxel-Wise Analysis of Paediatric Liver MRI.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
Human-level CMR image analysis with deep fully convolutional networks.
CoRR, 2017

2016
<i>ICT</i>: isotope correction toolbox.
Bioinform., 2016

Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA).
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016

Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015
Extraction of Morphological QRS-based Biomarkers in Hypertrophic Cardiomyopathy for Risk Stratification Using L1 Regularized Logistic Regression.
Proceedings of the Computing in Cardiology, 2015

2014
Electrocardiographic Abnormalities in Hypertrophic Cardiomyopathy.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Local Phase-Based Algorithm for Registration of CMR Scans from Multiple Visits.
Proceedings of the Computing in Cardiology, CinC 2014, 2014


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