Stefan K. Piechnik
Orcid: 0000-0002-0268-5221
According to our database1,
Stefan K. Piechnik
authored at least 31 papers
between 2007 and 2023.
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Bibliography
2023
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE Trans. Biomed. Eng., June, 2023
2021
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
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
Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 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
Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping.
SoftwareX, 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
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping.
Artif. Intell. Medicine, 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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
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
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
2008
Modelling vascular reactivity to investigate the basis of the relationship between cerebral blood volume and flow under CO<sub>2</sub> manipulation.
NeuroImage, 2008
2007
Sources of systematic bias in hypercapnia-calibrated functional MRI estimation of oxygen metabolism.
NeuroImage, 2007