Stefan K. Piechnik

发表

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks

Alejandro F. Frangi, Le Zhang, Marco Pereañez, 2019, MICCAI.

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging

Alejandro F. Frangi, Le Zhang, Alejandro F Frangi, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Daniel Rueckert, Chen Qin, Wenjia Bai, 2018, MICCAI.

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study pdf

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2019, ArXiv.

Subject-level Prediction of Segmentation Failure using Real-Time Convolutional Neural Nets

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2018 .

End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study

Alistair A. Young, Avan Suinesiaputra, Stefan K. Piechnik, 2019, FIMH.

Real-time Prediction of Segmentation Quality

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2018, MICCAI.

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

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2019, Medical Image Anal..

Human-level CMR image analysis with deep fully convolutional networks pdf

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2017, ArXiv.

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI

Alejandro F. Frangi, Le Zhang, Alejandro F Frangi, 2018, MICCAI.

Automatic Assessment of Full LV Coverage in Cardiac Cine MRI Using Learned Intensity Attributes with Discriminative 3D CNNs

Alejandro F. Frangi, Ali Gooya, Le Zhang, 2017 .

MR-SPECT coregistration using intensity matching and a CBF simulation model

Stefan K. Piechnik, L. Hultin, B Johnels, 2004 .

Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans

Ian Horrocks, Stefan K. Piechnik, Stefan Neubauer, 2016, LABELS/DLMIA@MICCAI.

Modelling vascular reactivity to investigate the basis of the relationship between cerebral blood volume and flow under CO2 manipulation

Stefan K. Piechnik, Peter Jezzard, Peter A. Chiarelli, 2008, NeuroImage.

Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

Daniel Rueckert, Chen Chen, Wenjia Bai, 2019, Frontiers in Cardiovascular Medicine.

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort

Alejandro F. Frangi, Ali Gooya, Le Zhang, 2018, STACOM@MICCAI.

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets

Alejandro F. Frangi, Alejandro F Frangi, Le Zhang, 2019, MICCAI.

Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping

Qiang Zhang, Konrad Werys, Stefan K. Piechnik, 2020, SoftwareX.

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging

Konrad Werys, Stefan K. Piechnik, Stefan Neubauer, 2019, MICCAI.

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image pdf

Daniel Rueckert, Chen Qin, Wenjia Bai, 2018, MLMIR@MICCAI.

Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA)

Ian Horrocks, Stefan K. Piechnik, Stefan Neubauer, 2016, SWAT4LS.

Sources of systematic bias in hypercapnia-calibrated functional MRI estimation of oxygen metabolism

Stefan K. Piechnik, Peter Jezzard, Daniel P. Bulte, 2007, NeuroImage.

Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping

Konrad Werys, Stefan K. Piechnik, Qiang Zhang, 2020, Artif. Intell. Medicine.

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study pdf

Graham Wright, Stefan K. Piechnik, Steffen E. Petersen, 2020, ArXiv.

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN

Alejandro F. Frangi, Bo Dong, Ali Gooya, 2018, IEEE Transactions on Biomedical Engineering.

Fully Automated Myocardial Strain Estimation from Cardiovascular MRI–tagged Images Using a Deep Learning Framework in the UK Biobank

Alistair A. Young, Stefan K. Piechnik, Nay Aung, 2020, Radiology. Cardiothoracic imaging.

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata pdf

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2019, MICCAI.

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Stefan K. Piechnik, Steffen E. Petersen, Andrew P. King, 2021, MICCAI.

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping

Stefan K. Piechnik, Stefan Neubauer, Qiang Zhang, 2021, Medical Image Anal..

Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets

Stefan K. Piechnik, Qiang Zhang, Evan Hann, 2021, MIUA.

T1 mapping and survival in systemic light-chain amyloidosis

Helen J. Lachmann, Julian D. Gillmore, Stefan K. Piechnik, 2015, European heart journal.

Systolic ShMOLLI myocardial T1-mapping for improved robustness to partial-volume effects and applications in tachyarrhythmias

Matthew D. Robson, Stefan K. Piechnik, Stefan Neubauer, 2015, Journal of Cardiovascular Magnetic Resonance.

Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

Stefan K. Piechnik, Steffen E. Petersen, Paul Leeson, 2017, Journal of Cardiovascular Magnetic Resonance.

Measurement of myocardial native T1 in cardiovascular diseases and norm in 1291 subjects

Stefan K. Piechnik, Stefan Neubauer, Andreas Greiser, 2017, Journal of Cardiovascular Magnetic Resonance.

A population-based phenome-wide association study of cardiac and aortic structure and function

Yike Guo, Daniel Rueckert, Florian Guitton, 2020, Nature Medicine.

Identification of Myocardial Disarray in Patients With Hypertrophic Cardiomyopathy and Ventricular Arrhythmias

Matthew D. Robson, Stefan K. Piechnik, Stefan Neubauer, 2019, Journal of the American College of Cardiology.

Gadolinium-Free Cardiac MR Stress T1-Mapping to Distinguish Epicardial From Microvascular Coronary Disease

Michael Jerosch-Herold, Stefan K. Piechnik, Stefan Neubauer, 2018, Journal of the American College of Cardiology.