Stefan K. Piechnik

43 papers Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. MICCAI (16) Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	J	`jnl`	RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. CoRR Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	—	`conf`	SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. MICCAI (8) Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	J	`jnl`	SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. CoRR Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2024	J	`jnl`	Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. IEEE Trans. Artif. Intell. Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2023	J	`jnl`	Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study. IEEE Trans. Biomed. Eng. Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright
2021	J	`jnl`	Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping. Medical Image Anal. Evan Hann, Iulia A. Popescu, Qiang Zhang, Ricardo A. Gonzales, Ahmet Barutcu, Stefan Neubauer, Vanessa M. Ferreira, Stefan K. Piechnik
2021	—	`conf`	Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets. MIUA Evan Hann, Ricardo A. Gonzales, Iulia A. Popescu, Qiang Zhang, Vanessa M. Ferreira, Stefan K. Piechnik
2021	—	`conf`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. MICCAI (3) Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	J	`jnl`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. CoRR Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	J	`jnl`	Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2021	J	`jnl`	Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Anal. Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2020	J	`jnl`	Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping. Artif. Intell. Medicine Qiang Zhang, Evan Hann, Konrad Werys, Cody Wu, Iulia A. Popescu, Elena Lukaschuk, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik
2020	J	`jnl`	Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study. CoRR Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright
2020	J	`jnl`	Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank. CoRR Edward Ferdian, Avan Suinesiaputra, Kenneth Fung, Nay Aung, Elena Lukaschuk, Ahmet Barutcu, Edd Maclean, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alistair A. Young
2020	J	`jnl`	Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach. Medical Image Anal. Fumin Guo, Matthew Ng, Maged Goubran, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright
2020	J	`jnl`	Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping. SoftwareX Konrad Werys, Iulius Dragonu, Qiang Zhang, Iulia A. Popescu, Evan Hann, Henrike Puchta, Agata Kubik, Dogan Polat, Cody Wu, Niall O. Moon, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik
2019	—	`conf`	3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. MICCAI (2) Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. CoRR Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. CoRR Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker
2019	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`conf`	End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study. FIMH Kathleen Gilbert, Avan Suinesiaputra, Stefan Neubauer, Stefan K. Piechnik, Nay Aung, Steffen E. Petersen, Alistair A. Young
2019	J	`jnl`	High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. CoRR Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`ch.`	Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	Improving the generalizability of convolutional neural network-based segmentation on CMR images. CoRR Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2019	J	`jnl`	Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. CoRR Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2019	—	`conf`	Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. MICCAI (2) Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`conf`	Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging. MICCAI (2) Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia A. Popescu, Konrad Werys, Elena Lukaschuk, Valentina Carapella, José Miguel Paiva, Nay Aung, Jennifer J. Rayner, Kenneth Fung, Henrike Puchta, Mihir M. Sanghvi, Niall O. Moon, Katharine E. Thomas, Vanessa M. Ferreira, Steffen E. Petersen, Stefan Neubauer, Stefan K. Piechnik
2019	J	`jnl`	Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Anal. Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Milton Hoz de Vila, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`conf`	Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. MICCAI (2) Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	—	`conf`	High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. STACOM@MICCAI Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	—	`conf`	Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. MICCAI (2) Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	J	`jnl`	Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. CoRR Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	—	`conf`	Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. MLMIR@MICCAI Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	—	`conf`	Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. MICCAI (2) Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	—	`conf`	Real-Time Prediction of Segmentation Quality. MICCAI (4) Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker
2018	J	`jnl`	Real-time Prediction of Segmentation Quality. CoRR Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Human-level CMR image analysis with deep fully convolutional networks. CoRR Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert
2016	—	`conf`	Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA). SWAT4LS Ernesto Jiménez-Ruiz, Valentina Carapella, Elena Lukaschuk, Nay Aung, Kenneth Fung, José Miguel Paiva, Mihir Sanghvi, Stefan Neubauer, Steffen E. Petersen, Ian Horrocks, Stefan K. Piechnik
2016	—	`conf`	Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans. LABELS/DLMIA@MICCAI Valentina Carapella, Ernesto Jiménez-Ruiz, Elena Lukaschuk, Nay Aung, Kenneth Fung, José Miguel Paiva, Mihir Sanghvi, Stefan Neubauer, Steffen E. Petersen, Ian Horrocks, Stefan K. Piechnik
2008	J	`jnl`	Modelling vascular reactivity to investigate the basis of the relationship between cerebral blood volume and flow under CO NeuroImage Stefan K. Piechnik, Peter A. Chiarelli, Peter Jezzard
2007	J	`jnl`	Sources of systematic bias in hypercapnia-calibrated functional MRI estimation of oxygen metabolism. NeuroImage Peter A. Chiarelli, Daniel P. Bulte, Stefan K. Piechnik, Peter Jezzard