Steffen E. Petersen

78 papers B 1Journal 48Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chain of Flow: A Foundational Generative Framework for ECG-to-4D Cardiac Digital Twins. CoRR Haofan Wu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2026	J	`jnl`	Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis. CoRR Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Daniel C. Alexander, Le Zhang
2025	J	`jnl`	A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME. Adv. Intell. Syst. Ahmed M. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Karim Lekadir, Gloria Menegaz
2025	—	`conf`	An Open-Source End-to-End Pipeline for Generating 3D+t Biventricular Meshes from Cardiac Magnetic Resonance Imaging. FIMH (2) Joshua R. Dillon, Charlène Alice Mauger, Debbie Zhao, Yu Deng, Steffen E. Petersen, Andrew D. McCulloch, Alistair A. Young, Martyn P. Nash
2025	J	`jnl`	Automatic bi-atrial segmentation and biomarker extraction from late gadolinium-enhanced MRI using deep learning. Expert Syst. Appl. Fan Feng, James Kennelly, Zhaohan Xiong, Aaqel Nalar, Roshan Sharma, Steffen E. Petersen, Vadim V. Fedorov, Martin K. Stiles, Jichao Zhao
2025	—	`conf`	Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation. PRIME@MICCAI Enrique Almar-Munoz, Marawan Elbatel, Cristian Izquierdo, Illia Stepin, Machteld J. Boonstra, Xiaomeng Li, Christian Kremser, Matthias Schwab, Steffen E. Petersen, Markus Haltmeier, Agnes Mayr, Karim Lekadir
2025	—	`conf`	Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models. FAIMI@MICCAI Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Vien Ngoc Dang, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2025	J	`jnl`	Implicit Neural Representations of Intramyocardial Motion and Strain. CoRR Andrew Bell, Yan Kit Choi, Steffen E. Petersen, Andrew P. King, Muhummad Sohaib Nazir, Alistair A. Young
2025	J	`jnl`	Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations. CoRR Marica Muffoletto, Uxio Hermida, Charlène Alice Mauger, Avan Suinesiaputra, Yiyang Xu, Richard Burns, Lisa R. Pankewitz, Andrew D. McCulloch, Steffen E. Petersen, Daniel Rueckert, Alistair A. Young
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`	A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz
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
2024	J	`jnl`	Characterizing the Contribution of Dependent Features in XAI Methods. IEEE J. Biomed. Health Informatics Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva
2024	J	`jnl`	Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2024	—	`conf`	Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. MIUA (2) Esmeralda Ruiz Pujadas, Nay Aung, Liliana Szabo, Zahra Raisi-Estabragh, Marina Camacho, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir
2023	—	`ch.`	AI in the Real World. AI and Big Data in Cardiology Alistair A. Young, Steffen E. Petersen, Pablo Lamata
2023	J	`jnl`	Characterizing the contribution of dependent features in XAI methods. CoRR Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva
2023	J	`jnl`	Commentary on explainable artificial intelligence methods: SHAP and LIME. CoRR Ahmed M. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
2023	J	`jnl`	DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. Medical Image Anal. Arezoo Zakeri, Alireza Hokmabadi, Ning Bi, Isuru Wijesinghe, Michael G. Nix, Steffen E. Petersen, Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya
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
2022	J	`jnl`	Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Anal. Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2022	J	`jnl`	Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. CoRR Jorge Mariscal Harana, Clint Asher, Vittoria Vergani, Maleeha Rizvi, Louise Keehn, Raymond J. Kim, Robert M. Judd, Steffen E. Petersen, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2021	B	`conf`	A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva
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`	Medical image segmentation automatic quality control: A multi-dimensional approach. Medical Image Anal. Joris Fournel, Axel Bartoli, David Bendahan, Maxime Guye, Monique Bernard, Elisa Rauseo, Mohammed Y. Khanji, Steffen E. Petersen, Alexis Jacquier, Badih Ghattas
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
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
2021	J	`jnl`	Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Anal. Yan Xia, Nishant Ravikumar, John P. Greenwood, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2021	J	`jnl`	The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Frontiers Artif. Intell. Musa Abdulkareem, Steffen E. Petersen
2020	J	`jnl`	A radiomics approach to analyze cardiac alterations in hypertension. CoRR Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir
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	—	`conf`	Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes. CinC Nay Aung, William J. Young, Stefan van Duijvenboden, Julia Ramírez, Steffen E. Petersen, Patricia B. Munroe
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
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	—	`conf`	A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. ISBI Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir
2019	J	`jnl`	A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. CoRR Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir
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`	Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. STACOM@MICCAI Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir
2019	J	`jnl`	Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. CoRR Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir
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`	Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. MICCAI (2) Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. CoRR Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, 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`	Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI (2) Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
2019	J	`jnl`	Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. CoRR Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
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
2019	J	`jnl`	Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. CoRR Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache
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	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
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	—	`conf`	A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. STACOM@MICCAI Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir
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`	Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi
2016	—	`conf`	Clinical Text Prediction with Numerically Grounded Conditional Language Models. Louhi@EMNLP Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel
2016	J	`jnl`	Clinical Text Prediction with Numerically Grounded Conditional Language Models. CoRR Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel
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