Clinical Text Prediction with Numerically Grounded Conditional Language Models. - Georgios P. Spithourakis; Steffen E. Petersen; Sebastian Riedel 001 (Louhi@EMNLP, 2016)

Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans. - Valentina Carapella; Ernesto Jiménez-Ruiz; Elena Lukaschuk; Nay Aung; Kenneth Fung; José Miguel Paiva; Mihir Sanghvi; Stefan Neubauer; Steffen E. Petersen; Ian Horrocks 001; Stefan K. Piechnik (LABELS/DLMIA@MICCAI, 2016)

Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. - Le Zhang 005; Ali Gooya; Bo Dong 001; Rui Hua; Steffen E. Petersen; Pau Medrano-Gracia; Alejandro F. Frangi (SASHIMI@MICCAI, 2016)

Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA). - Ernesto Jiménez-Ruiz; Valentina Carapella; Elena Lukaschuk; Nay Aung; Kenneth Fung; José Miguel Paiva; Mihir Sanghvi; Stefan Neubauer; Steffen E. Petersen; Ian Horrocks 001; Stefan K. Piechnik (SWAT4LS, 2016)

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. - Irem Cetin; Gerard Sanroma; Steffen E. Petersen; Sandy Napel; Oscar Camara 001; Miguel Ángel González Ballester; Karim Lekadir (STACOM@MICCAI, 2017)

Human-level CMR image analysis with deep fully convolutional networks. - 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; et al. (CoRR, 2017)

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. - Rahman Attar; Marco Pereañez; Ali Gooya; Xènia Albà; Le Zhang 005; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (STACOM@MICCAI, 2018)

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. - Chen Qin; Wenjia Bai; Jo Schlemper; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Daniel Rueckert (MICCAI (2), 2018)

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. - Chen Qin; Wenjia Bai; Jo Schlemper; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Daniel Rueckert (MLMIR@MICCAI, 2018)

Real-Time Prediction of Segmentation Quality. - 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; et al. (MICCAI (4), 2018)

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. - Le Zhang 005; Marco Pereañez; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2018)

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. - Le Zhang 005; Ali Gooya; Marco Pereañez; Bo Dong 001; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (CoRR, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. - Le Zhang 005; Marco Pereañez; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study. - Kathleen Gilbert; Avan Suinesiaputra; Stefan Neubauer; Stefan K. Piechnik; Nay Aung; Steffen E. Petersen; Alistair A. Young (FIMH, 2019)

A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. - Irem Cetin; Steffen E. Petersen; Sandy Napel; Oscar Camara 001; Miguel Ángel González Ballester; Karim Lekadir (ISBI, 2019)

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. - Chen Chen 042; Carlo Biffi; Giacomo Tarroni; Steffen E. Petersen; Wenjia Bai; Daniel Rueckert (MICCAI (2), 2019)

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. - Rahman Attar; Marco Pereañez; Christopher Bowles; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2019)

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. - Wenjia Bai; Chen Chen 042; Giacomo Tarroni; Jinming Duan 001; Florian Guitton; Steffen E. Petersen; Yike Guo; Paul M. Matthews; Daniel Rueckert (MICCAI (2), 2019)

Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. - Víctor M. Campello; Carlos Martín-Isla; Cristian Izquierdo; Steffen E. Petersen; Miguel Ángel González Ballester; Karim Lekadir (STACOM@MICCAI, 2019)

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging. - Evan Hann; Luca Biasiolli; Qiang Zhang 009; Iulia A. Popescu; Konrad Werys; Elena Lukaschuk; Valentina Carapella; José Miguel Paiva; Nay Aung; Jennifer J. Rayner; Kenneth Fung; Henrike Puchta; et al. (MICCAI (2), 2019)

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. - Le Zhang 005; Marco Pereañez; Christopher Bowles; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2019)

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. - Le Zhang 005; Marco Pereañez; Christopher Bowles; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2019)

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. - 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; et al. (CoRR, 2019)

Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. - Qiao Zheng; Hervé Delingette; Kenneth Fung; Steffen E. Petersen; Nicholas Ayache (CoRR, 2019)

Improving the generalizability of convolutional neural network-based segmentation on CMR images. - Chen Chen 042; 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; et al. (CoRR, 2019)

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. - Rahman Attar; Marco Pereañez; Ali Gooya; Xènia Albà; Le Zhang 005; Milton Hoz de Vila; Aaron M. Lee; Nay Aung; Elena Lukaschuk; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; et al. (Medical Image Anal., 2019)

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. - Le Zhang 005; Ali Gooya; Marco Pereañez; Bo Dong 001; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (IEEE Trans. Biomed. Eng., 2019)

Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes. - Nay Aung; William J. Young; Stefan van Duijvenboden; Julia Ramírez; Steffen E. Petersen; Patricia B. Munroe (CinC, 2020)

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

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach. - Fumin Guo; Matthew Ng; Maged Goubran; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Graham A. Wright (Medical Image Anal., 2020)

A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Zahra Raisi-Estabragh; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir; Gloria Menegaz; Petia Radeva (CBMS, 2021)

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. - Esther Puyol-Antón; Bram Ruijsink; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Reza Razavi; Andrew P. King (MICCAI (3), 2021)

The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. - Musa Abdulkareem; Steffen E. Petersen (Frontiers Artif. Intell., 2021)

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. - Xiang Chen 008; Nishant Ravikumar; Yan Xia 002; Rahman Attar; Andres Diaz-Pinto; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Medical image segmentation automatic quality control: A multi-dimensional approach. - Joris Fournel; Axel Bartoli; David Bendahan; Maxime Guye; Monique Bernard; Elisa Rauseo; Mohammed Y. Khanji; Steffen E. Petersen; Alexis Jacquier; Badih Ghattas (Medical Image Anal., 2021)

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. - Yan Xia 002; Nishant Ravikumar; John P. Greenwood; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. - Yan Xia 002; Le Zhang 005; Nishant Ravikumar; Rahman Attar; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. - 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 (CoRR, 2022)

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. - Yan Xia 002; Xiang Chen 008; Nishant Ravikumar; Christopher Kelly; Rahman Attar; Nay Aung; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2022)

AI in the Real World. - Alistair A. Young; Steffen E. Petersen; Pablo Lamata (AI and Big Data in Cardiology, 2023)

Commentary on explainable artificial intelligence methods: SHAP and LIME. - Ahmed M. A. Salih; Zahra Raisi-Estabragh; Ilaria Boscolo Galazzo; Petia Radeva; Steffen E. Petersen; Gloria Menegaz; Karim Lekadir (CoRR, 2023)

DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. - Arezoo Zakeri; Alireza Hokmabadi; Ning Bi; Isuru Wijesinghe; Michael G. Nix; Steffen E. Petersen; Alejandro F. Frangi; Zeike A. Taylor; Ali Gooya (Medical Image Anal., 2023)

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study. - Matthew Ng; Fumin Guo; Labonny Biswas; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Graham A. Wright (IEEE Trans. Biomed. Eng., 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - 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 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. - Esmeralda Ruiz Pujadas; Nay Aung; Liliana Szabo; Zahra Raisi-Estabragh; Marina Camacho; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir (MIUA (2), 2024)

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. - Grzegorz Skorupko; Richard Osuala; Zuzanna Szafranowska; Kaisar Kushibar; Nay Aung; Steffen E. Petersen; Karim Lekadir; Polyxeni Gkontra (CoRR, 2024)

A review of evaluation approaches for explainable AI with applications in cardiology. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Polyxeni Gkontra; Elisa Rauseo; Aaron M. Lee; Karim Lekadir; Petia Radeva; Steffen E. Petersen; Gloria Menegaz (Artif. Intell. Rev., 2024)

Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. - Le Zhang 005; Kevin Bronik; Stefan K. Piechnik; Joao A. C. Lima; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (IEEE Trans. Artif. Intell., 2024)

Characterizing the Contribution of Dependent Features in XAI Methods. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Zahra Raisi-Estabragh; Steffen E. Petersen; Gloria Menegaz; Petia Radeva (IEEE J. Biomed. Health Informatics, 2024)

An Open-Source End-to-End Pipeline for Generating 3D+t Biventricular Meshes from Cardiac Magnetic Resonance Imaging. - Joshua R. Dillon; Charlène Alice Mauger; Debbie Zhao; Yu Deng; Steffen E. Petersen; Andrew D. McCulloch; Alistair A. Young; Martyn P. Nash (FIMH (2), 2025)

Automatic bi-atrial segmentation and biomarker extraction from late gadolinium-enhanced MRI using deep learning. - Fan Feng; James Kennelly; Zhaohan Xiong; Aaqel Nalar; Roshan Sharma; Steffen E. Petersen; Vadim V. Fedorov; Martin K. Stiles; Jichao Zhao (Expert Syst. Appl., 2025)

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME. - Ahmed M. A. Salih; Zahra Raisi-Estabragh; Ilaria Boscolo Galazzo; Petia Radeva; Steffen E. Petersen; Karim Lekadir; Gloria Menegaz (Adv. Intell. Syst., 2025)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. - Anghong Du; Nay Aung; Theodoros N. Arvanitis; Stefan K. Piechnik; Joao A. C. Lima; Steffen E. Petersen; Le Zhang 005 (CoRR, 2025)