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2020 – today
- 2025
[e4]Alberto Gómez
, Bishesh Khanal, Andrew P. King, Ana I. L. Namburete:
Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15186, Springer 2025, ISBN 978-3-031-73646-9 [contents]- [e3]Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson:
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings. Lecture Notes in Computer Science 15198, Springer 2025, ISBN 978-3-031-72786-3 [contents] - 2024
- [j38]Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. 71(3): 855-865 (2024) - [c99]Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King:
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. ASMUS@MICCAI 2024: 112-121 - [i52]Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King:
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling. CoRR abs/2403.07818 (2024) - [i51]Tareen Dawood, Bram Ruijsink, Reza Razavi, Andrew P. King, Esther Puyol-Antón:
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. CoRR abs/2405.06487 (2024) - [i50]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Sebastien Roujol, Theodore Barfoot, Shaheim Ogbomo-Harmitt, Miaojing Shi, Andrew P. King:
An investigation into the causes of race bias in AI-based cine CMR segmentation. CoRR abs/2408.02462 (2024) - [i49]Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón, Paul Aljabar, Reza Razavi, Andrew P. King:
Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation. CoRR abs/2408.11754 (2024) - [i48]Zhen Yuan, David Stojanovski, Lei Li, Alberto Gómez, Haran Jogeesvaran, Esther Puyol-Antón, Baba Inusa, Andrew P. King:
DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images. CoRR abs/2411.11190 (2024) - [i47]George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader:
Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling. CoRR abs/2412.04319 (2024) - [i46]George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader:
Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction. CoRR abs/2412.04324 (2024) - [i45]George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader:
Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction. CoRR abs/2412.04339 (2024) - 2023
- [j37]Matthieu Ruthven, Marc E. Miquel, Andrew P. King:
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. Biomed. Signal Process. Control. 80(Part): 104290 (2023) - [j36]Tareen Dawood, Chen Chen, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. 88: 102861 (2023) - [j35]Nick Byrne, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King:
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging 42(1): 3-14 (2023) - [c98]Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI 2023: 122-131 - [c97]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King:
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI 2023: 215-224 - [c96]Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King:
An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CLIP/FAIMI/EPIMI@MICCAI 2023: 225-234 - [c95]Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Antón:
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. ISBI 2023: 1-5 - [c94]Paula Ramirez Gilliland, Uxio Hermida, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Adelaide de Vecchi, Andrew P. King, Pablo Lamata, Maria Deprez:
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. PIPPI@MICCAI 2023: 53-63 - [c93]Hamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez:
Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. MICCAI (1) 2023: 152-161 - [c92]Shaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andrew P. King, Oleg V. Aslanidi:
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation. STACOM@MICCAI 2023: 174-185 - [p5]Andrew P. King, Nicolas Duchateau:
Introduction. AI and Big Data in Cardiology 2023: 1-10 - [p4]Nicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King:
AI and Machine Learning: The Basics. AI and Big Data in Cardiology 2023: 11-33 - [p3]Nicolas Duchateau, Oscar Camara, Rafael Sebastián, Andrew P. King:
Analysis of Non-imaging Data. AI and Big Data in Cardiology 2023: 183-200 - [p2]Andrew P. King, Nicolas Duchateau:
Conclusions. AI and Big Data in Cardiology 2023: 201-203 - [e2]Nicolas Duchateau, Andrew P. King:
AI and Big Data in Cardiology: A Practical Guide. Springer International Publishing 2023, ISBN 978-3-031-05070-1 [contents] - [e1]Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - [i44]Hamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, VITAL Consortium, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez:
Automatic retrieval of corresponding US views in longitudinal examinations. CoRR abs/2306.04739 (2023) - [i43]Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Baba Inusa, Andrew P. King:
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views. CoRR abs/2308.08038 (2023) - [i42]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King:
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR abs/2308.13415 (2023) - [i41]Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Bias in Unsupervised Anomaly Detection in Brain MRI. CoRR abs/2308.13861 (2023) - [i40]Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR abs/2308.15141 (2023) - [i39]Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King:
An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CoRR abs/2309.17197 (2023) - [i38]Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez:
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI. CoRR abs/2311.07234 (2023) - 2022
- [j34]Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Nicola Smith, Baba Inusa, Andrew P. King:
Deep learning-based quality-controlled spleen assessment from ultrasound images. Biomed. Signal Process. Control. 76: 103724 (2022) - [j33]Esther Puyol-Antón, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Andrew P. King:
A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Anal. 79: 102465 (2022) - [j32]James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8766-8778 (2022) - [j31]Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz:
Channel Attention Networks for Robust MR Fingerprint Matching. IEEE Trans. Biomed. Eng. 69(4): 1398-1405 (2022) - [c91]Shaheim Ogbomo-Harmitt, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi:
Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation. CinC 2022: 1-4 - [c90]Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King:
A Study of Demographic Bias in CNN-Based Brain MR Segmentation. MLCN@MICCAI 2022: 13-22 - [c89]Laia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano:
Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. AMAI@MICCAI 2022: 49-58 - [c88]Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King:
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. ASMUS@MICCAI 2022: 75-85 - [c87]Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez:
Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. PIPPI@MICCAI 2022: 82-93 - [c86]Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi:
TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. LAScarQS@MICCAI 2022: 106-114 - [c85]Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King:
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI 2022: 168-177 - [c84]Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI 2022: 101-111 - [c83]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King:
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI 2022: 233-244 - [i37]Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King:
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR abs/2203.11726 (2022) - [i36]Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR abs/2205.01673 (2022) - [i35]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:
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. CoRR abs/2206.08137 (2022) - [i34]Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King:
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. CoRR abs/2208.03305 (2022) - [i33]Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King:
A Study of Demographic Bias in CNN-based Brain MR Segmentation. CoRR abs/2208.06613 (2022) - [i32]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King:
A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR abs/2209.01627 (2022) - [i31]Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR abs/2209.14212 (2022) - [i30]Miguel Xochicale, Louise Thwaites, Sophie Yacoub, Luigi Pisani, Phung Tran Huy Nhat, Hamideh Kerdegari, Andrew P. King, Alberto Gómez:
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries. CoRR abs/2212.14510 (2022) - 2021
- [j30]Matthieu Ruthven, Marc E. Miquel, Andrew P. King:
Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. Comput. Methods Programs Biomed. 198: 105814 (2021) - [j29]Christopher J. Arthurs, Andrew P. King:
Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations. J. Comput. Phys. 438: 110364 (2021) - [c82]Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King:
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. MICCAI (3) 2021: 413-423 - [c81]Dewmini Hasara Wickremasinghe, Natallia Khenkina, Pier-Giorgio Masci, Andrew P. King, Esther Puyol-Antón:
Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance. MIUA 2021: 98-107 - [c80]Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI 2021: 12-20 - [c79]Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel:
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI 2021: 57-65 - [c78]Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. STACOM@MICCAI 2021: 84-92 - [c77]Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. STACOM@MICCAI 2021: 189-198 - [i29]Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King:
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. CoRR abs/2106.12387 (2021) - [i28]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR abs/2107.12689 (2021) - [i27]Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR abs/2109.07955 (2021) - [i26]Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-based segmentation of apical and basal slices from clinical cine CMR. CoRR abs/2109.09421 (2021) - [i25]Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. CoRR abs/2109.10641 (2021) - [i24]Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel:
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR abs/2109.13230 (2021) - 2020
- [j28]Sofia Monaci, Marina Strocchi, Cristóbal Rodero, Karli Gillette, John Whitaker, Ronak Rajani, Christopher A. Rinaldi, Mark D. O'Neill, Gernot Plank, Andrew P. King, Martin J. Bishop:
In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. Comput. Biol. Medicine 125: 104005 (2020) - [j27]James R. Clough, Daniel R. Balfour, Gastão Cruz, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 988-997 (2020) - [j26]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging 39(12): 4001-4010 (2020) - [c76]Marta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee:
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. EMBC 2020: 1178-1181 - [c75]Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King:
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 3-13 - [c74]Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King:
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. ASMUS/PIPPI@MICCAI 2020: 33-41 - [c73]Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 97-107 - [c72]Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela:
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 137-145 - [c71]Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) 2020: 284-293 - [c70]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) 2020: 813-823 - [i23]Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King:
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR abs/2001.11711 (2020) - [i22]Christopher J. Arthurs, Andrew P. King:
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations. CoRR abs/2005.05092 (2020) - [i21]Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR abs/2006.13811 (2020) - [i20]Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR abs/2008.09585 (2020) - [i19]Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-aware semi-supervised learning for CMR segmentation. CoRR abs/2009.00584 (2020) - [i18]Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King:
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. CoRR abs/2009.02704 (2020) - [i17]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D surface reconstruction from sparse MRI information. CoRR abs/2010.02041 (2020) - [i16]Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz:
Channel Attention Networks for Robust MR Fingerprinting Matching. CoRR abs/2012.01241 (2020)
2010 – 2019
- 2019
- [j25]Rebekka Schleier, Jana M. Iverson, Andrew P. King, Meredith J. West:
Transitivity Types Predict Communicative Abilities in Infants at Risk of Autism*. J. Soc. Struct. 20(1): 119-139 (2019) - [j24]Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. 55: 136-147 (2019) - [j23]Esther Puyol-Antón, Bram Ruijsink, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King:
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. 66(4): 956-966 (2019) - [c69]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC 2019: 2723-2726 - [c68]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI 2019: 16-28 - [c67]Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI 2019: 1537-1540 - [c66]Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI 2019: 22-30 - [c65]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI 2019: 181-188 - [c64]James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel:
Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) 2019: 656-664 - [c63]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel:
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) 2019: 695-703 - [c62]Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL 2019: 380-389 - [i15]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR abs/1901.10244 (2019) - [i14]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR abs/1905.07198 (2019) - [i13]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel:
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR abs/1906.05695 (2019) - [i12]James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel:
Global and Local Interpretability for Cardiac MRI Classification. CoRR abs/1906.06188 (2019) - [i11]Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR abs/1908.04538 (2019) - [i10]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR abs/1908.08870 (2019) - [i9]Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert:
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR abs/1909.10995 (2019) - [i8]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR abs/1910.01877 (2019) - [i7]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR abs/1910.05370 (2019) - 2018
- [j22]Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Anal. 43: 169-185 (2018) - [c61]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC 2018: 714-717 - [c60]James R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
MRI slice stacking using manifold alignment and wave kernel signatures. ISBI 2018: 319-323 - [c59]Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Automatic left ventricular outflow tract classification for accurate cardiac MR planning. ISBI 2018: 462-465 - [c58]Daniel R. Balfour, James R. Clough, Xin Chen, Martin A. Belzunce, Claudia Prieto, Paul K. Marsden, Andrew J. Reader, Andrew P. King:
PET-MR respiratory signal estimation using semi-supervised manifold alignment. ISBI 2018: 599-603 - [c57]Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair:
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. ISBI 2018: 1139-1143 - [c56]Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. MLMIR@MICCAI 2018: 21-29 - [c55]Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel:
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI 2018: 32-41 - [c54]James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King:
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. MLCN/DLF/iMIMIC@MICCAI 2018: 61-69 - [c53]Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King:
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI 2018: 94-102 - [c52]Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. MICCAI (1) 2018: 250-258 - [c51]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI 2018: 300-310 - [c50]Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel:
Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI 2018: 371-380 - [i6]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR abs/1804.09102 (2018) - [i5]Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King:
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR abs/1807.10653 (2018) - [i4]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. CoRR abs/1807.11272 (2018) - [i3]Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. CoRR abs/1808.05130 (2018) - [i2]Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR abs/1810.12185 (2018) - [i1]Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR abs/1812.08155 (2018) - 2017
- [j21]Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King:
Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. 35: 83-100 (2017) - [j20]Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. Medical Image Anal. 35: 669-684 (2017) - [j19]Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P. King:
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Anal. 40: 96-110 (2017) - [j18]Devis Peressutti, Alberto Gómez, Graeme P. Penney, Andrew P. King:
Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric. IEEE Trans. Biomed. Eng. 64(2): 352-361 (2017) - [j17]Xin Chen, Muhammad Usman, Christian F. Baumgartner, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King:
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. IEEE Trans. Medical Imaging 36(4): 960-971 (2017) - [c49]Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King:
Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. STACOM@MICCAI 2017: 3-11 - [c48]Bram Ruijsink, Esther Puyol-Antón, Muhammad Usman, Joshua van Amerom, Phuoc Duong, Mari Nieves Velasco Forte, Kuberan Pushparajah, Alessandra Frigiola, David A. Nordsletten, Andrew P. King, Reza Razavi:
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. CMMI/RAMBO/SWITCH@MICCAI 2017: 86-95 - [c47]Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert:
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. MICCAI (2) 2017: 253-260 - [c46]Xin Chen, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King:
Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. MICCAI (2) 2017: 270-278 - [c45]Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King:
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. MICCAI (2) 2017: 332-340 - 2016
- [c44]Esther Puyol-Antón, Devis Peressutti, Paul Aljabar, Mathieu De Craene, Paolo Piro, Andrew P. King:
Towards a multimodal cardiac motion atlas. ISBI 2016: 32-35 - [c43]Maria Panayiotou, Devis Peressutti, Andrew P. King, Kawal S. Rhode, Richard James Housden:
Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images. STACOM@MICCAI 2016: 3-10 - [c42]Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. STACOM@MICCAI 2016: 57-65 - [c41]Xin Chen, Muhammad Usman, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King:
Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. MICCAI (3) 2016: 493-501 - 2015
- [j16]Mazen Alhrishy, Andreas Varnavas, Tom Carrell, Andrew P. King, Graeme P. Penney:
Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration. Medical Image Anal. 19(1): 137-148 (2015) - [c40]Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O'Regan, Andrew P. King, Daniel Rueckert:
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. FIMH 2015: 3-11 - [c39]Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King:
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI 2015: 363-374 - [c38]Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert:
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. STACOM@MICCAI 2015: 13-20 - [c37]Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. STACOM@MICCAI 2015: 30-39 - [c36]Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. MICCAI (3) 2015: 493-500 - [c35]Mazen Alhrishy, Andreas Varnavas, Alexis Guyot, Tom Carrell, Andrew P. King, Graeme P. Penney:
Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration. Image Processing 2015: 94131O - [c34]Woo-Jin Cho Kim, Andrew P. King, Devis Peressutti:
Respiratory Motion Modelling Using Supervised Principal Component Analysis. MIUA 2015: 74-79 - 2014
- [j15]Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King:
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. 18(7): 939-952 (2014) - [j14]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Andrew P. King:
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Medical Image Anal. 18(7): 1015-1025 (2014) - [c33]Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King:
Autoadaptive motion modelling. ISBI 2014: 457-460 - [c32]Maria Panayiotou, Andrew P. King, Richard James Housden, YingLiang Ma, Michael V. Truong, Michael Cooklin, Mark D. O'Neill, Jaswinder S. Gill, C. Aldo Rinaldi, Kawal S. Rhode:
Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures. STACOM 2014: 158-167 - [c31]Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith:
Manifold Learning for Cardiac Modeling and Estimation Framework. STACOM 2014: 284-294 - 2013
- [j13]Jamie McClelland, David J. Hawkes, Tobias Schaeffter, Andrew P. King:
Respiratory motion models: A review. Medical Image Anal. 17(1): 19-42 (2013) - [j12]Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King:
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. 17(4): 488-502 (2013) - [c30]Richard James Housden, Mandeep Basra, YingLiang Ma, Andrew P. King, Roland Bullens, Nick Child, Jaswinder S. Gill, C. Aldo Rinaldi, Victoria Parish, Kawal S. Rhode:
Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions. FIMH 2013: 158-165 - [c29]Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King:
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. IPMI 2013: 232-243 - [c28]Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Richard James Housden, Alberto Gómez, Kawal S. Rhode, Andrew P. King:
A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. ISBI 2013: 29-32 - [c27]Mazen Alhrishy, Andreas Varnavas, Tom Carrell, Andrew P. King, Graeme P. Penney:
Interventional Digital Tomosynthesis from a Standard Fluoroscopy System Using 2D-3D Registration. MICCAI (3) 2013: 98-105 - [c26]Maria Panayiotou, Andrew P. King, Kanwal K. Bhatia, Richard James Housden, YingLiang Ma, C. Aldo Rinaldi, Jaswinder S. Gill, Michael Cooklin, Mark D. O'Neill, Kawal S. Rhode:
Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. STACOM 2013: 126-134 - 2012
- [j11]Andrew P. King, Christian Buerger, Charalampos Tsoumpas, Paul K. Marsden, Tobias Schaeffter:
Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator. Medical Image Anal. 16(1): 252-264 (2012) - [j10]YingLiang Ma, Andy P. King, Nicolas Gogin, Geert Gijsbers, C. Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S. Rhode:
Clinical Evaluation of Respiratory Motion Compensation for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. IEEE Trans. Biomed. Eng. 59(1): 122-131 (2012) - [j9]Christian Buerger, Rachel E. Clough, Andrew P. King, Tobias Schaeffter, Claudia Prieto:
Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI. IEEE Trans. Medical Imaging 31(3): 805-815 (2012) - [c25]Maria Panayiotou, Andrew P. King, YingLiang Ma, C. Aldo Rinaldi, Jaspal Gill, Michael Cooklin, Mark D. O'Neill, Kawal S. Rhode:
Automatic image-based retrospective gating of interventional cardiac X-ray images. EMBC 2012: 4970-4973 - [c24]Devis Peressutti, Erik-Jan Rijkhorst, Dean C. Barratt, Graeme P. Penney, Andy P. King:
Estimating and resolving uncertainty in cardiac respiratory motion modelling. ISBI 2012: 262-265 - [p1]Philip G. Batchelor, P. J. Eddie Edwards, Andrew P. King:
3D Medical Imaging. 3D Imaging, Analysis and Applications 2012: 445-495 - 2011
- [j8]Christian Buerger, Tobias Schaeffter, Andrew P. King:
Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation. Medical Image Anal. 15(4): 551-564 (2011) - [c23]YingLiang Ma, Andy P. King, Nicolas Gogin, Geert Gijsbers, C. Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S. Rhode:
Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. FIMH 2011: 55-62 - [c22]F. Savill, Tobias Schaeffter, Andrew P. King:
Assessment of input signal positioning for cardiac respiratory motion models during different breathing patterns. ISBI 2011: 1698-1701 - [c21]Nicholas McGlashan, Andrew P. King:
Capturing breathing motion variability using two signal motion models of the heart. MIUA 2011: 167-172 - 2010
- [j7]Andrew P. King, Christian Jansen, Kawal S. Rhode, Dennis Caulfield, Reza Razavi, Graeme P. Penney:
Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography. Medical Image Anal. 14(1): 21-29 (2010) - [j6]Andrew P. King, Kawal S. Rhode, YingLiang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Graeme P. Penney:
Registering Preprocedure Volumetric Images With Intraprocedure 3-D Ultrasound Using an Ultrasound Imaging Model. IEEE Trans. Medical Imaging 29(3): 924-937 (2010) - [c20]Christian Buerger, Tobias Schaeffter, Andrew P. King:
Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI. ISBI 2010: 1237-1240 - [c19]YingLiang Ma, Andrew P. King, Nicolas Gogin, C. Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S. Rhode:
Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. MICCAI (1) 2010: 391-399 - [c18]Andrew P. King, Christian Buerger, Tobias Schaeffter:
Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images. WBIR 2010: 222-233
2000 – 2009
- 2009
- [j5]Andrew P. King, Redha Boubertakh, Kawal S. Rhode, YingLiang Ma, Phani Chinchapatnam, Gang Gao, T. Tangcharoen, Matthew Ginks, Michael Cooklin, Jaswinder S. Gill, David J. Hawkes, Reza Razavi, Tobias Schaeffter:
A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures. Medical Image Anal. 13(3): 419-431 (2009) - [j4]Andrew P. King, Kawal S. Rhode, Reza Razavi, Tobias Schaeffter:
An Adaptive and Predictive Respiratory Motion Model for Image-Guided Interventions: Theory and First Clinical Application. IEEE Trans. Medical Imaging 28(12): 2020-2032 (2009) - [c17]Andrew P. King, YingLiang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Kawal S. Rhode, Graeme P. Penney:
Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model. IPMI 2009: 188-201 - [c16]YingLiang Ma, Kawal S. Rhode, Andrew P. King, Dennis Caulfield, Michael Cooklin, Reza Razavi, Graeme P. Penney:
Echocardiography to magnetic resonance image registration for use in image-guide electrophysiology procedures. Image-Guided Procedures 2009: 72610Q - 2008
- [c15]Andrew P. King, Christian Jansen, Redha Boubertakh, Kawal S. Rhode, Reza Razavi, Graeme P. Penney:
Model-based respiratory motion correction using 3-D echocardiography. ISBI 2008: 1465-1468 - [c14]YingLiang Ma, Kawal S. Rhode, Gang Gao, Andrew P. King, Phani Chinchapatnam, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Graeme P. Penney:
Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures. Image-Guided Procedures 2008: 69180O - [c13]Gang Gao, Segolene Tarte, Andy P. King, YingLiang Ma, Phani Chinchapatnam, Tobias Schaeffter, Reza Razavi, Dave Hawkes, Derek L. G. Hill, Kawal S. Rhode:
Validation of the use of photogrammetry to register pre-procedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures. Image-Guided Procedures 2008: 69181Q - [c12]Kawal S. Rhode, YingLiang Ma, Angela Chandrasena, Andrew P. King, Gang Gao, Phani Chinchapatnam, Maxime Sermesant, David J. Hawkes, Tobias Schaeffter, Jaswinder S. Gill, Reza Razavi:
Evaluation of the use of multimodality skin markers for the registration of pre-procedure cardiac MR images and intra-procedure x-ray fluoroscopy images for image guided cardiac electrophysiology procedures. Image-Guided Procedures 2008: 69181R - [c11]Andrew P. King, Redha Boubertakh, K. L. Ng, YingLiang Ma, Phani Chinchapatnam, Gang Gao, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Kawal S. Rhode:
A technique for respiratory motion correction in image guided cardiac catheterisation procedures. Image-Guided Procedures 2008: 691816 - [c10]Graeme P. Penney, Lewis D. Griffin, Andrew P. King, David J. Hawkes:
A novel framework for multi-modal intensity-based similarity measures based on internal similarity. Image Processing 2008: 69140X - [c9]YingLiang Ma, Kawal S. Rhode, Andy P. King, Gang Gao, Phani Chinchapatnam, Tobias Schaeffter, Reza Razavi, Kurt Saetzler:
Time-varying Image Data Visualization Framework for Application in Cardiac Catheterization Procedures. TPCG 2008: 137-140 - 2007
- [c8]Phani Chinchapatnam, Kawal S. Rhode, Andrew P. King, Gang Gao, YingLiang Ma, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Derek L. G. Hill, Simon R. Arridge, Maxime Sermesant:
Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. MICCAI (1) 2007: 575-583 - 2005
- [j3]Jane M. Blackall, Graeme P. Penney, Andrew P. King, David J. Hawkes:
Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation. IEEE Trans. Medical Imaging 24(11): 1405-1416 (2005) - 2004
- [c7]Jane M. Blackall, Graeme P. Penney, Andrew P. King, Andreas N. Adam, David J. Hawkes:
Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation. Image-Guided Procedures 2004 - 2001
- [c6]Andrew P. King, Philipp G. Batchelor, Graeme P. Penney, Jane M. Blackall, Derek L. G. Hill, David J. Hawkes:
Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound. IPMI 2001: 155-161 - [c5]Graeme P. Penney, Philip J. Edwards, Andrew P. King, Jane M. Blackall, Philipp G. Batchelor, David J. Hawkes:
A Stochastic Iterative Closest Point Algorithm (stochastICP). MICCAI 2001: 762-769 - [c4]Jane M. Blackall, Andrew P. King, Graeme P. Penney, Andreas N. Adam, David J. Hawkes:
A Statistical Model of Respiratory Motion and Deformation of the Liver. MICCAI 2001: 1338-1340 - 2000
- [j2]Andrew P. King, Philip J. Edwards, Calvin R. Maurer Jr., Darryl A. de Cunha, Ronald P. Gaston, Matthew J. Clarkson, Derek L. G. Hill, David J. Hawkes, Michael R. Fenlon, Anthony J. Strong, Tim C. S. Cox, Michael J. Gleeson:
Stereo Augmented Reality in the Surgical Microscope. Presence Teleoperators Virtual Environ. 9(4): 360-368 (2000) - [j1]Philip J. Edwards, Andrew P. King, Calvin R. Maurer Jr., Darryl A. de Cunha, David J. Hawkes, Derek L. G. Hill, Ronald P. Gaston, Michael R. Fenlon, A. Jusczyzck, Anthony J. Strong, Christopher L. Chandler, Michael J. Gleeson:
Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). IEEE Trans. Medical Imaging 19(11): 1082-1093 (2000) - [c3]Andrew P. King, Jane M. Blackall, Graeme P. Penney, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes:
Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound. MICCAI 2000: 588-597
1990 – 1999
- 1999
- [c2]Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes:
Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. MICCAI 1999: 579-588 - [c1]Philip J. Edwards, Andrew P. King, Calvin R. Maurer Jr., Darryl A. de Cunha, David J. Hawkes, Derek L. G. Hill, Ronald P. Gaston, Michael R. Fenlon, Subhash Chandra, Anthony J. Strong, Christopher L. Chandler, Aurelia Richards, Michael J. Gleeson:
Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). MICCAI 1999: 842-851
Coauthor Index
[e3] [j38] [c99] [i52] [i51] [i50] [i49] [i48] [j36] [c98] [c97] [c95] [p4] [e1] [i43] [i42] [i41] [i40] [j34] [j33] [c88] [c85] [c84] [c83] [i37] [i36] [i35] [i34] [i32] [i31] [c82] [c81] [c80] [c79] [c78] [c77] [i29] [i27] [i26] [i25] [i24] [j26] [c74] [c73] [c71] [c70] [i23] [i21] [i19] [i18] [i17] [j24] [j23] [c66] [c64] [c63] [c62] [i13] [i12] [i11] [i7] [j22] [c59] [c57] [c55] [c53] [c52] [c51] [i5] [i4] [i3] [i2] [j19] [c49] [c48] [c45] [c44] [c42]
[j38] [c99] [i52] [i51] [i50] [j36] [c97] [p4] [i42] [i40] [c88] [c85] [c84] [c83] [i37] [i36] [i35] [i34] [i32] [i31] [c82] [c80] [c79] [c78] [c77] [i29] [i27] [i26] [i25] [i24] [j26] [c73] [c71] [i23] [i21] [i19] [j24] [j23] [c66] [c64] [c63] [c62] [i13] [i12] [i11] [i7] [c59] [c57] [c55] [c53] [c52] [i5] [i3] [i2] [c48]
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