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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 - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - 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 (