Publications

2022 (3)

• Jacqueline Matthew, Emily Skelton, Thomas G Day, Veronika A Zimmer, Alberto Gomez, Gavin Wheeler, Nicolas Toussaint, Tianrui Liu, Samuel Budd, Karen Lloyd, others, Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time, Prenatal diagnosis, volume 42, pp.49–59, 2022
• Alberto Gomez, Veronika A Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthew, Bernhard Kainz, Jo Hajnal, others, PRETUS: A plug-in based platform for real-time ultrasound imaging research, SoftwareX, volume 17, pp.100959, 2022
• Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz, Video summarization through reinforcement learning with a 3D spatio-temporal u-net, IEEE Transactions on Image Processing, volume 31, pp.1573–1586, 2022

2021 (23)

• Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng Ann Heng, Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study, npj Digital Medicine, volume 4, pp.60, 2021
• Thomas G. Day, Bernhard Kainz, Jo Hajnal, Reza Razavi, John M. Simpson, Artificial intelligence, fetal echocardiography, and congenital heart disease, Prenatal Diagnosis, volume n/a, pp., 2021
• Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V Hajnal, A David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary, CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, pp.221–230, 2021
• Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Lo"ic Le Folgoc, Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo, arXiv preprint arXiv:2110.13289, 2021
• Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz, Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer, arXiv preprint arXiv:2111.03485, 2021
• Giulio Jiang, Bernhard Kainz, Deep radiance caching: Convolutional autoencoders deeper in ray tracing, Computers & Graphics, volume 94, pp.22–31, 2021
• Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz, Unsupervised Human Pose Estimation through Transforming Shape Templates, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.2484–2494, 2021
• Joon-Ho Son, Amir Alansary, Daniel Rueckert, Bernhard Kainz, Benjamin Hou, Synthesis of Diabetic Retina Fundus Images Using Semantic Label Generation, 2021
• Samuel Budd, Emma C Robinson, Bernhard Kainz, A survey on active learning and human-in-the-loop deep learning for medical image analysis, Medical Image Analysis, pp.102062, 2021
• Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz, Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net, arXiv preprint arXiv:2106.10528, 2021
• Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz, Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp.495–505, 2021
• Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz, RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp.293–303, 2021
• Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz, Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp.207–217, 2021
• Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, Bernhard Kainz, Detecting Outliers with Poisson Image Interpolation, arXiv preprint arXiv:2107.02622, 2021
• Samuel Budd, Thomas Day, John Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz, Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, pp.251–262, 2021
• Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal Bhatia, Bernhard Kainz, Arian Beqiri, Contrastive Learning for View Classification of Echocardiograms, Simplifying Medical Ultrasound, pp.149–158, 2021
• Athanasios Vlontzos, Bernhard Kainz, Ciaran M Gilligan-Lee, Estimating the probabilities of causation via deep monotonic twin networks, arXiv preprint arXiv:2109.01904, 2021
• Alberto Gomez, Veronika A Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthew, Bernhard Kainz, Jo Hajnal, others, PRETUS: A plug-in based platform for real-time ultrasound imaging research, arXiv preprint arXiv:2109.06519, 2021
• Bernhard Kainz, Mattias P Heinrich, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C Rawdin, others, Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning, npj Digital Medicine, volume 4, pp.1–18, 2021
• Qiang Ma, Emma C Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary, PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction, International Workshop on Machine Learning in Clinical Neuroimaging, pp.73–81, 2021
• Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod, Topological Data Analysis of Database Representations for Information Retrieval, arXiv preprint arXiv:2104.01672, 2021
• Hannah M Schl"uter, Jeremy Tan, Benjamin Hou, Bernhard Kainz, Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA), arXiv preprint arXiv:2109.15222, 2021
• Fouad Al-Noor, Sven Mischkewitz, Antonios Makropoulos, Ryutaro Tanno, Bernhard Kainz, Ozan Oktay, Blood vessel obstruction diagnosis method, apparatus & system, 2021, US Patent App. 16/491,553

2020 (19)

• Qingjie Meng, Daniel Rueckert, Bernhard Kainz, Learning Cross-domain Generalizable Features by Representation Disentanglement, arXiv preprint arXiv:2003.00321, 2020
• Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz, Ultrasound Video Summarization using Deep Reinforcement Learning, arXiv preprint arXiv:2005.09531, 2020
• Daniel Grzech, Bernhard Kainz, Ben Glocker, Lo"ic le Folgoc, Image Registration via Stochastic Gradient Markov Chain Monte Carlo, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, pp.3–12, 2020
• Qingjie Meng, Jacqueline Matthew, Veronika A Zimmer, Alberto Gomez, David FA Lloyd, Daniel Rueckert, Bernhard Kainz, Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging, IEEE Transactions on Medical Imaging, 2020
• Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Detecting Outliers with Foreign Patch Interpolation, arXiv preprint arXiv:2011.04197, 2020
• Elisa Chotzoglou, Thomas Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John Simpson, Bernhard Kainz, Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome, arXiv preprint arXiv:2012.03679, 2020
• E Skelton, J Matthew, Y Li, B Khanal, JJ Cerrolaza Martinez, N Toussaint, C Gupta, C Knight, B Kainz, JV Hajnal, others, Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison, Radiography, 2020
• Q. Meng, J. Matthew, V. A. Zimmer, A. Gomez, D. F. A. Lloyd, D. Rueckert, B. Kainz, Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging, IEEE Transactions on Medical Imaging, volume , pp.1-1, 2020
• Giulio Jiang, Bernhard Kainz, Deep radiance caching: Convolutional autoencoders deeper in ray tracing , Computers & Graphics, 2020
• Andreas Hinterreiter, Marc Streit, Bernhard Kainz, Projective Latent Interventions for Understanding and Fine-Tuning Classifiers, Interpretable and Annotation-Efficient Learning for Medical Image Computing, pp.13–22, 2020
• Jeremy Tan, Bernhard Kainz, Divergent Search for Image Classification Behaviors, The Genetic and Evolutionary Computation Conference GECCO'20, pp.pp., 2020
• Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz, 3D Probabilistic Segmentation and Volumetry from 2D projection images, International Workshop on Thoracic Image Analysis, pp.48–57, 2020
• Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, others, Introduction to Geometric Learning in Python with Geomstats, Proceedings of the 19th Python in Science Conference, volume 2020, 2020
• Jeremy Tan, Bernhard Kainz, Divergent Search for Few-Shot Image Classification, arXiv preprint arXiv:2004.07903, 2020
• Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz, Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening, Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, pp.243–252, 2020
• Qingjie Meng, Daniel Rueckert, Bernhard Kainz, Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment, Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, pp.146–157, 2020
• Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz, Causal Future Prediction in a Minkowski Space-Time, arXiv preprint arXiv:2008.09154, 2020
• Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec, Geomstats: A Python Package for Riemannian Geometry in Machine Learning, arXiv, pp.2004.04667, 2020
• Samuel Budd, Prachi Patkee, Ana Baburamani, Mary Rutherford, Emma C Robinson, Bernhard Kainz, Surface Agnostic Metrics for Cortical Volume Segmentation and Regression, arXiv preprint arXiv:2010.01669, 2020

2019 (16)

• Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz, Automatic Detection of Bowel Disease with Residual Networks, MICCAI Workshop on PRedictive Intelligence in Medicine (PRIME'19), 2019
• Elisa Chotzoglou, Bernhard Kainz, Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks, MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (LABELS'19), 2019
• Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz, Flexible Conditional Image Generation ofMissing Data with Learned Mental Maps, MICCAI Workshop on Machine Learning for Medical Image Reconstruction (MLMIR'19), 2019
• Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz, Semi-supervised Learning of Fetal Anatomy from Ultrasound, MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL'19), 2019
• Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz, Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound, MICCAI Workshop on Smart UltraSound Imaging (SUSI'19), pp.arXiv:1908.07885, 2019
• Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, Jos'e Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker, Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study, Journal of Cardiovascular Magnetic Resonance, volume 21, pp.18, 2019
• Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert, Attention gated networks: Learning to leverage salient regions in medical images, Medical Image Analysis, volume 53, pp.197 - 207, 2019
• Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert, Evaluating reinforcement learning agents for anatomical landmark detection, Medical Image Analysis, volume 53, pp.156 - 164, 2019
• David F A Lloyd, Kuberan Pushparajah, John M Simpson, Joshua F P van Amerom, Milou P M van Poppel, Alexander Schulz, Bernard Kainz, Maria Deprez, Maelene Lohezic, Joanna Allsop, Sujeev Mathur, Hannah Bellsham-Revell, Trisha Vigneswaran, Marietta Charakida, Owen Miller, Vita Zidere, Gurleen Sharland, Mary Rutherford, Joseph V Hajnal, Reza Razavi, Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study, The Lancet, volume 393, pp.1619 - 1627, 2019
• Jacqueline Matthew, Maria Deprez, Muriel Holder, Laura McCabe, Milou van Poppel, Emily Skelton, Sandra Smith, Srividhya Sankaran, Robert Wright, Thomas Roberts, Bernhard Kainz, Joseph V. Hajnal, Mary Rutherford, Syndromic craniofacial dysmorphic feature assessment in utero: potential for a novel imaging methodology with reconstructed 3D fetal MRI models, 29th World Congress on Ultrasound in Obsterics and Gynecology, (abstract, oral), pp.3214141 / OC11.08, 2019
• Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz, Multiple Landmark Detection using Multi-Agent Reinforcement Learning, CoRR, to appear at MICCAI'19, volume abs/1907.00318, 2019
• Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz, Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers, CoRR, to appear in Proc. MICCAI'19, volume abs/1908.02582, 2019
• Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel, Complete Fetal Head Compounding from Multi-view 3D Ultrasound, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, pp.384–392, 2019
• Giulio Jiang, Bernhard Kainz, One Shot Radiance: Global Illumination Using Convolutional Autoencoders, arXiv, pp.1910.02480, 2019
• Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker, Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning, Journal of Machine Learning Research, volume 20, pp.1-29, 2019
• Samuel Budd, Emma C Robinson, Bernhard Kainz, A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis, arXiv preprint arXiv:1910.02923, 2019

2018 (24)

• Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya Valindria, Bernhard Kainz, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Chris Page, Daniel Rueckert, Ben Glocker, Real-time Prediction of Segmentation Quality, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• Ryutaro Tanno, Antonis Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias Heinrich, AutoDVT: Joint Real-time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• Yuanwei Li, Amir Alansary, Juan Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert, Fast Multiple Landmark Localisation Using a Patch-based Iterative Network, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew Lee, Amir Alansary, Steven McDonagh, Joseph Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz, Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert, Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• Juan Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gomez, Matthew Sinclair, Jacqueline Matthew, Caroline Knight, Bernhard Kainz, Daniel Rueckert and, 3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks, 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 2018
• B. Hou, B. Khanal, A. Alansary, S. McDonagh, A. Davidson, M. Rutherford, J. V. Hajnal, D. Rueckert, B. Glocker, B. Kainz, 3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images, IEEE Transactions on Medical Imaging, volume 37, pp.1737-1750, 2018
• B. Khanal, A. Gomez, N. Toussaint, S. McDonagh, V. Zimmer, E. Skelton, J. Matthew, D. Grzech, R. Wright, C. Gupta, B. Hou, D. Rueckert, J.~A. Schnabel, B. Kainz, EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers, ArXiv e-prints, 2018
• Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kimm, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker, Subject-level Prediction of Segmentation Failure using Real-Time Convolutional Neural Nets , MIDL 2018, openreview.net, abstract track, non-archival, 2018
• Qingjie Meng, Christian Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gomez, Benjamin Hou, Nicolas Toussaint, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz, Automatic Shadow Detection in 2D Ultrasound , MIDL 2018, openreview.net, abstract track, non-archival, 2018
• Yuanwei Li, Juan J. Cerrolaza, Matthew Sinclair, Benjamin Hou, Amir Alansary, Bishesh Khanal, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss, MIDL 2018, openreview.net, abstract track, non-archival, 2018
• Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew Lee, Amir Alansary, Steven McDonagh, Joseph Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz, Deep Pose Estimation for Image-Based Registration, MIDL 2018, openreview.net, abstract track, non-archival, 2018
• Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert, Attention U-Net: Learning Where to Look for the Pancreas, MIDL 2018, openreview.net, conference track, non-archival, 2018
• Matthew D. Sinclair, Juan Cerrolaza Martinez, Emily Skelton, Yuanwei Li, Christian F. Baumgartner, Wenjia Bai, Jacqueline Matthew, Caroline L. Knight, Sandra Smith, Jo Hajnal, Andrew P. King, Bernhard Kainz, Daniel Rueckert, Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound, MIDL 2018, openreview.net, conference track, non-archival, 2018
• M. Sinclair, C. F. Baumgartner, J. Matthew, W. Bai, J. C. Martinez, Y. Li, S. Smith, C. L. Knight, B. Kainz, J. Hajnal, A. P. King, D. Rueckert, Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume , pp.714-717, 2018
• Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary Rutherford, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz, Image-Based Registration in Canonical Atlas Space, MIDL 2018, openreview.net, abstract track, non-archival, 2018
• D. Stoyanov, Z. Taylor, B. Kainz, G. Maicas, R. Beichel, A. Martel, L. Maier-Hein, Kanwal, Vercauteren B., Ozan T., Carneiro O., Bradley G., Nascimento A.P., M.S. J., C. Jacobs, B. Lassen-Schmidt, J. Mori, R. San José Estépar, A. Schmidt-Richberg, C. Veiga, (Eds.), Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings, volume 11040, 2018
• D. Stoyanov, Z. Taylor, B. Kainz, G. Maicas, R. Beichel, A. Martel, L. Maier-Hein, Kanwal, Vercauteren B., Ozan T., Carneiro O., Bradley G., Nascimento A.P., M.S. J., C. Jacobs, B. Lassen-Schmidt, J. Mori, R. San José Estépar, A. Schmidt-Richberg, C. Veiga, (Eds.), Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings, volume Lecture Notes in Computer Science (LNCS) 11040, 2018
• Stefaan W. Verbruggen, Bernhard Kainz, Susan C. Shelmerdine, Joseph V. Hajnal, Mary A. Rutherford, Owen J. Arthurs, Andrew TM Phillips, Niamh C. Nowlan, Altered Biomechanical Stimulation of the Fetal Skeleton Correlates with Risk Factors for Developmental Dysplasia of the Hip, peer reviewed poster abstract, ORS Annual meeting of the Orthopaedic Research Society March 10-13 2018, 2018
• Stefaan W. Verbruggen, Bernhard Kainz, Susan C. Shelmerdine, Owen J. Arthurs, Joseph V. Hajnal, Mary A. Rutherford, Andrew T.M. Phillips, Niamh C. Nowlan, Altered biomechanical stimulation of the developing hip joint in presence of hip dysplasia risk factors, Journal of Biomechanics, volume 78, pp.1 - 9, 2018
• Stefaan W. Verbruggen, Bernhard Kainz, Susan C. Shelmerdine, Joseph V. Hajnal, Mary A. Rutherford, Owen J. Arthurs, Andrew T. M. Phillips, Niamh C. Nowlan, Stresses and strains on the human fetal skeleton during development, Journal of The Royal Society Interface, volume 15, 2018
• DFA Lloyd, M van Poppel, A Schultz, K Pushparajah, J Simpson, JFP van Amerom, B Kainz, M Kuklisova-Murgasova, T Vigneswaran, M Charakida, O Miller, V Zidere, G Sharland, M Rutherford, J Hajnal, R Razavi, 31 Motion corrected fetal cardiac mri increases diagnostic confidence in clinically challenging cases, volume 104, pp.A11–A11, 2018
• K. Zhou, B. Kainz, Efficient Image Evidence Analysis of CNN Classification Results, ArXiv e-prints, 2018
• Bishesh Khanal, Alberto Gomez, Nicolas Toussaint, Steven McDonagh, Veronika Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers, Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis, pp.117–127, 2018