Publications

2021 (3)

• 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
• Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod, Topological Data Analysis of Database Representations for Information Retrieval, 2021

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 (17)

• 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
• 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
• 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
• 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
• Qingjie Meng, Matthew Sinclair, Veronika Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gomez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging, IEEE Transactions on Medical Imaging (https://ieeexplore.ieee.org/document/8698843), arXiv:1811.08164, 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

2018 (27)

• 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
• 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
• 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
• 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
• Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, Jose Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert, Automated cardiovascular magnetic resonance image analysis with fully convolutional networks, Journal of Cardiovascular Magnetic Resonance, volume 20, pp.65, 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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, 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
• O. Oktay, E. Ferrante, K. Kamnitsas, M. Heinrich, W. Bai, J. Caballero, S. A. Cook, A. de Marvao, T. Dawes, D. P. O‘Regan, B. Kainz, B. Glocker, D. Rueckert, Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation, IEEE Transactions on Medical Imaging, volume 37, pp.384-395, 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
• 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
• 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
• 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
• 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
• Qingjie Meng, Christian Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gomez, Benjamin Hou, Nicolas Toussaint, Veronika Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia Schnabel, Bernhard Kainz, Automatic Shadow Detection in 2D Ultrasound Images, Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis, pp.66–75, 2018
• K. Zhou, B. Kainz, Efficient Image Evidence Analysis of CNN Classification Results, ArXiv e-prints, 2018
• Amir Alansary, Loic Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert, Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, pp.277–285, 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

2017 (18)

• N. Pawlowski, S.~I. Ktena, M.~C.~H. Lee, B. Kainz, D. Rueckert, B. Glocker, M. Rajchl, DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images, ArXiv e-prints, 2017
• K. Kamnitsas, W. Bai, E. Ferrante, S. McDonagh, M. Sinclair, N. Pawlowski, M. Rajchl, M. Lee, B. Kainz, D. Rueckert, B. Glocker, Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation, ArXiv e-prints, winner of the MICCAI BraTS 2017 challenge, 2017
• C. F. Baumgartner, K. Kamnitsas, J. Matthew, T. P. Fletcher, S. Smith, L. M. Koch, B. Kainz, D. Rueckert, SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound, IEEE Transactions on Medical Imaging, volume 36, pp.2204-2215, 2017
• W. Bai, M. Sinclair, G. Tarroni, O. Oktay, M. Rajchl, G. Vaillant, A.~M. Lee, N. Aung, E. Lukaschuk, M.~M. Sanghvi, F. Zemrak, K. Fung, J.~M. Paiva, V. Carapella, Y.~J. Kim, H. Suzuki, B. Kainz, P.~M. Matthews, S.~E. Petersen, S.~K. Piechnik, S. Neubauer, B. Glocker, D. Rueckert, Human-level CMR image analysis with deep fully convolutional networks, ArXiv e-prints, 2017
• A. Alansary, M. Rajchl, S. G. McDonagh, M. Murgasova, M. Damodaram, D. F. A. Lloyd, A. Davidson, M. Rutherford, J. V. Hajnal, D. Rueckert, B. Kainz, PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI, IEEE Transactions on Medical Imaging, volume 36, pp.2031-2044, 2017
• Sam Budd, Emma C Robinson, Bernhard Kainz, The Cortical Explorer: A Web-based User-interface for the Exploration of the Human Cerebral Cortex, in proceedings of the 7th Eurographics Workshop on Visual Computing for Biology and Medicine (Posters), 2017
• B. Hou, B. Khanal, A. Alansary, S. McDonagh, A. Davidson, M. Rutherford, J.~V. Hajnal, D. Rueckert, B. Glocker, B. Kainz, 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images, ArXiv e-prints, 2017
• H. Miao, G. Mistelbauer, A. Karimov, A. Alansary, A. Davidson, D. F. A. Lloyd, M. Damodaram, L. Story, J. Hutter, J. V. Hajnal, M. Rutherford, B. Preim, B. Kainz, M. E. Gröller, Placenta Maps: In Utero Placental Health Assessment of the Human Fetus, IEEE Transactions on Visualization and Computer Graphics, volume 23, pp.1612-1623, 2017
• M. Rajchl, M. C. H. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, M. Damodaram, M. A. Rutherford, J. V. Hajnal, B. Kainz, D. Rueckert, DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks, IEEE Transactions on Medical Imaging, volume 36, pp.674-683, 2017
• S. McDonagh, B. Hou, K. Kamnitsas, O. Oktay, A. Alansary, M. Rutherford, J.~V. Hajnal, B. Kainz, Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging, ArXiv e-prints arXiv:1703.00035, to appear in Springer LNCS Proc. MICCAI RAMBO'17, 2017
• Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian Dalca, Roland Wiest, Wiro Niessen, Bart J. Emmer, Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment. Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, volume 10555, 2017
• Juan J. Cerrolaza, Ozan Oktay, Alberto Gomez, Jacqueline Matthew, Caroline Knight, Bernhard Kainz, Daniel Rueckert, Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest, Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Qu'ebec City, QC, Canada, September 14, Proceedings, pp.25–32, 2017
• Editors: Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, Danielle F. Pace, Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers, volume LNCS 10129, 2017
• Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary Rutherford, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz, Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II (ArXiv e-prints arXiv:1702.08891), pp.296–304, 2017
• Antoine Toisoul, Daniel Rueckert, Bernhard Kainz, Accessible GLSL Shader Programming, EG 2017 - Education Papers, 2017
• Stefaan W. Verbruggen, Bernhard Kainz, Owen J. Arthurs, Joseph V. Hajnal, Mary A. Rutherford, Andrew T.M. Phillips, 1Niamh C. Nowlan, Modelling the biomechanics of fetal movements, ISB'17 – International Society of Biomechanics Meeting, 2017
• Hosung Kim, Joanne Lau, Bernhard Kainz, Patrick McGuillen, Duan Xu, Shabnam Peyvandi, Fetal brain volumetry to predict neonatal brain injury in patients with congenital heart disease, OHBM 2017 - Organization for Human Brain Mapping, 2017
• Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert, Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation, CoRR, volume abs/1705.08302, 2017

2016 (1)

• Amir Alansary, Bernhard Kainz, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F.A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert, PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI, Computer Vision and Pattern Recognition (cs.CV) submitted to IEEE Transactions on Medical Imaging, preprint available on arXiv:1611.07289, 2016, Computer Vision and Pattern Recognition (cs.CV)