Publications

2019 (14)

• 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
• 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
• 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, Jacqueline Matthew, Emily Skelton, Bishesh Khanal, Bernhard Kainz, Daniel Rueckert, Joseph Hajnal, Julia Schnabel, Complete Fetal Head Compounding from Multi-View 3D Ultrasound, to appear in Proc MICCAI'19, volume ..., 2019

2018 (32)

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline Knight, Nicolas Toussaint, Bernhard Kainz, Ben Glocker, Daniel Rueckert, Attention-Gated Networks for Improving Ultrasound Scan Plane Detection , 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
• Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, Benjamin Hou, Ghislain Vaillant, Ben Glocker, Bernhard Kainz, Daniel Rueckert, Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection, 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
• B. Hou, N. Miolane, B. Khanal, M.~C.~H. Lee, A. Alansary, S. McDonagh, J.~V. Hajnal, D. Rueckert, B. Glocker, B. Kainz, Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry, ArXiv e-prints, 2018
• J. Schlemper, O. Oktay, L. Chen, J. Matthew, C. Knight, B. Kainz, B. Glocker, D. Rueckert, Attention-Gated Networks for Improving Ultrasound Scan Plane Detection, ArXiv e-prints, 2018
• O. Oktay, J. Schlemper, L. Le Folgoc, M. Lee, M. Heinrich, K. Misawa, K. Mori, S. McDonagh, N. Y Hammerla, B. Kainz, B. Glocker, D. Rueckert, Attention U-Net: Learning Where to Look for the Pancreas, ArXiv e-prints, 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, 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
• 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
• 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, Heart, volume 104, pp.A11–A11, 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, 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
• 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
• K. Zhou, B. Kainz, Efficient Image Evidence Analysis of CNN Classification Results, ArXiv e-prints, 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
• 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
• 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
• 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
• 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
• Antoine Toisoul, Daniel Rueckert, Bernhard Kainz, Accessible GLSL Shader Programming, EG 2017 - Education Papers, 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
• 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
• 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
• 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

2016 (11)

• Christian. F. Baumgartner, Kamnitsas. Kamnitsas, Jacqueline Matthew, T.P. Fletcher, Sandy. Smith, LisaM. Koch, Bernhard Kainz, Daniel Rueckert, Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound, ArXiv e-prints, 2016
• M. Rajchl, M.C.H. Lee, F. Schrans, A. Davidson, J. Passerat-Palmbach, G. Tarroni, A. Alansary, O. Oktay, B. Kainz, D. Rueckert, Learning under Distributed Weak Supervision, arXiv:1606.01100, 2016
• M. Rajchl, M.C.H. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, B. Kainz, D. Rueckert, DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks, arXiv:1605.07866, in IEEE Transactions on Medical Imaging ( Volume: PP, Issue: 99 ), 2016
• Amir Alansary, Konstantinos Kamnitsas, Martin Rajchl, Alice Davidson, Rostislav Khlebnikov, Christina Malamateniou, Mary Rutherford, Joseph Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz, Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI, accepted for MICCAI 2016, the 19th International Conference on Medical Image Computing and Computer Assisted Intervention, October 17-21 2016, Athens Greece, 2016
• 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)
• Bernhard Kainz, David F.A. Lloyd, Amir Alansary, Maria Kuklisova Murgasova, Rostislav Khlebnikov, Daniel Rueckert, Mary Rutherford, Reza Razavi, Jo V. Hajnal, High-Performance Motion Correction of Fetal MRI, Proc. EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization, pp.5–7, 2016
• David Lloyd, Bernhard Kainz, Joshua F van Amerom, Maelene Lohezic, Kuberan Pushparajah, John M Simpson, Christina Malamateniou, Joseph V Hajnal, Mary Rutherford, Reza Razavi, Prenatal MRI visualisation of the aortic arch and fetal vasculature using motion-corrected slice-to-volume reconstruction, Journal of Cardiovascular Magnetic Resonance, volume 18, pp.1, 2016
• David F.A. Lloyd, Bernhard Kainz, Joshua F. P. van Amerom, Kuberan Pushparajah, John M. Simpson, Vita Zidere, Owen Miller, Gurleen Sharland, Tong Zhang, Maelene Lohezic, Joanne Allsop, Matthew Fox, Christina Malamateniou, Mary Rutherford, Jo Hajnal, Reza Razavi, Three-Dimensional Modelling of the Fetal Vasculature from Prenatal MRI using Motion Corrected Slice-to-Volume Registration., Proc. Intl. Soc. Mag. Reson. Med. 24; O413, 2016
• Daniel Rueckert, Ben Glocker, Bernhard Kainz, Learning clinically useful information from images: Past, present and future , Medical Image Analysis , volume 33, pp.13 - 18, 2016
• Stefaan W. Verbruggen, Bernhard Kainz, Joseph V. Hajnal, Mary A. Rutherford, Andrew T.M. Phillips, Niamh C. Nowlan, Exploring the Link between Fetal Movements and Hip Dysplasia in Singleton and Twin Pregnancies, the 2017 meeting of the Orthopaedic Research Society, 2016
• Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert, Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, volume 9901, pp.203–211, 2016

2015 (9)

• J Egger, H Busse, P Brandmaier, D Seider, M Gawlitza, S Strocka, P Voglreiter, M Dokter, M Hofmann, B Kainz, A Hann, X Chen, T Alhonnoro, M Pollari, D Schmalstieg, M Moche, Interactive Volumetry Of Liver Ablation Zones, SCIENTIFIC REPORTS, volume 5, 2015
• B Kainz, M Steinberger, W Wein, M Kuklisova-Murgasova, C Malamateniou, K Keraudren, T Torsney-Weir, M Rutherford, P Aljabar, JV Hajnal, D Rueckert, Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices, IEEE TRANSACTIONS ON MEDICAL IMAGING, volume 34, issue 9, pp.1901–1913, 2015
• C Bowles, NC Nowlan, TTA Hayat, C Malamateniou, M Rutherford, JV Hajnal, D Rueckert, B Kainz, Machine learning for the automatic localisation of foetal body parts in cine-MRI scans, MEDICAL IMAGING 2015: IMAGE PROCESSING, Conference on Medical Imaging - Image Processing, volume 9413, 2015
• B Kainz, C Malamateniou, G Ferrazzi, M Murgasova, J Egger, K Keraudren, M Rutherford, JV Hajnal, D Rueckert, Adaptive scan strategies for fetal MRI imaging using slice to volume techniques, Proceedings - International Symposium on Biomedical Imaging, volume 2015-July, pp.849–852, 2015
• J Egger, P Voglreiter, M Dokter, M Hofmann, HF Busse, D Seider, P Brandmaier, R Rautio, G Zettel, B Schmerböck, M van Amerongen, S Jenniskens, M Kolesnik, B Kainz, RB Sequeiros, H Portugaller, P Stiegler, J Futterer, D Schmalstieg, M Moche, In-depth Multicenter Workflow Analysis of Liver Tumor Ablations for the Development of a Novel Computer-aided Software Tool, RSNA Annual Meeting - Radiological Society of North America, 101th Annual Meeting of The Radiological Society of North America (RSNA), 2015
• A. Alansary, M. Lee, B. Kainz, K. Keraudren, Ch. Malamateniou, M. Rutherford, JV. Hajnal, B. Glocker, D. Rueckert, Automatic Brain Localisation in Foetal MRI using Superpixel Graphs, ICML Workshop on Machine Learning meets Medical Imaging, 2015
• J. Egger, H. Busse, Ph. Brandmaier, D. Seider, M. Gawlitza, St. Strocka, Ph. Voglreiter, M. Dokter M. Hofmann, B. Kainz, X. Chen, A. Hann, P. Boechat, W. Yu, B. Freisleben, T. Alhonnoro, M. Pollari, M. Moche, D. Schmalstieg, RFA-Cut: Semi-Automatic Segmentation of Radiofrequency Ablation Zones Via Optimal S-T-Cuts, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2015 (EMBC'15), 2015
• Bernhard Kainz, Amir Alansary, Christina Malamateniou, Kevin Keraudren, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert, Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II, volume 9350, pp.555–562, 2015
• Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert, Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III, volume 9351, pp.620–627, 2015

2014 (7)

• K Keraudren, M Kuklisova-Murgasova, V Kyriakopoulou, C Malamateniou, MA Rutherford, B Kainz, JV Hajnal, D Rueckert, Automated fetal brain segmentation from 2D MRI slices for motion correction, NEUROIMAGE, volume 101, pp.633–643, 2014
• B Kainz, K Keraudren, V Kyriakopoulou, M Rutherford, JV Hajnal, D Rueckert, Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.1230–1233, 2014
• B Kainz, P Voglreiter, M Sereinigg, I Wiederstein-Grasser, U Mayrhauser, S Köstenbauer, M Pollari, R Khlebnikov, M Seise, T Alhonnoro, Y Häme, D Seider, R Flanagan, C Bost, J Mühl, D O'Neill, T Peng, S Payne, D Rueckert, D Schmalstieg, M Moche, M Kolesnik, P Stiegler, RH Portugaller, High-resolution contrast enhanced multi-phase hepatic computed tomography data fromaporcine Radio-Frequency Ablation study, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.81–84, 2014
• B Kainz, C Malamateniou, M Murgasova, K Keraudren, M Rutherford, JV Hajnal, D Rueckert, Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT II, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 8674, pp.284–291, 2014
• M Steinberger, M Kenzel, B Kainz, P Wonka, D Schmalstieg, On-the-fly Generation and Rendering of Infinite Cities on the GPU, Computer Graphics Forum, volume 33, pp.105–114, 2014
• M Steinberger, M Kenzel, B Kainz, J Müller, P Wonka, D Schmalstieg, Parallel Generation of Architecture on the GPU, Computer Graphics Forum, volume 33, pp.73–82, 2014
• R Khlebnikov, P Voglreiter, M Steinberger, B Kainz, D Schmalstieg, Parallel Irradiance Caching for Interactive Monte-Carlo Direct Volume Rendering, COMPUTER GRAPHICS FORUM, volume 33, pp.61–70, 2014

2013 (3)

• R Khlebnikov, B Kainz, M Steinberger, D Schmalstieg, Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, volume 19, issue 12, pp.2926–2935, 2013
• P Voglreiter, M Steinberger, B Kainz, R Khlebnikov, D Schmalstieg, Dynamic GPU Scheduling for Volume Rendering, IEEE Scientific Visualization, IEEE Scientific Visualization 2013, 2013, Best poster honorable mention for IEEE SciVis 2013
• B Kerbl, P Voglreiter, R Khlebnikov, D Schmalstieg, D Seider, M Moche, P Stiegler, RH Portugaller, B Kainz, Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations, Clinical Image-Based Procedures. From Planning to Intervention, pp.9–16, 2013

2011 (1)

• S Koestenbauer, P Stiegler, V Stadlbauer, U Mayrhauser, B Leber, D Blattl, B Kainz, O Reich, RH Portugaller, I Wiederstein-Grasser, others, Visualization of large-scale sections, J Surg Radiol, 2011