Publications

2017 (23)

• R. Robinson, V. Valindria, W. Bai, H. Suzuki, P.M. Matthews, C. Page, D. Rueckert, B. Glocker, Automatic Quality Control of Cardiac MRI Segmentation in Large-scale Population Imaging, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
• B. Hou, A. Alansary, S. McDonagh, A. Davidson, M. Rutherford, J.V. Hajnal, D. Rueckert, B. Glocker, B. Kainz, Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
• S. Parisot, S. Ktena, E. Ferrante, M. Lee, R. Moreno, B. Glocker, D. Rueckert, Spectral Graph Convolutions on Population Graphs for Disease Prediction, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
• S. Ktena, S. Parisot, E. Ferrante, M. Rajchl, M. Lee, B. Glocker, D. Rueckert, Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
• F. Kanavati, K. Misawa, M. Fujiwara, K. Mori, D. Rueckert, B. Glocker, Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation, International Workshop on Machine Learning in Medical Imaging (MLMI), 2017
• D. Damopoulos, B. Glocker, G. Zheng, Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features, Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI), 2017
• Oktay O, Ferrante E, Kamnitsas K, Heinrich M, Bai W, Caballero J, Cook S, de Marvao A, Dawes T, O’Regan D, Kainz B, Glocker B, Rueckert D, Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation, IEEE Transactions on Medical Imaging, 2017
• E. Ferrante, K. Kamnitsas, S. Cooke, J.P. Coles, V.F.J. Newcombe, D.K. Menon, D. Rueckert, B. Glocker, TBI Lesion Segmentation in Anisotropic CT using Convolutional Neural Networks, Frontiers in Traumatic Brain Injury, 2017
• Lavdas I, Glocker B, Kamnitsas K, Rueckert D, Mair H, Sandhu A, Taylor SA, Aboagye EO, Rockall AG, Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach, Medical Physics, 2017
• Zimmer VA, Glocker B, Hahner N, Eixarch E, Sanroma G, Gratacos E, Rueckert D, Angel Gonzalez Ballester M, Piella G, Learning and combining image neighborhoods using random forests for neonatal brain disease classification, Medical Image Analysis, 2017
• W. Bai, O. Oktay, M. Sinclair, H. Suzuki, M. Rajchl, G. Tarroni, B. Glocker, A. King, P. Matthews, D. Rueckert, Semi-Supervised Learning for Network-Based Cardiac MR Image Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
• Alessandro Vandini, Ben Glocker, Mohamad Hamady, Guang-Zhong Yang, Robust guidewire tracking under large deformations combining segment-like features, Medical Image Analysis, 2017
• Kanavati F, Tong T, Misawa K, Fujiwara M, Mori K, Rueckert D, Glocker B, Supervoxel Classification Forests for Estimating Pairwise Image Correspondences, Pattern Recognition, 2017
• G. Zheng, C. Chu, D. L. Belavy, B. Ibragimov, R. Korez, T. Vrtovec, H. Hutt, R. Everson, J. Meakin, I. Lopez Andrade, B. Glocker, H. Chen, Q. Dou, P. Heng, C. Wang, D. Forsberg, A. Neubert, J. Fripp, M. Urschler, D. Stern, M. Wimmer, A. A. Novikov, H. Cheng, G. Armbrecht, D. Felsenberg, S. Li, Evaluation and Comparison of 3D Intervertebral Disc Localization and Segmentation Methods for 3D T2 MR Data: A Grand Challenge, Medical image analysis, 2017
• Oktay O, Bai W, Guerrero R, Rajchl M, de Marvao A, O'Regan D, Cook S, Heinrich M, Glocker B, Rueckert D, Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images, IEEE Transactions on Medical Imaging, 2017
• Maier O, Menze BH, von der Gablentz J, Häni L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D, Dutil F, Egger K, Feng C, Glocker B, Götz M, Haeck T, Halme HL, Havaei M, Iftekharuddin KM, Jodoin PM, Kamnitsas K, Kellner E, Korvenoja A, Larochelle H, Ledig C, Lee JH, Maes F, Mahmood Q, Maier-Hein KH, McKinley R, Muschelli J, Pal C, Pei L, Rangarajan JR, Reza SM, Robben D, Rueckert D, Salli E, Suetens P, Wang CW, Wilms M, Kirschke JS, Krämer UM, Münte TF, Schramm P, Wiest R, Handels H, Reyes M, ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI, Medical image analysis, 2017
• Valindria V, Lavdas I, Bai W, Kamnitsas K, Aboagye EO, Rockall AG, Rueckert D, Glocker B, Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth, IEEE Transactions on Medical Imaging, 2017
• Vandini A, Bergeles C, Glocker B, Giataganas P, Yang GZ, Unified Tracking and Shape Estimation for Concentric Tube Robots, IEEE Transactions on Robotics, 2017
• G. Tarroni, O. Oktay, W. Bai, A. Schuh, H. Suzuki, J. Passerat-Palmbach, B. Glocker, A. de Marvao, D. O’Regan, S. Cook, D. Rueckert, Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images, Functional Imaging and Modelling of the Heart (FIMH), 2017
• Carlos Ciller, Sandro De Zanet, Konstantinos Kamnitsas, Philippe Maeder, Ben Glocker, Francis L. Munier, Daniel Rueckert, Jean-Philippe Thiran, Meritxell Bach Cuadra, Raphael Sznitman, Multi-channel MRI Segmentation of Eye Structures and Tumors using Patient-specific Features, PLoS One, 2017
• Nick Pawlowski, Miguel Jaques, Ben Glocker, Efficient Variational Bayesian Neural Network Ensembles for Outlier Detection, ICLR Workshop, 2017
• K. Kamnitsas, C. Baumgartner, C. Ledig, VFJ. Newcombe, JP. Simpson, AD. Kane, DK. Menon, A. Nori, A. Criminisi, D. Rueckert, B. Glocker, Unsupervised domain adaptation in brain lesion segmentation with adversarial networks, Information Processing in Medical Imaging (IPMI), 2017
• K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, D Rueckert, B Glocker, Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation, Medical Image Analysis, 2017

2016 (20)

• Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert, A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, MICCAI Workshop on Machine Learning in Medical Imaging, 2016
• Whelan T, Salas-Moreno RF, Glocker B, Davison AJ, Leutenegger S, ElasticFusion: Real-Time Dense SLAM and Light Source Estimation, International Journal of Robotics Research, 2016
• E. Konukogly, B. Glocker, Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, 2016
• T. Vrtovec, J. Ya, B. Glocker, T. Klinder, A. Frangi, G. Zheng, S. Li, Computational Methods and Clinical Applications for Spine Imaging, Lecture Notes in Computater Science, volume 9402, 2016
• Kamnitsas K, Ferrante E, Parisot S, Ledig C, Nori A, Criminisi C, Rueckert D, Glocker B, DeepMedic for Brain Tumor Segmentation, MICCAI Brain Lesion Workshop, 2016
• Matthew C. H. Lee, Hugh Salimbeni, Marc P. Deisenroth, Ben Glocker, Patch kernels for Gaussian processes in high-dimensional imaging problems, NIPS Workshop on Practical Bayesian Nonparametrics, 2016
• J. Yao, T. Vrtovec, G. Zheng, A. Frangi, B. Glocker, S. Li, Computational Methods and Clinical Applications for Spine Imaging, Lecture Notes in Computer Science, volume 10182, 2016
• Giannakidis A., Kamnitsas K., Spadotto V., Keegan J., Smith G., Glocker B., Rueckert D., Ernst S., Gatzoulis M. A., Pennell D. J., Babu-Narayan S., Firmin D. N., Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images using a Multi-scale 3D Convolutional Neural Network, IEEE International Conference on Signal Image Technology & Internet Systems, 2016
• Daniel C. Castro, Ben Glocker, Dirichlet Process Mixture Models: Application to Brain Image Segmentation, NIPS Workshop on Practical Bayesian Nonparametrics, 2016
• N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot, E.I. Zacharaki, (Hyper)-Graphical Models in Biomedical Image Analysis, Medical image analysis, 2016
• L. Maier-Hein, T. Ross, J. Groehl, B. Glocker, S. Bodenstedt, C. Stock, E. Heim, H. Kenngott, S. Speidel, K. Maier-Hein, Crowd-algorithm collaboration for large-scale endoscopic image annotation with confidence, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016
• Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert, Discrete Optimisation for Group-wise Cortical Surface Atlasing, International Workshop on Biomedical Image Registration (WBIR), 2016
• J.P. Simpson, A.D. Kane, B. Glocker, T. Das, J.G. Outtrim, D.K. Menon, V.F.J. Newcombe, Hyponatraemic and hypo-osmotic states on admission are associated with increased contusion and oedema measured on MR imaging, 12th Symposium of the International-Neurotrauma-Society (INTS), 2016
• E. Robinson, B. Glocker, K. Garcia, A. Makropoulos, J. Bozek, S. Fitzgibbon, R. Wright, A. Schuh, J. Hutter, A. Price, L. Cordero Grande, E. Hughes, N. Tusor, A. D. Edwards, J. Hajnal, M. Jenkinson, D. Rueckert, Longitudinal Alignment of Brain Cortical Anatomy using Strain-Constrained MSM, Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2016
• D. Rueckert, B. Glocker, B. Kainz, Learning clinically useful information from images: Past, present and future, Medical image analysis, 2016
• B. Glocker, E. Konukoglu, I. Lavdas, J.E. Iglesias, E.O. Aboagye, A.G. Rockall, D. Rueckert, Correction of Fat-Water Swaps in Dixon MRI, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016
• S. Parisot, B. Glocker, M.D. Shirmer, D. Rueckert, GraMPa: Graph-based Multi-modal Parcellation of the Cortex using Fusion Moves, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016
• H. Sokooti Oskooyi, G. Saygili, B. Glocker, B.P.F. Lelieveldt, M. Staring, Accuracy Estimation for Medical Image Registration Using Regression Forests, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016
• A. Alansary, K. Kamnitsas, A. Davidson, R. Khlebnikov, M. Rajchl, C. Malamateniou, M. Rutherford, J. Hajnal, B. Glocker, D. Rueckert, B. Kainz, Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016
• Ben Glocker, Nikos Paragios, Ramin Zabih, Discrete Graphical Models in Biomedical Image Analysis, Special Issue Medical Image Analysis, volume 27, 2016

2015 (15)

• K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, D Rueckert, B Glocker, Segmentation of Traumatic Brain Injuries with Convolutional Neural Networks, 2nd Turku Traumatic Brain Injury Symposium, 2015
• A Alansary, M Lee, B Kainz, K Keraudren, C Malamateniou, M Rutherford, J Hajnal, B Glocker, D Rueckert, Automatic Brain Localisation in Foetal MRI using Superpixel Graphs, ICML Workshop on Machine Learning meets Medical Imaging, 2015
• Kamnitsas K, Chen L, Ledig C, Rueckert D, Glocker B, Multi-Scale 3D Convolutional Neural Networks for Lesion Segmentation in Brain MRI, MICCAI Brain Lesion Workshop, 2015
• B. Glocker, E. Konukoglu, D.R. Haynor, Random Forests for Localization of Spinal Anatomy, Medical Recognition, Segmentation and Parsing, 2015
• A.D. Kane, J.P. Simpson, B. Glocker, T. Das, J.G. Outtrim, D.K. Menon, V.F.J. Newcombe, Acute MRI enhances prognostication in traumatic brain injury, Intensive Care Society, State of the Art Meeting, 2015
• P. Noonan, J. Howard, J. Ma, D. Cole, W. Hallett, B. Glocker, R. Gunn, Simultaneous Multiple Kinect V2 for Extended Field of View Motion Tracking, IEEE Nuclear Science Symposium & Medical Imaging Conference, 2015
• V Zimmer, B Glocker, P Aljabar, S Counsell, M Rutherford, AD Edwards, J Hajnal, MA Gonzalez Ballester, D Rueckert, G Piella, Learning and Combining Image Similarities for Neonatal Brain Population Studies, International Workshop on Machine Learning in Medical Imaging (MLMI), 2015
• Kanavati F, Tong T, Misawa K, Mori K, Rueckert D, Glocker B, Supervoxel Classification Forests for Estimating Pairwise Image Correspondences, International Workshop on Machine Learning in Medical Imaging (MLMI), 2015
• Pedro D. Kostelec, Leo M. Carlin, Ben Glocker, Learning to Detect and Track Cells for Quantitative Analysis of Time-Lapse Microscopic Image Sequences, IEEE International Symposium on Biomedical Imaging (ISBI), 2015
• Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker, Motion Segmentation of Truncated Signed Distance Function based Volumetric Surfaces, IEEE Winter Conference on Applications of Computer Vision, 2015
• J. Yao, B. Glocker, T. Klinder, S. Li, Recent Advances in Computational Methods and Clinical Applications for Spine Imaging, Lecture Notes in Computational Vision and Biomechanics, volume 20, 2015
• Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Cagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gabor Szekely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen Van Leemput, The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), IEEE Transactions on Medical Imaging, 2015
• David Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers, Uncertainty-driven Forest Predictors for Vertebra Localization and Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015
• Thomas Whelan, Stefan Leutenegger, Renato Salas-Moreno, Ben Glocker, Andrew Davison, ElasticFusion: Dense SLAM without a Pose Graph, Robotics: Science and Systems (RSS), 2015
• Ben Glocker, Jamie Shotton, Antonio Criminisi, Shahram Izadi, Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding, IEEE Transactions on Visualization and Computer Graphics, volume 21, pp.571–583, 2015

2014 (9)

• Renato Salas-Moreno, Ben Glocker, Paul Kelly, Andrew Davison, Dense Planar SLAM, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2014
• D Zikic, B Glocker, A Criminisi, Encoding atlases by randomized classification forests for efficient multi-atlas label propagation, Medical image analysis, volume 18, pp.1262–1273, 2014
• D. Zikic, B. Glocker, A. Criminisi, Classifier-based Multi-Atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-free Scenarios, MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, 2014
• P. Kontschieder, J.F. Dorn, C. Morrison, R. Corish, D. Zikic, A. Sellen, M. DSouza, C. P. Kamm, J. Burggraaff, P. Tewarie, T. Vogel, M. Azzarito, B. Glocker, P. Chin, F. Dahlke, C. Polman, L. Kappos, B. Uitdehaag, A. Criminisi, Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
• Zehan Wang, Kanwal Bhatia, Ben Glocker, Antonio de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert, Geodesic Patch-based Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
• A. Guzman-Rivera, P. Kohli, B. Glocker, J. Shotton, S. Izadi, A. Fitzgibbon, T. Sharp, Multi-Output Learning for Camera Relocalization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
• N. Navab, B. Glocker, O. Kutter, S. Kirchhoff, M. Reiser, Medical Image Processing for Analysis of Colon Motility, Handbook of Biomedical Imaging, 2014
• Ben Glocker, Darko Zikic, David R Haynor, Robust Registration of Longitudinal Spine CT, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
• M. D Souza, C. Kamm, J. Burggraaff, P. Tewarie, B. Glocker, J. Dorn, T. Vogel, C. Morrison, A. Sellen, M. Machacek, P. Chin, B. Uitdehaag, A. Criminisi, F. Dahlke, C. Polman, L. Kappos, Assessment of Disability in Multiple Sclerosis Using the Kinect-Camera System: A Proof-of-Concept Study, American Academy of Neurology Annual Meeting (AAN), 2014

2013 (12)

• Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew Fitzgibbon, Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2930–2937, 2013
• Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl, Is Synthesizing MRI Contrast Useful for Inter-Modality Analysis?, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.631–638, 2013
• Ezequiel Geremia, Darko Zikic, Olivier Clatz, Bjoern H Menze, Ben Glocker, Ender Konukoglu, J Shotton, OM Thomas, SJ Price, T Das, Raj Jena, Nicholas Ayache, Antonio Criminisi, Classification Forests for Semantic Segmentation of Brain Lesions in Multi-Channel MRI, Decision Forests for Computer Vision and Medical Image Analysis, pp.245–260, 2013
• A Criminisi, D Robertson, O Pauly, B Glocker, E Konukoglu, J Shotton, D Mateus, A Martinez Moeller, SG Nekolla, N Navab, Anatomy Detection and Localization in 3D Medical Images, Decision Forests for Computer Vision and Medical Image Analysis, pp.193–209, 2013
• D. Zikic, B. Glocker, A. Criminisi, Multi-Atlas Label Propagation with Atlas Encoding by Randomized Forests, MICCAI Workshop and Challenge on Segmentation: Algorithms, Theory and Applications (SATA), 2013
• Darko Zikic, Ben Glocker, Antonio Criminisi, Atlas Encoding by Randomized Forests for Efficient Label Propagation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.66–73, 2013
• Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu, Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.606–613, 2013
• Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi, Neighbourhood Approximation using Randomized Forests, Medical image analysis, volume 17, pp.790–804, 2013
• Hauke Heibel, Ben Glocker, Martin Groher, Marcus Pfister, Nassir Navab, Interventional Tool Tracking using Discrete Optimization, IEEE Transactions on Medical Imaging, volume 32, pp.544–555, 2013
• Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Real-Time RGB-D Camera Relocalization, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp.173–179, 2013
• Ben Glocker, Darko Zikic, Ender Konukoglu, David R Haynor, Antonio Criminisi, Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.262–270, 2013
• Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M Pohl, WESD–Weighted Spectral Distance for Measuring Shape Dissimilarity, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), volume 35, pp.2284–2297, 2013

2012 (7)

• Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, C Demiralp, Jamie Shotton, OM Thomas, T Das, R Jena, SJ Price, Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-Channel MR, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.369–376, 2012
• D. Zikic, B. Glocker, E. Konukoglu, J. Shotton, A. Criminisi, D. Ye, C. Demiralp, O.M. Thomas, T. Das, R. Jena, S. Price, Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues, MICCAI Workshop and Challenge on Multimodal Brain Tumor Segmentation (BRATS), 2012
• Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi, Neighbourhood Approximation Forests, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.75–82, 2012
• Ben Glocker, Johannes Feulner, Antonio Criminisi, David R Haynor, Ender Konukoglu, Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.590–598, 2012
• Marco Feuerstein, Ben Glocker, Takayuki Kitasaka, Yoshihiko Nakamura, Shingo Iwano, Kensaku Mori, Mediastinal Atlas Creation from 3-D Chest Computed Tomography Images: Application to Automated Detection and Station Mapping of Lymph Nodes, Medical image analysis, volume 16, pp.63–74, 2012
• Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi, Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation, European Conference on Computer Vision (ECCV), pp.870–881, 2012
• Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M Pohl, Discriminative Segmentation-based Evaluation through Shape Dissimilarity, IEEE Transactions on Medical Imaging, volume 31, pp.2278–2289, 2012

2011 (4)

• K. Murphy, B. van Ginneken, J.M. Reinhardt, S. Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, G.E. Christensen, V. Garcia, T. Vercauteren, N. Ayache, O. Commowick, G. Malandain, B. Glocker, N. Paragios, N. Navab, V. Gorbunova, J. Sporring, M. de Bruijne, Xiao Han, M.P. Heinrich, J.A. Schnabel, M. Jenkinson, C. Lorenz, M. Modat, J.R. McClelland, S. Ourselin, S.E.A. Muenzing, M.A. Viergever, D. De Nigris, D.L. Collins, T. Arbel, M. Peroni, Rui Li, G.C. Sharp, A. Schmidt-Richberg, J. Ehrhardt, R. Werner, D. Smeets, D. Loeckx, Gang Song, N. Tustison, B. Avants, J.C. Gee, M. Staring, S. Klein, B.C. Stoel, M. Urschler, M. Werlberger, J. Vandemeulebroucke, S. Rit, D. Sarrut, J. P W Pluim, Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge, IEEE Transactions on Medical Imaging, volume 30, pp.1901-1920, 2011
• Ben Glocker, Random Fields for Image Registration, PhD Thesis, 2011
• Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez Moeller, Stephan Nekolla, Nassir Navab, Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.239–247, 2011
• Ben Glocker, Aristeidis Sotiras, Nikos Komodakis, Nikos Paragios, Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods, Annual review of biomedical engineering, volume 13, pp.219–244, 2011

2010 (5)

• Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab, Markov Random Field Optimization for Intensity-based 2D-3D Registration, SPIE Medical Imaging, pp.762334–762334, 2010
• Tim Hauke Heibel, Ben Glocker, Nikos Paragios, Nassir Navab, Needle Tracking through Higher-Order MRF Optimization, IEEE International Symposium on Biomedical Imaging (ISBI), pp.624–627, 2010
• Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios, Simultaneous Geometric-Iconic Registration, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.676–683, 2010
• Ben Glocker, T Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother, Triangleflow: Optical Flow with Triangulation-based Higher-Order Likelihoods, European Conference on Computer Vision (ECCV), pp.272–285, 2010
• Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab, Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization, Medical image analysis, volume 14, pp.550–562, 2010

2009 (9)

• Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab, Approximated Curvature Penalty in Non-rigid Registration using Pairwise MRFs, Advances in Visual Computing, pp.1101–1109, 2009
• Christian Wachinger, Simon Baumann, Jochen Zeltner, Ben Glocker, Nassir Navab, Sphere Extraction in MR Images with Application to Whole-body MRI, SPIE Medical Imaging, pp.72594J–72594J, 2009
• Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, M Hansen, Nassir Navab, MRI Composing for Whole Body Imaging, Bildverarbeitung f"ur die Medizin 2009, pp.420–424, 2009
• Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab, Linear Image Registration through MRF Optimization, IEEE International Symposium on Biomedical Imaging (ISBI), pp.422–425, 2009
• Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab, Discrete Tracking of Parametrized Curves, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1754–1761, 2009
• Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-Franccois Deux, Nikos Paragios, Graphical Models and Deformable Diffeomorphic Population Registration using Global and Local Metrics, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.672–679, 2009
• Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios, Dense Registration with Deformation Priors, Information processing in medical imaging (IPMI), pp.540–551, 2009
• Nikos Komodakis, Ahmed Besbes, Ben Glocker, Nikos Paragios, Biomedical Image Analysis using Markov Random Fields & Efficient Linear Programing, Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pp.6628–6631, 2009
• Selen Atasoy, Ben Glocker, Stamatia Giannarou, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab, Probabilistic Region Matching in Narrow-band Endoscopy for Targeted Optical Biopsy, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.499–506, 2009

2008 (7)

• Selen Atasoy, Martin Groher, Darko Zikic, Ben Glocker, Tobias Waggershauser, Marcus Pfister, Nassir Navab, Real-time Respiratory Motion Tracking: Roadmap Correction for Hepatic Artery Catheterizations, SPIE Medical imaging, pp.691815–691815, 2008
• Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab, Effiziente nichtlineare Registrierung mittels diskreter Optimierung, Bildverarbeitung f"ur die Medizin 2008, pp.87–91, 2008
• Michael Sass Hansen, Rasmus Larsen, Ben Glocker, Nassir Navab, Adaptive Parametrization of Multivariate B-Splines for Image Registration, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1–8, 2008
• Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali Khamene, Rasmus Larsen, Nassir Navab, Computing Minimal Deformations: Application to Construction of Statistical Shape Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1–8, 2008
• Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab, Deformable Mosaicing for Whole-body MRI, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.113–121, 2008
• Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Optical Flow Estimation with Uncertainties through Dynamic MRFs, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1–8, 2008
• Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios, Dense Image Registration through MRFs and Efficient Linear Programming, Medical image analysis, volume 12, pp.731–741, 2008

2007 (4)

• Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios, 4D Ventricular Segmentation and Wall Motion Estimation using Efficient Discrete Optimization, Advances in Visual Computing, pp.189–198, 2007
• Ben Glocker, Sonja Buhmann, Chlodwig Kirchhoff, Thomas Mussack, Maximilian Reiser, Nassir Navab, Towards a Computer-Aided Diagnosis System for Colon Motility Dysfunctions, SPIE Medical Imaging, pp.65140B–65140B, 2007
• Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab, Inter and Intra-Modal Deformable Registration: Continuous Deformations meet Efficient Optimal Linear Programming, Information processing in medical imaging (IPMI), pp.408–420, 2007
• Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab, Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.536–543, 2007