Imperial College London

Dr Ben Glocker

Faculty of EngineeringDepartment of Computing

Senior Lecturer



+44 (0)20 7594 8334b.glocker Website CV




377Huxley BuildingSouth Kensington Campus






Ben is Lecturer in Medical Image Computing at Imperial since 2013. He is a member of the Biomedical Image Analysis Group in the section of Visual Information Processing at the Department of Computing. His research is in the area of biomedical image analysis with a focus on machine learning.


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Selected Publications

Journal Articles

Valindria VV, Lavdas I, Bai W, et al., 2017, Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth, IEEE Transactions on Medical Imaging, Vol:36, ISSN:0278-0062, Pages:1597-1606

Kanavati F, Tong T, Misawa K, et al., 2017, Supervoxel classification forests for estimating pairwise image correspondences, Pattern Recognition, Vol:63, ISSN:0031-3203, Pages:561-569

Whelan T, Salas-Moreno RF, Glocker B, et al., 2016, ElasticFusion: Real-time dense SLAM and light source estimation, International Journal of Robotics Research, Vol:35, ISSN:0278-3649, Pages:1697-1716

Rueckert D, Glocker B, Kainz B, 2016, Learning clinically useful information from images: Past, present and future, Medical Image Analysis, Vol:33, ISSN:1361-8415, Pages:13-18

Kamnitsas K, Ledig C, Newcombe VFJ, et al., 2017, Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation, Medical Image Analysis, Vol:36, ISSN:1361-8415, Pages:61-78

Glocker B, Shotton J, Criminisi A, et al., 2015, Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding, IEEE Transactions on Visualization and Computer Graphics, Vol:21, ISSN:1077-2626, Pages:571-583

Zikic D, Glocker B, Criminisi A, 2014, Encoding atlases by randomized classification forests for efficient multi-atlas label propagation, Medical Image Analysis, Vol:18, ISSN:1361-8415, Pages:1262-1273

Konukoglu E, Glocker B, Criminisi A, et al., 2013, WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol:35, ISSN:0162-8828, Pages:2284-2297

Konukoglu E, Glocker B, Zikic D, et al., 2013, Neighbourhood approximation using randomized forests, Medical Image Analysis, Vol:17, ISSN:1361-8415, Pages:790-804

Glocker B, Komodakis N, Tziritas G, et al., 2008, Dense image registration through MRFs and efficient linear programming, Medical Image Analysis, Vol:12, ISSN:1361-8415, Pages:731-741

Glocker B, Sotiras A, Komodakis N, et al., 2011, Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods, Annual Review of Biomedical Engineering, Vol:13, ISSN:1523-9829, Pages:219-244

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