Dr Ben Glocker

Faculty of Engineering, Department of Computing

Professor in Machine Learning for Imaging

Contact

Location

377Huxley BuildingSouth Kensington Campus

Summary

I am Professor in Machine Learning for Imaging co-leading the Biomedical Image Analysis Group. I lead the HeartFlow-Imperial Research Team and I am also Head of ML Research at Kheiron Medical Technologies.

My research is at the intersection of medical imaging and artificial intelligence aiming to build safe and ethical computational tools for improving image-based detection and diagnosis of disease.

Selected Publications

Journal Articles

Glocker B, Jones C, Bernhardt M, et al.Glocker B, Jones C, Bernhardt M, Winzeck S close, 2023, Algorithmic encoding of protected characteristics in chest X-ray disease detection models, Ebiomedicine, ISSN:2352-3964

Taylor-Phillips S, Seedat F, Kijauskaite G, et al.Taylor-Phillips S, Seedat F, Kijauskaite G, Marshall J, Halligan S, Hyde C, Given-Wilson R, Wilkinson L, Denniston AK, Glocker B, Garrett P, Mackie A, Steele RJ close, 2022, UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening, The Lancet Digital Health, Vol:4, ISSN:2589-7500, Pages:e558-e565

Bernhardt M, Jones C, Glocker B, 2022, Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms, Nature Medicine, Vol:28, ISSN:1078-8956, Pages:1157-+

Liu X, Glocker B, McCradden MM, et al.Liu X, Glocker B, McCradden MM, Ghassemi M, Denniston AK, Oakden-Rayner L close, 2022, The medical algorithmic audit., The Lancet Digital Health, Vol:4, ISSN:2589-7500, Pages:e384-e397

Bernhardt M, Castro DC, Tanno R, et al.Bernhardt M, Castro DC, Tanno R, Schwaighofer A, Tezcan KC, Monteiro M, Bannur S, Lungren M, Nori A, Glocker B, Alvarez-Valle J, Oktay O close, 2022, Active label cleaning for improved dataset quality under resource constraints, Nature Communications, Vol:13

Sinclair M, Schuh A, Hahn K, et al.Sinclair M, Schuh A, Hahn K, Petersen K, Bai Y, Batten J, Schaap M, Glocker B close, 2020, Atlas-ISTN: joint segmentation, registration and Atlas construction with image-and-spatial transformer networks

Coelho De Castro D, Walker I, Glocker B, 2020, Causality matters in medical imaging, Nature Communications, Vol:11, ISSN:2041-1723, Pages:1-10

Monteiro M, Newcombe VFJ, Mathieu F, et al.Monteiro M, Newcombe VFJ, Mathieu F, Adatia K, Kamnitsas K, Ferrante E, Das T, Whitehouse D, Rueckert D, Menon DK, Glocker B close, 2020, Multi-class semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning – an algorithm development and multi-centre validation study, The Lancet. Digital Health, Vol:2, ISSN:2589-7500, Pages:e314-e322

Schlemper J, Oktay O, Schaap M, et al.Schlemper J, Oktay O, Schaap M, Heinrich M, Kainz B, Glocker B, Rueckert D close, 2019, Attention gated networks: Learning to leverage salient regions in medical images., Med Image Anal, Vol:53, Pages:197-207

Conference

Pawlowski N, Castro DC, Glocker B, Deep structural causal models for tractable counterfactual inference, Neural Information Processing Systems (NeurIPS), arXiv

Monteiro M, Le Folgoc L, Coelho de Castro D, et al.Monteiro M, Le Folgoc L, Coelho de Castro D, Pawlowski N, Marques B, Kamnitsas K, van der Wilk M, Glocker B close, 2020, Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty, Curran Associates, Inc., Pages:12756-12767

More Publications