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Benjamin Irving

Research Focus

I am a post-doctoral researcher working in the area of tumour detection and monitoring in order to improve patient outcomes. This research interfaces the fields of medical image analysis, modelling and machine learning, and relies on close collaboration with radiologists and oncologists. A core focus has been dynamic contrast enhanced (DCE) MRI with a growing focus on multimodality analysis.

Previous research has focussed on the areas of airway segmentation and shape modelling for detection of airway disease, ultrasound and mammography correspondence, and radiation physics, in both industry and academia.

Alternative pages: Linkedin Personal page

Awards and Scholarships


Journal articles and peer-reviewed conference proceedings

  • Irving, B et al (2017) Perfusion-supervoxels for DCE-MRI based tumor subregion assessment. ISMRM. in Proceedings of the 7th International Workshop on Statistical Atlases and Computational Modelling of the Heart, 2016, pp. 1–9


  • Popescu, I, Irving, B et al. (2016) Myocardial scar quantification using slic supervoxels - parcellation based on tissue characteristic strains.
  • Brady, M., Highnam, R., Irving, B., and Schnabel, J.A. (2016). Oncological image analysis. Medical Image Analysis (accepted)
  • Irving, B., Franklin, J.M., Papiez, B.W., Anderson, E.M., Sharma, R.A., Gleeson, F.V., Brady, M., and Schnabel, J.A. (2016). Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Analysis, 21 (32), 69-83.


  • Bates, R., Risser, L., Irving, B., Papiez, B. W., Kannan, P., Kersemans, V., & Schnabel, J. A. (2015). Filling Large Discontinuities in 3D Vascular Networks Using Skeleton-and Intensity-Based Information. In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015 (pp. 157-164). Springer International Publishing.
  • Kersemans, V., Kannan, P., Beech, J. S., Bates, R., Irving, B., Gilchrist, S., ... & Smart, S. C. (2015). Improving In Vivo High-Resolution CT Imaging of the Tumour Vasculature in Xenograft Mouse Models through Reduction of Motion and Bone-Streak Artefacts. PloS one, 10(6).
  • Jolanta Mirecka, Benjamin Irving, Pavitra Kannan, Veerle Kersemans, P Danny Allen, Sean C Smart, Paul Kinchesh, Ruth J Muschel, Mark Jenkinson  and Julia A Schnabel (2015) Statistical Texture Modeling of Tumour Perfusion Heterogeneity in Dynamic Contrast-Enhanced MRI.



  • Irving, B; Tanner, L; Enescu, M; Bhushan, M; Hill, EJ; Franklin, J; Anderson, EM; Sharma, RA; Schnabel, JA; Brady, M. Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI. Proc. Abdominal Imaging. Computation and Clinical Applications, 2013, 8198, 126-135.
  • Irving, B.; Douglas, T.S. & Taylor, P. 2D X-ray airway tree segmentation by 3D deformable model projection and registration . Proc. of Fifth International Workshop on Pulmonary Image Analysis, 2013.
  • Andronikou, S.; Irving, B.; Hlabangana, L.; Pillay, T.; Taylor, P.; Goussard, P. & Gie, R. Technical developments in postprocessing of paediatric airway imaging. Pediatric Radiology, 2013, 43, 269-284


  • Lo, P.; van Ginneken, B.; Reinhardt, J. M.; Yavarna, T.; de Jong, P. A.; Irving, B.; Fetita, C.; Ortner, M.; Pinho, R.; Sijbers, J.; Feuerstein, M.; Fabijanska, A.; Bauer, C.; Beichel, R.; Mendoza, C. S.; Wiemker, R.; Lee, J.; Reeves, A. P.; Born, S.; Weinheimer, O.; van Rikxoort, E. M.; Tschirren, J.; Mori, K.; Odry, B.; Naidich, D. P.; Hartmann, I.; Hoffman, E. A.; Prokop, M.; Pedersen, J. H. & de Bruijne, M. Extraction of Airways From CT (EXACT'09) IEEE Transactions on Medical Imaging, 2012, 31, 2093 -2107
  • Irving, B. Computer Assisted Detection and Modelling of Paediatric Airway Pathology from Medical Images, PhD Thesis, University College London, 2012.


  • Irving, B.; Goussard, P.; Gie, R.; Todd-Pokropek, A. & Taylor, P. Identification of paediatric tuberculosis from airway shape features. Proc. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2011, 14, 133-140.
  • Irving, B.; Todd-Pokropek, A. & Taylor, P. El-Baz, A. & Suri, J. (Eds.) Airway Segmentation and Analysis from Computed Tomography. Lung Imaging and Computer Aided Diagnosis, CRC press, 2011.
  • Irving, B.; Goussard, P.; Gie, R.; Todd-Pokropek, A. & Taylor, P. Segmentation of obstructed airway branches in CT using airway topology and statistical shape analysis. Proc. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2011, 447-451
  • Irving, B.; Taylor, P. & Todd-Pokropek, A. 3D segmentation of the airway tree using a morphology based method. Proc. of Second International Workshop on Pulmonary Image Analysis, 2009, 297-307.
  • Irving, B.; Maree, G.; Hering, E. & Douglas, T. Radiation dose from a linear slit scanning X-ray machine with full-body imaging capabilities. Radiation Protection Dosimetry, 2008, 130, 482-489.
  • Maree, G.; Irving, B. & Hering, E. Paediatric dose measurement in a full-body digital radiography unit. Pediatric Radiology, 2007, 37, 990-997


  • Dr Benjamin (Ben) Irving
  • Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Old Road Campus Research Building (off Roosevelt Drive), Oxford, OX3 7DQ
  • benjamin.irving <_at_>