In October 2013 I joined Imperial as a Lecturer in Medical Image Computing. I am a member of the Biomedical Image Analysis Group in the section of Visual Information Processing at the Department of Computing.

My research focus is on advanced methods for medical image computing and computer vision. In particular, I am interested in machine learning techniques which leverage large population databases. Additionally, I work on 3D real-time reconstruction and its application to medical augmented reality.

Call for Papers: Submission deadline extended to 15 May

If you are using discrete graphical models in your research, please consider to submit a paper to our special issue in the Journal of Medical Image Analysis. More details here:
Special Issue on Discrete Graphical Models in Biomedical Image Analysis

Call for Participation

We are inviting everyone to participate in our 2nd MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging (CSI). The workshop will include two computational challenges on vertebrae segmentation and localization. Please see the official CSI 2014 Workshop Website.

EPSRC Centre for Doctoral Training in Medical Imaging

The King’s College London and Imperial College London EPSRC Centre for Doctoral Training (CDT) in Medical Imaging brings together two world leading research-focused universities in a unique collaboration to create an interdisciplinary training approach specifically designed to meet challenges in healthcare and Medical Imaging. The CDT will build on strong existing KCL/ICL collaborations including substantial joint grant funding, joint publications and current joint supervision. Some more information about potential PhD projects can be found here. Interested students should read 'how to apply'

SpineWeb Online

As a founding member of an international research initiative on spine imaging, we are proud to announce the official opening of the SpineWeb - A Collaborative Platform for Research on Spine Imaging and Image Analysis. Researchers are invited to actively participate in this initiative and contribute to the SpineWeb platform.