Christian Ledig

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Talks

If you are interested in hearing about my work, please get in touch.

C. Ledig, “Pushing the envelope of super-resolution”, LondonCV MeetUp, UK, September 2017. [talk]

C. Ledig, “Photo-realistic Single Image Super-Resolution using a Generative Adversarial Network”, CVPR oral, Honolulu, USA, July 2017. [talk] [slides]

C. Ledig (together with W. Shi), “Neural networks for image and video super resolution”, Invited Talk, CVPR Workshop: New Trends in Image Restoration and Enhancement (NTIRE), Honolulu, USA, July 2017.

C. Ledig, “Image and Video Super-Resolution with Neural Networks: Increasing Perceptual Quality”, Hudl, UK, June 2017.

C. Ledig (together with W. Shi and J. Caballero), “Neural network's for super resolution”, Imperial College London, UK, March 2017.

C. Ledig, “Automated Brain Morphometry in Clinical Practice? Feasibility, Opportunities and Challenges”, German Cancer Research Center, Heidelberg, Germany, November 2016.

C. Ledig, “Classification of Incomplete Data with Latent Trees”, Magic Pony Technology, London, UK, May 2016.

C. Ledig, “Automated brain morphometry for everyone?”, Microsoft Research, Cambridge, UK, March 2016.

C. Ledig, “Alzheimer's disease state classification using structural volumetry, cortical thickness and intensity features,” MICCAI Challenge: Computer-Aided Diagnosis of Dementia (CADDementia), Boston, Massachusetts, USA, September 2014.

C. Ledig, “Consistent and robust 4D whole-brain segmentation: application to traumatic brain injury,” Harvard Medical School, Boston Children's Hospital, Boston, Massachusetts, USA, June 2014.

C. Ledig, “Patch-based Evaluation of Image Segmentation,” Harvard Medical School, Boston Children's Hospital, Boston, Massachusetts, USA, June 2014.

C. Ledig, “Consistent and robust 4D whole-brain segmentation: application to traumatic brain injury,” International Symposium of Biomedical Imaging (ISBI), Beijing, China, May 2014.

C. Ledig, “Improving whole-brain segmentations through incorporating regional image intensity statistics,” SPIE Medical Imaging, Orlando, Florida, USA, February 2013.

C. Ledig, “Multi-class brain segmentation using atlas propagation and EM-based refinement,” International Symposium of Biomedical Imaging (ISBI), Barcelona, Spain, May 2012.

C. Ledig, “Hippocampal atrophy measurement and multi-class brain segmentation on MRI scans,” Imperial College London and University College of London Meeting, London, UK, October 2012.

C. Ledig, “Segmentation of MRI brain scans using MALP-EM,” MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labeling, Nice, France, October 2012.

C. Ledig, “PBSI: A probabilistic extension of the boundary shift integral,” MICCAI Workshop on Novel Imaging Biomarkers for Alzheimer's Disease, Nice, France, October 2012.

C. Ledig, “Neonatal brain segmentation using second order neighbourhood information,” MICCAI Workshop on Perinatal and Paediatric Imaging, Nice, France, October 2012.

C. Ledig, “Structural atrophy measurement and multi-class segmentation on MR brain scans,” VTT Technical Research Centre of Finland, Tampere, Finland, September 2012.

C. Ledig, “Multi-class brain segmentation and atrophy measurement using Expectation-Maximization,” The Neurodis Foundation, Lyon, France, May 2012.