Christian Ledig

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I am a full professor at the University of Bamberg. My focus lies on explainable Machine Learning (xAI) and its applications (especially in healthcare).

Before joining the University of Bamberg I was working in the US startup industry as Head of Artificial Intelligence at VideaHealth in Boston, MA and as a Sr Research Scientist at Imagen Technologies, Inc in Manhattan, New York. In those roles I was leading teams in which we built revolutionary AI-driven medical systems that can improve patient treatment.

I have over 10 years of research expertise in the fields of machine learning, computer vision and medical image analysis. My main focus lies on building FDA-regulated, AI-driven medical devices that enable better healthcare by reducing diagnostic errors and improving access to high quality medical diagnoses. Throughout my career I have published and contributed to 2 book chapters and more than 50 peer-reviewed research articles which were cited more than 14,000 times.

Previously, I was a Sr Computer Vision Researcher at Twitter in London, UK. My main research interest was the development of machine learning (deep learning) approaches for image and video super-resolution to improve the user's visual experience.

I was employed as Research Associate in the Biomedical Image Analysis (BiomedIA) group at Imperial College London, UK where I have obtained a PhD degree under the supervision of Daniel Rueckert in 2015 (Thesis title: “Robust Multi-Structure Segmentation of Magnetic Resonance Brain Images” [doi]).
From 2013 to 2015 I was working part-time as a Senior Imaging Scientist for IXICO, plc, commercialising selected algorithms of my research.

In 2014, I have spent one month on a research visit in the Computational Radiology Laboratory (CRL) in the Boston Children's Hospital, Harvard Medical School, MA, USA to work on statistical methods for outlier detection. From 2015 to 2016, I was affiliated as Visiting Researcher with the University of Cambridge, UK (Department of Medicine, Division of Anaesthesia) to support the integration of automatic methods for the analysis of medical images.

In 2011 I have established the ICPC student program for competitive programming at Imperial College London. In 2016, I have coached an Imperial College Student team to the ACM ICPC world finals in Phuket, Thailand [article].

Before joining the BiomedIA group I obtained a Diploma degree in Applied Mathematics (Dipl. Univ. Technomath., equiv. MSc.) from the Friedrich-Alexander University Erlangen-Nuremberg, Germany and was working for 12 months for Siemens Corporate Research, NJ, USA as Research Intern. During this time I wrote my Diploma thesis on the “Efficient Implementation of Nonrigid Registration Methods on commodity Hardware with CUDA” [pdf].

During my studies I was working with Siemens AG (Healthcare and Industry) for several years. Prior to my studies I have finished a three year apprenticeship as SoftwareEngineer@BellLabs with Lucent Technologies in Nuremberg, Germany.

I am an almuni of the Siemens training program Topaz (link in German) and the Leonardo Kolleg of the University of Erlangen-Nuremberg.

I have served as reviewer for several conferences and journals such as: ACM SIGGRAPH, ACM SIGGRAPH ASIA, IEEE CVPR, IEEE ICCV, MICCAI, IEEE ISBI, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Medical Imaging, Medical Image Analysis, SPIE Journal of Medical Imaging, Medical Physics, NeuroImage, Scientific Reports (Nature Publishing Group), Human Brain Mapping.