News: New website: Lab for Artificial Intelligence in Medical Imaging (AI-Med) DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy published in NeuroImage Research highlight in Nature Reviews Neurology Results about increasing asymmetry with progression of dementia published in Brain NeuroImage article on Domain adaptation for AD is featured on the cover of issue 139

I am heading the Lab for Artificial Intelligence in Medical Imaging (AI-Med) at Ludwig Maximilian University in the Department of Child and Adolescent Psychiatry, University Hospital Munich. I have previously completed post-doctoral training at the Medical Vision Group of the Computer Science and Artificial Intelligence Lab at MIT with a second appointment at the Lab for Computational Neuroimaging, Department of Neurology at Harvard medical school. I received my PhD and Diploma from the Computer Science Department at TU München supervised by Nassir Navab. I collaborate with Polina Golland, Martin Reuter, Bruce Fischl, Matt Toews and Sandy Wells. I like to explore mathematical concepts for the analysis of medical images with the ultimate goal of improving patient care and gaining a better understanding of disease. Most of my work involves probabilistic modeling, spectral methods, and differential geometry. My main research areas are image segmentation, image registration, shape analysis, and previously ultrasound imaging. My previous website at TU München is here. You can also find me on Research Gate, LinkedIn, ORCID, Google Scholar, and DBLP.

News Archive:

• Open Post-Doc Position in Computational Neuroimaging (pdf)
• Our article on Descriptor-Based Segmentation was accepted at IEEE TBME
• Our work on Domain adaptation for Alzheimer's disease diagnostics was accepted at NeuroImage
• Come to our workshop on Spectral and Shape Analysis in Medical Imaging at MICCAI 2016
• IPMI 2015 Slides and Poster online
• Our article on Contour-Driven Atlas-Based Segmentation was accepted at IEEE TMI
• Three papers accepted for IPMI 2015
• BrainPrint featured on the cover of NeuroImage Vol. 109
• Second prize for our work on Alzheimer's disease classification with BrainPrint at the CADdementia Challenge 2014
• Talk on Deep Learning in Medical Imaging
• Come to our workshop on Spectral Analysis in Medical Imaging at MICCAI 2015
• Our work on BrainPrint: A Discrimantive Characterization of Brain Morphology was accepted at NeuroImage
• Our work on robust multi-modal registration was accepted at Human Brain Mapping
• Join the MICCAI athletics program
• Come to our workshop on Image-Guided Adaptive Radiation Therapy
• MICCAI 2014 presentations online