Christian Wachinger

Christian Wachinger

wachinger
I am an interim Professor at Ludwig Maximilian University and head of AI-Med. I have previously completed post-doctoral training at the Medical Vision Group in the Computer Science and Artificial Intelligence Lab at MIT and 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 M√ľnchen.

Tel: 089 4400 56900
Email: christian dot wachinger at med dot uni-muenchen dot de
Research Gate
/ LinkedIn / ORCID / Google Scholar / DBLP

Old website at MIT

 

Key publications:

C. Wachinger, M. Reuter, T. Klein,
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy,
NeuroImage, 2017.

C. Wachinger, D. Salat, M. Weiner, M. Reuter,
Whole-brain Analysis Reveals Increased Neuroanatomical Asymmetries in Dementia for Hippocampus and Amygdala (PDF),
Brain, 2016.

C. Wachinger, M. Reuter,
Domain Adaptation for Alzheimer’s Disease Diagnostics,
NeuroImage, Vol 139, pp. 470-479, 2016

C. Wachinger, K. Fritscher, G. Sharp, P. Golland,
Contour-Driven Atlas-Based Segmentation,
IEEE Transactions on Medical Imaging, Vol 34(12), pp. 2492-505, 2015.

C. Wachinger, M. Toews, G. Langs, W. Wells, P. Golland,
Keypoint Transfer Segmentation (Presentation),
Information Processing in Medical Imaging (IPMI), 2015.

C. Wachinger, P. Golland,
Sampling from Determinantal Point Processes for Scalable Manifold Learning (Presentation),
Information Processing in Medical Imaging (IPMI), 2015.
See ArXiv article for an extended version.

C. Wachinger, P. Golland, W. Kremen, B. Fischl, M. Reuter,
BrainPrint: A Discriminative Characterization of Brain Morphology,
NeuroImage, Volume 109, Pages 232-248, 2015 (Cover).

C. Wachinger, N. Navab,
Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization,
Appendix, Supplementary, Video
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
Volume 35, Number 5, Pages 1221-1233, 2013.

C. Wachinger, T. Klein, N. Navab,
The 2D Analytic Signal for Envelope Detection and Feature Extraction on Ultrasound Images,
Medical Image Analysis, Volume 16, Issue 6, August 2012, Pages 1073-1084, 10.1016/j.media.2012.05.001.

C. Wachinger, N. Navab,
A Contextual Maximum Likelihood Framework for Modeling Image Registration,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island (USA), June 2012.

C. Wachinger, M. Yigitsoy, E. Rijkhorst, N. Navab,
Manifold Learning for Image-Based Breathing Gating in Ultrasound and MRI,
Medical Image Analysis, Volume 16, Issue 4, May 2012, Pages 806-818.

C. Wachinger, N. Navab,
Entropy and Laplacian Images: Structural Representations for Multi-Modal Registration,
Medical Image Analysis, Volume 16, Issue 1, January 2012, Pages 1-17.