- Ass. Prof., Researcher, Computer science
My main research focus is on the application of image processing, computer vision and machine learning techniques in medical imaging as well as the statistical interpretations of results retrieved in medical imaging problems. During the last years, I have worked with high/dimensional regression on structural MRI images, especially focusing on the approach via sparse Bayesian learning, as well as the development of feature selection algorithms based on random forests. Currently, I am applying these types of algorithms to combined MR/PET data acquired at NRU.
2017 - Assistant Professor at the Department of Computer Science, University of Copenhagen &
Researcher at the Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark
2014 - 2017 Postdoctoral Fellow at the Neurobiology Research Unit (Gitte Moos Knudsen, Douglas Greve) 2011 - 2013 Postdoctoral Research Fellow in Radiology at Harvard Medical School & Research Fellow at Massachusetts General Hospital, Department of Radiology, MGH @ Martinos Center for Biomedical Imaging, Charlestown, USA (Koen van Leemput) 2011 Research and Development intern at Medicsight PLC (Greg Slabough), London, UK 2008 - 2011 PhD in Computer Science at the Department of Computer Science, University of Copenhagen (Mads Nielsen, Marleen de Bruijne, Sami Brandt), Copenhagen, Denmark 2002 - 2007 MSc in Physics from the University of Karlsruhe (Ulrich Nierste, Frank Petriello), Karlsruhe, Germany
Most Recent work:
Cerebellar heterogeneity and its impact on PET data quantification of 5-HT receptor radioligands. Ganz, Melanie; Feng,Ling; Hansen, Hanne D.; Beliveau, Vincent; Svarer, Claus; Knudsen, Gitte M; Greve, Douglas N. Accepted at Journal of Cerebral Blood Flow or Metabolism, November 2016.
A high-resolution in vivo atlas of the human brain's serotonin system. Beliveau, Vincent; Ganz, Melanie; Feng,Ling; Ozenne, Bruce; Højgaard, Liselotte; Fisher, Patrick M.; Svarer, Claus; Greve, Douglas; Knudsen, Gitte M. Accepted at The Journal of Neuroscience, November 2016.
Crowdsourcing for error detection in cortical surface delineations. Ganz, Melanie; Kondermann, Daniel; Andrulis, Jonas; Knudsen,. Gitte Moos; Maier-Hein, Lena. International Journal of Computer Assisted Radiology and Surgery : 1-6, June 2016. Received KUKA IJCARS Best Paper Award 3rd place
Serotonin 2A receptor agonist binding in the human brain with [11 C] Cimbi-36: Test–retest reproducibility and head-to-head comparison with the antagonist [18 F] Altanserin. Ettrup, Anders; Svarer, Claus; McMahon, Brenda; da Cunha-Bang, Sofi; Lehel, Szabolcs; Møller, Kirsten; Dyssegaard, Agnete; Ganz, Melanie; Beliveau, Vincent; Jørgensen, Louise Møller; Gillings, Nic; Knudsen, Gitte M. NeuroImage, 130: 167-174, April 2016.
Relevant Feature Set Estimation with a Knock-out Strategy and Random Forests. Ganz, Melanie, Douglas N. Greve, Bruce Fischl, Ender Konukoglu, and Alzheimer's Disease Neuroimaging Initiative. NeuroImage 122: 131-148, Nov 2015.
Estimation of Regional Seasonal Variations in SERT-levels using the FreeSurfer PET pipeline: a reproducibility study. Nørgaard, Martin; Ganz, Melanie; Svarer, Claus; Beliveau, Vincent; Fisher, Patrick M; Mc Mahon, Brenda; Greve, Douglas N; Strother, Stephen C; Knudsen, Gitte M. Proceedings of the MICCAI workshop on Computational Methods for Molecular Imaging, in conjunction with MICCAI 2015, October 2015.
Approximate False Positive Rate Control in Selection Frequency for random Forest. Konukoglu, Ender; Ganz, Melanie. Preprint submitted to ArXiv, October 2014. http://arxiv.org/abs/1410.2838
For a full list, visit: http://melanie.clausundmelanie.de/publications.