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Arno Klein -- cv Asst. Professor of Clinical Neurobiology Columbia University |
Arno Klein
is the Principal Investigator of the NIMH R01 grant (MH084029-02)
that is funding the Mindboggle project, and is the organizer of the
BrainCOLOR
manual brain labeling project.
Arno is excited about brain imaging and visualization of complex information. He has conducted research in 3-D display holography from a high school basement lab to MIT's Media Lab, tissue optics at Caltech, and automated anatomical brain labeling at Cornell. Before coming to Columbia, he did information visualization work at the Parsons Institute for Information Mapping. Side projects under active development include comprehensive photodocumentation of the Ellora cave temples of India, taxonomic classification of information visualization, text parsing and analytics, and time-lapse photography. |
Forrest Bao Graduate student Computer Science Texas Tech University |
Forrest has been developing algorithms to extract sulcal features for Mindboggle. He is now preparing for his doctoral thesis defense on knowledge representation and reasoning at Texas Tech University in March 2012. |
Yrjö Häme Graduate student Biomedical Engineering Columbia University |
Yrjö is working on the feature matching component of Mindboggle. |
Eliezer Stavsky Graduate student Neurobiology and Behavior Columbia University |
Eliezer is working on surface shape analysis using Laplace-Beltrami spectra, and he is using semi-supervised learning approaches to propagate labels across a brain surface. |
Joachim Giard Postdoctoral Researcher Electrical Engineering UCL, Belgium |
Joachim is developing algorithms for computing depth along the surface of a brain after work related to his PhD thesis.
He is currently working at the Information and Communication Technologies, Electronics and Applied Mathematics Institute (ICTEAM) in the Communications and Remote Sensing Laboratory (TELE) on image-guided proton therapy in collaboration with an industrial partner. . |
Nolan Nichols PhD student Biomedical & Health Informatics University of Washington |
Nolan is building a graph database to support the informatics infrastructure underlying Mindboggle. He is excited about the translational aspects of the Mindboggle project, and finds this effort to be a nice complement to his thesis work in the areas of semantic data integration and sharing of human neuroimaging data. |
Collaborators |
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Satrajit Ghosh Research Scientist Research Lab of Electronics, MIT |
Satrajit Ghosh
is developing the software pipeline framework, NiPype, that we are planning to use for Mindboggle.
Satra's research areas include brain imaging, neuroanatomy, software engineering and speech communication. |
Brian Avants Assistant Professor PICSL, Department of Radiology University of Pennsylvania |
Brian Avants
is developing the ANTs registration software that performed very well in recent evaluation studies, and will be used in Mindboggle.
Brian's research interests include shape analysis, registration, open source software, templates, and statistics with diffeomorphisms. |
Alumni |
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Mireia Montañola Sales visiting Graduate student Member: 6/2011 - 12/2011 Electrical Engineering UCL, Belgium |
Mireia joined the lab first as a volunteer and later as a staff associate. She is still working on C++/VTK algorithms for cortical depth-based extraction of sulcal features for Mindboggle. |
Noah Lee Postdoctoral Research Scientist (and graduate student) Member: 9/2010 - 10/2011 |
Noah initiated development of the graph-based database, and built an interactive, browser-based WebGL interface. |
Denis Peruzzo Postdoctoral Research Scientist Member: 9/2010 - 6/2011 |
Denis came from the Department of Information Engineering at the University of Padova, Italy to study diffusion MRI tractography and graph-based feature matching for future extensions to Mindboggle. |
Ray Razlighi Postdoctoral Research Scientist Member: 2/2009 - 2/2010 |
Ray extended his doctoral work on similarity metrics for image registration and evaluated SIFT, SURF, and other feature extraction/matching algorithms for possible inclusion in Mindboggle. |