ei
Khatami, M., Schmidt-Wilcke, T., Sundgren, P., Abbasloo, A., Schölkopf, B., Schultz, T.
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease
In 6th International Workshop on Machine Learning in Medical Imaging, 9352, pages: 52-60, Lecture Notes in Computer Science, (Editors: L. Zhou, L. Wang, Q. Wang and Y. Shi), Springer, MLMI, 2015 (inproceedings)
ei
O’Donnell, L. J., Schultz, T.
Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data
In Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, pages: 299-319, (Editors: Hotz, I. and Schultz, T.), Springer, 2015 (inbook)
ei
Hermann, M., Schunke, A., Schultz, T., Klein, R.
A Visual Analytics Approach to Study Anatomic Covariation
In Proceedings of IEEE Pacific Visualization 2014, pages: 161-168, March 2014 (inproceedings)
ei
Wiens, V., Schlaffke, L., Schmidt-Wilcke, T., Schultz, T.
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes
In Eurographics Conference on Visualization, Short Papers, (Editors: Elmqvist, N. and Hlawitschka, M. and Kennedy, J.), EuroVis, 2014 (inproceedings)
ei
Gerber, P., Schlaffke, L., Heba, S., Greenlee, M., Schultz, T., Schmidt-Wilcke, T.
Juggling revisited — A voxel based morphometry study with expert jugglers
NeuroImage, 95, pages: 320-325, 2014 (article)
ei
Schultz, T., Nedjati-Gilani, G., Venkataraman, A., O’Donnell, L., Panagiotaki, E.
Computational Diffusion MRI and Brain Connectivity
pages: 255, Mathematics and Visualization, Springer, 2014 (book)
ei
Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.
Higher-Order Tensors in Diffusion Imaging
In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, pages: 129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)
ei
Schultz, T., Vilanova, A., Brecheisen, R., Kindlmann, G.
Fuzzy Fibers: Uncertainty in dMRI Tractography
In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, pages: 79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)
ei
Schmidt-Wilcke, T., Cagnoli, P., Wang, P., Schultz, T., Lotz, A., Mccune, W. J., Sundgren, P. C.
Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus
NeuroImage: Clinical, 5, pages: 291-297, 2014 (article)
ei
Schultz, T., Gröschel, S.
Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity
In Proceedings of Medical Image Computing and Computer-Assisted Intervention, Part I, pages: 663-670, (Editors: K Mori and I Sakuma and Y Sato and C Barillot and N Navab), Springer, MICCAI, 2013, Lecture Notes in Computer Science, vol. 8149 (inproceedings)
ei
Schultz, T., Schlaffke, L., Schölkopf, B., Schmidt-Wilcke, T.
HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization
Computer Graphics Forum, 32(3):121-130, (Editors: B Preim, P Rheingans, and H Theisel), Blackwell Publishing, Oxford, UK, Eurographics Conference on Visualization (EuroVis), 2013 (article)
ei
Schultz, T., Kindlmann, G.
Open-Box Spectral Clustering: Applications to Medical Image Analysis
IEEE Transactions on Visualization and Computer Graphics, 19(12):2100-2108, 2013 (article)
ei
Schultz, T., Gerber, P., Schmidt-Wilcke, T.
Juggling Increases Interhemispheric Brain Connectivity: A Visual and Quantitative dMRI Study.
Vision, Modeling and Visualization (VMV), 2012 (poster)
ei
Estépar, R., Ross, J., Krissian, K., Schultz, T., Washko, G., Kindlmann, G.
Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles
In pages: 1479-1482, IEEE, 9th International Symposium on Biomedical Imaging (ISBI) , 2012 (inproceedings)
ei
Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.
Higher-Order Tensors in Diffusion MRI
In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, (Editors: Westin, C. F., Vilanova, A. and Burgeth, B.), Springer, 2012 (inbook) Accepted
ei
Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.
MICCAI, Workshop on Computational Diffusion MRI, 2012 (electronic publication)
15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI , 2012 (proceedings)