BundleMAP: anatomically localized classification, regression, and hypothesis testing in diffusion MRI M Khatami, T Schmidt-Wilcke, PC Sundgren, A Abbasloo, B Schölkopf, ... Pattern Recognition 63, 593-600, 2017 | 21 | 2017 |
BundleMAP: anatomically localized features from dMRI for detection of disease M Khatami, T Schmidt-Wilcke, PC Sundgren, A Abbasloo, B Schölkopf, ... Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 4 | 2015 |
Parcellation-Free prediction of task fMRI activations from dMRI tractography M Khatami, R Wehler, T Schultz Medical Image Analysis 76, 102317, 2022 | 3 | 2022 |
Classification on large networks: A quantitative bound via motifs and graphons A Haupt, T Schultz, M Khatami, N Tran Advances in Mathematical Sciences: AWM Research Symposium, Houston, TX …, 2020 | 3 | 2020 |
CoBundleMAP: Consistent 2D parameterization of fiber bundles across subjects and hemispheres M Khatami, R Wehler, T Schultz 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 2 | 2019 |
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications. C Hänel, M Khatami, TW Kuhlen, B Weyers EuroRV³@ EuroVis, 23-27, 2016 | 2 | 2016 |
A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography M Khatami, K Sakreida, G Neuloh, T Schultz Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 1 | 2017 |
Using probabilistic machine learning methods to improve beef cattle price modeling and promote beef production efficiency and sustainability in Canada E Rahmani, M Khatami, E Stephens Sustainability 16 (5), 1789, 2024 | | 2024 |
Open-Box Training of Kernel Support Vector Machines: Opportunities and Limitations M Khatami, T Schultz The Eurographics Association, 2019 | | 2019 |