2008 |
6 | EE | Jinghao Zhou,
Sukmoon Chang,
Qingshan Liu,
George J. Pappas,
Vasilios Boronikolas,
Michael Michaelides,
Nora D. Volkow,
Panayotis K. Thanos,
Dimitris N. Metaxas:
A novel learning based segmentation method for rodent brain structures using MRI.
ISBI 2008: 61-64 |
5 | EE | Georg Langs,
Dimitris Samaras,
Nikos Paragios,
Jean Honorio,
Nelly Alia-Klein,
Dardo Tomasi,
Nora D. Volkow,
Rita Z. Goldstein:
Task-Specific Functional Brain Geometry from Model Maps.
MICCAI (1) 2008: 925-933 |
2005 |
4 | EE | Lei Zhang,
Dimitris Samaras,
Dardo Tomasi,
Nora D. Volkow,
Rita Goldstein:
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging.
CVPR (1) 2005: 1211-1217 |
3 | EE | Lei Zhang,
Dimitris Samaras,
Dardo Tomasi,
Nelly Alia-Klein,
Lisa Cottone,
Andreana Leskovjan,
Nora D. Volkow,
Rita Goldstein:
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data.
MICCAI 2005: 679-687 |
2 | EE | Lei Zhang,
Dimitris Samaras,
Nelly Alia-Klein,
Nora D. Volkow,
Rita Goldstein:
Modeling Neuronal Interactivity using Dynamic Bayesian Networks.
NIPS 2005 |
2001 |
1 | EE | Tomihisa Welsh,
Klaus Mueller,
Wei Zhu,
Nora D. Volkow,
Jeffrey Meade:
Graphical Strategies to Convey Functional Relationships in the Human Brain: A Case Study.
IEEE Visualization 2001 |