License Agreement
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Copyright (c) 2016, Henry Ford Hospital – Image Analysis Laboratory All rights reserved.
Redistribution and use of the source codes with or without modification, are permitted provided that the following conditions are met:
* Redistributions of the shared data and the source codes must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in the binary form of the shared code must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution
DISCLAIMER:
The shared data, the clinical information and MATLAB source codes are provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of the shared data and source codes, even if advised of the possibility of such damage.
Users may use any information of the shared data at their own risk and the shared data and information are not for the purpose of being used in business, commercialization, and clinic; they have been shared just for the research purposes.
Please cite the related articles for using the segmentation of Cingulum1, Fornix1, and Corpus Callosum2, uncertainty analysis3 or DTI-based modeling4 MATLAB code and its relevant image modalities (DTI, T1, and FLAIR).
1 Nazem-Zadeh, M.R., Schwalb, J.M., Elisevich, K.V., Bagher-Ebadian, H., Hamidian, H., Akhondi-Asl, A.R., Jafari-Khouzani, K. and Soltanian-Zadeh, H., 2014. Lateralization of temporal lobe epilepsy using a novel uncertainty analysis of MR diffusion in hippocampus, cingulum, and fornix, and hippocampal volume and FLAIR intensity. Journal of the neurological sciences, 342(1), pp.152-161.
2 Nazem-Zadeh, M.R., Elisevich, K., Air, E.L., Schwalb, J.M., Divine, G., Kaur, M., Wasade, V.S., Mahmoudi, F., Shokri, S., Bagher-Ebadian, H. and Soltanian-Zadeh, H., 2015. DTI-based Response-Driven Modeling of mTLE Laterality. NeuroImage: Clinical.
Copyright (c) 2016, Henry Ford Hospital – Image Analysis Laboratory All rights reserved.
Redistribution and use of the source codes with or without modification, are permitted provided that the following conditions are met:
* Redistributions of the shared data and the source codes must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in the binary form of the shared code must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution
DISCLAIMER:
The shared data, the clinical information and MATLAB source codes are provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of the shared data and source codes, even if advised of the possibility of such damage.
Users may use any information of the shared data at their own risk and the shared data and information are not for the purpose of being used in business, commercialization, and clinic; they have been shared just for the research purposes.
Please cite the related articles for using the segmentation of Cingulum1, Fornix1, and Corpus Callosum2, uncertainty analysis3 or DTI-based modeling4 MATLAB code and its relevant image modalities (DTI, T1, and FLAIR).
1 Nazem-Zadeh, M.R., Schwalb, J.M., Elisevich, K.V., Bagher-Ebadian, H., Hamidian, H., Akhondi-Asl, A.R., Jafari-Khouzani, K. and Soltanian-Zadeh, H., 2014. Lateralization of temporal lobe epilepsy using a novel uncertainty analysis of MR diffusion in hippocampus, cingulum, and fornix, and hippocampal volume and FLAIR intensity. Journal of the neurological sciences, 342(1), pp.152-161.
2 Nazem-Zadeh, M.R., Elisevich, K., Air, E.L., Schwalb, J.M., Divine, G., Kaur, M., Wasade, V.S., Mahmoudi, F., Shokri, S., Bagher-Ebadian, H. and Soltanian-Zadeh, H., 2015. DTI-based Response-Driven Modeling of mTLE Laterality. NeuroImage: Clinical.