Radhouène Neji, Noura Azzabou, Nikos Paragios, Gilles Fleury. A Convex Semi-definite Positive Framework for DTI Estimation and Regularization. In George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Tanveer Fathima Syeda-Mahmood, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Thomas Malzbender, editors, Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I. Volume 4841 of Lecture Notes in Computer Science, pages 220-229, Springer, 2007. [doi]
@inproceedings{NejiAPF07,
title = {A Convex Semi-definite Positive Framework for DTI Estimation and Regularization},
author = {Radhouène Neji and Noura Azzabou and Nikos Paragios and Gilles Fleury},
year = {2007},
doi = {10.1007/978-3-540-76858-6_22},
url = {http://dx.doi.org/10.1007/978-3-540-76858-6_22},
researchr = {https://researchr.org/publication/NejiAPF07},
cites = {0},
citedby = {0},
pages = {220-229},
booktitle = {Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I},
editor = {George Bebis and Richard D. Boyle and Bahram Parvin and Darko Koracin and Nikos Paragios and Tanveer Fathima Syeda-Mahmood and Tao Ju and Zicheng Liu and Sabine Coquillart and Carolina Cruz-Neira and Torsten Müller and Thomas Malzbender},
volume = {4841},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-540-76857-9},
}