A Convex Semi-definite Positive Framework for DTI Estimation and Regularization

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]

Authors

Radhouène Neji

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Noura Azzabou

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Nikos Paragios

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Gilles Fleury

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