APA (7th ed.) Citation

Shoshtari, A. S., Lin, S., McKeown, M. J., & Wang, Z. J. (2016, July). A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis. 2016 International Joint Conference on Neural Networks (IJCNN), 4518-4524. https://doi.org/10.1109/IJCNN.2016.7727791

Chicago Style (17th ed.) Citation

Shoshtari, Ava Sheikhi, Sue-Jin Lin, Martin J. McKeown, and Z. Jane Wang. "A Multimodal Data Fusion Approach Efficiently Predicts Disease Duration in Multiple Sclerosis." 2016 International Joint Conference on Neural Networks (IJCNN) Jul. 2016: 4518-4524. https://doi.org/10.1109/IJCNN.2016.7727791.

MLA (9th ed.) Citation

Shoshtari, Ava Sheikhi, et al. "A Multimodal Data Fusion Approach Efficiently Predicts Disease Duration in Multiple Sclerosis." 2016 International Joint Conference on Neural Networks (IJCNN), Jul. 2016, pp. 4518-4524, https://doi.org/10.1109/IJCNN.2016.7727791.