Sutcubasi, B. Et Al. 2019. Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches. NEURAL COMPUTING & APPLICATIONS , vol.31, no.9 , 4983-4992.

Sutcubasi, B., Metin, S. Z., Erguzel, T. T., Metin, B., Tas, C., Arikan, M. K., ... Tarhan, N.(2019). Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches. NEURAL COMPUTING & APPLICATIONS , vol.31, no.9, 4983-4992.

Sutcubasi, BERNİS Et Al. "Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches," NEURAL COMPUTING & APPLICATIONS , vol.31, no.9, 4983-4992, 2019

Sutcubasi, BERNİS Et Al. "Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches." NEURAL COMPUTING & APPLICATIONS , vol.31, no.9, pp.4983-4992, 2019

Sutcubasi, B. Et Al. (2019) . "Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches." NEURAL COMPUTING & APPLICATIONS , vol.31, no.9, pp.4983-4992.

@article{article, author={BERNİS SÜTÇÜBAŞI Et Al. }, title={Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches}, journal={NEURAL COMPUTING & APPLICATIONS}, year=2019, pages={4983-4992} }