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The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients
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M. Beyazal Et Al. , "The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients," DIAGNOSTICS , vol.15, no.9, pp.1-21, 2025

Beyazal, M. Et Al. 2025. The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients. DIAGNOSTICS , vol.15, no.9 , 1-21.

Beyazal, M., Solak, M., Tören, M., Asan, B., Beyazal Çeliker, F., & Kaba, E., (2025). The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients. DIAGNOSTICS , vol.15, no.9, 1-21.

Beyazal, MEHMET Et Al. "The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients," DIAGNOSTICS , vol.15, no.9, 1-21, 2025

Beyazal, MEHMET Et Al. "The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients." DIAGNOSTICS , vol.15, no.9, pp.1-21, 2025

Beyazal, M. Et Al. (2025) . "The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients." DIAGNOSTICS , vol.15, no.9, pp.1-21.

@article{article, author={MEHMET BEYAZAL Et Al. }, title={The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Patients}, journal={DIAGNOSTICS}, year=2025, pages={1-21} }