Salita Angkurawaranon

An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury

Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying et al. · Applied Intelligence · 2021 · 73 citations · Full text

Medicine, Computer Science, Radiology +17

Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model

Papangkorn Inkeaw, Salita Angkurawaranon, Piyapong Khumrin et al. · Computers in Biology and Medicine · 2022 · 59 citations · Full text

Medicine, Neurological Surgery, Radiology +17

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al. · JAMA Network Open · 2025 · 56 citations · Full text

Computing, Health Informatics, Clinical Decision Support +12

Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages

Aymen Meddeb, Sophia Lüken, Felix Busch et al. · Radiology · 2024 · 34 citations

Humanities, Radiology, Translation Studies +17

A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage

Salita Angkurawaranon, Nonn Sanorsieng, Kittisak Unsrisong et al. · Scientific Reports · 2023 · 28 citations · Full text

Medicine, Neurosurgery, Radiology +17