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 · 69 citations · Full text

Traumatic Brain Injury, Convolutional Neural Network, Image Analysis +14

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 · 56 citations · Full text

Traumatic Brain Injury, Engineering, Machine Learning +21

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 · 28 citations

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

Felix Busch, Lena Hoffmann, Lina Xu et al. · JAMA Network Open · 2025 · 24 citations · Full text

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 · 22 citations · Full text