Salita Angkurawaranon

According to our database, Salita Angkurawaranon authored at least 3 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Tyler Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Júdice de Mattos Farina, Eduardo Caminha Nunes, Michael Brassil, Megan McNamara, Johanna Ortiz, Jacob Peoples, Vinson L. Uytana, Anthony Kam, Venkata N. S. Dola, Daniel Murphy, David Vu, Dataset Contributor Group, Dataset Annotator Group, Competition Data Notebook Group, Jason F. Talbott

CoRR, June, 2025

2022

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

Papangkorn Inkeaw, Salita Angkurawaranon, Piyapong Khumrin, Nakarin Inmutto, Patrinee Traisathit, Jeerayut Chaijaruwanich, Chaisiri Angkurawaranon, Imjai Chitapanarux

Comput. Biol. Medicine, 2022

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, Ahmad Yahya Dawod, Salita Angkurawaranon, Chaisiri Angkurawaranon

Appl. Intell., 2022