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Papangkorn Inkeaw

Showing results (1-10 of 9) with videos related to

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BMC Medical Imaging|June 12, 2026
Development and validation of a deep learning model for automatic detection of depressed skull fractures from CT scansSalita Angkurawaranon, Sarawadee Chatchavan, Teeraporn Iangkoonchorn, et al.
European Radiology Experimental|May 20, 2026
Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomicsPapangkorn Inkeaw, Dumnoensun Pruksakorn, Salita Angkurawaranon, et al.
Computers in Biology and Medicine|April 23, 2022
Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning modelPapangkorn Inkeaw, Salita Angkurawaranon, Piyapong Khumrin, et al.
Nature and Science of Sleep|September 22, 2022
Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot StudyPapangkorn Inkeaw, Pimwarat Srikummoon, Jeerayut Chaijaruwanich, et al.
Plos One|October 3, 2023
Comparative analysis between different volumetric methods on measuring intracranial hemorrhage incorporating roundness indexSupanut Chaidee, Papangkorn Inkeaw, Thampaphon Makee, et al.
Scientific Reports|June 20, 2023
A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhageSalita Angkurawaranon, Nonn Sanorsieng, Kittisak Unsrisong, et al.
Neuroradiology|October 5, 2024
Machine learning based classification of spontaneous intracranial hemorrhages using radiomics featuresPhattanun Thabarsa, Papangkorn Inkeaw, Chakri Madla, et al.
Medical & Biological Engineering & Computing|August 15, 2020
Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on multi-phase CT scansDonlapark Ponnoprat, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, et al.
JMIR Formative Research|December 11, 2025
Radiomics-Based AI Model to Assist Clinicians in Intracranial Hemorrhage Diagnosis: External Validation StudySalita Angkurawaranon, Natipat Jitmahawong, Kittisak Unsrisong, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Medical Imaging|June 12, 2026
Development and validation of a deep learning model for automatic detection of depressed skull fractures from CT scansSalita Angkurawaranon, Sarawadee Chatchavan, Teeraporn Iangkoonchorn, et al.
European Radiology Experimental|May 20, 2026
Predicting resistance to neoadjuvant chemotherapy in osteosarcoma using machine learning with clinical data and T2-weighted MRI radiomicsPapangkorn Inkeaw, Dumnoensun Pruksakorn, Salita Angkurawaranon, et al.
Computers in Biology and Medicine|April 23, 2022
Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning modelPapangkorn Inkeaw, Salita Angkurawaranon, Piyapong Khumrin, et al.
Nature and Science of Sleep|September 22, 2022
Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot StudyPapangkorn Inkeaw, Pimwarat Srikummoon, Jeerayut Chaijaruwanich, et al.
Plos One|October 3, 2023
Comparative analysis between different volumetric methods on measuring intracranial hemorrhage incorporating roundness indexSupanut Chaidee, Papangkorn Inkeaw, Thampaphon Makee, et al.
Scientific Reports|June 20, 2023
A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhageSalita Angkurawaranon, Nonn Sanorsieng, Kittisak Unsrisong, et al.
Neuroradiology|October 5, 2024
Machine learning based classification of spontaneous intracranial hemorrhages using radiomics featuresPhattanun Thabarsa, Papangkorn Inkeaw, Chakri Madla, et al.
Medical & Biological Engineering & Computing|August 15, 2020
Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on multi-phase CT scansDonlapark Ponnoprat, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, et al.
JMIR Formative Research|December 11, 2025
Radiomics-Based AI Model to Assist Clinicians in Intracranial Hemorrhage Diagnosis: External Validation StudySalita Angkurawaranon, Natipat Jitmahawong, Kittisak Unsrisong, et al.
Pageof 1