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Patiparn Kummanee
Observed name:
P. Kummanee
Institution:
Chulabhorn Royal Academy
Observed institution:
Chulabhorn Royal Academy
OpenAlex ID:
A5036631019
Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice
2025
·
Nanthida Phattraprayoon
, Teerapat Ungtrakul
, et al.
·
Scientific Reports
·
10
Predicting Three-Dimensional Dose Distribution of Prostate Volumetric Modulated Arc Therapy Using Deep Learning
2021
·
Patiparn Kummanee
, Wares Chancharoen
, et al.
·
Life
·
7
PDF
Predictive quality assurance for ring gantry linear accelerator using deep learning and statistical process control
2023
·
Chunlajit Petchuchart
, Patiparn Kummanee
, et al.
·
International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
·
2
Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC
2026
·
Thitaporn Chaipanya
, Kampheang Nimjaroen
, et al.
·
Scientific Reports
PDF
AI-assisted diagnosis on 18F-FDG PET/CT for improved differentiation between axillary pCR versus axillary non-pCR
2026
·
Patiparn Kummanee
, van Nijnatten, Thiemo
, et al.
3877 A Deep Learning-Based Predictive Model: Can AI Accurately Predict VMAT Dose Distributions in Lung Cancer?
2025
·
Thitaporn Chaipanya
, Kampheang Nimjaroen
, et al.
·
Radiotherapy and Oncology
Comparative Analysis of Stand-alone Artificial Intelligence for 3D Automated Breast Ultrasound System (ABUS) and Standard Clinical Practice with Radiologists in Breast Cancer Screening
2023
·
Patiparn Kummanee
, Sarun Lertsatittanakron
, et al.
·
Biomedical Engineering International Conference
P250 Deep learning-based breast lesion localization and segmentation in 3d automated breast ultrasound (3d abus) images
2023
·
S. Lertsatittanakron
, P. Thongchai
, et al.
·
The Breast
PD-0736 Evaluation of 3D dose distribution prediction for prostate VMAT based on deep learning
2022
·
T. Fuangrod
, P. Kummanee
·
Radiotherapy and Oncology
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Works count:
9
Citation count:
19
H-index:
2
I10-index:
1
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