User profiles for author:"T. Saensuksopa"
T SaensuksopaVerified email at google.com Cited by 43 |
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Background Fetal ultrasound is an important component of antenatal care, but shortage of
adequately trained healthcare workers has limited its adoption in low-to-middle-income …
adequately trained healthcare workers has limited its adoption in low-to-middle-income …
Let's be honest: A controlled field study of ethical behavior in the presence of a robot
J Forlizzi, T Saensuksopa, N Salaets… - 2016 25th IEEE …, 2016 - ieeexplore.ieee.org
Human-robot collaboration will increasingly take place in human social settings, including
contexts where ethical and honest behavior is paramount. How might these robots affect …
contexts where ethical and honest behavior is paramount. How might these robots affect …
AI system for fetal ultrasound in low-resource settings
Despite considerable progress in maternal healthcare, maternal and perinatal deaths
remain high in low-to-middle income countries. Fetal ultrasound is an important component …
remain high in low-to-middle income countries. Fetal ultrasound is an important component …
Assistance from a deep learning system improves diabetic retinopathy assessment in optometrists
Purpose: Machine learning algorithms promise to improve diagnosis of retinal disease,
through automated screening and/or augmenting clinicians. Previous research has …
through automated screening and/or augmenting clinicians. Previous research has …
[CITATION][C] Decoding sensors: Creating guidelines for designing connected devices
S Kazi, O Kohanteb, T Saensuksopa, O Tong, H Yang - 2015 - Summer
[CITATION][C] signifiers. io guidelines for designing connected devices, 2015
O Kohanteb, O Tong, H Yang, T Saensuksopa, S Kazi - URL http://signifiers. io …, 2018
[CITATION][C] Guidelines for designing connected devices
O Kohanteb, O Tong, H Yang, T Saensuksopa… - 2018 - Technical report, Carnegie Mellon …
[CITATION][C] When walls can talk: investigating privacy implications of sensors in the home
O Kohanteb, O Tong, H Yang, T Saensuksopa… - 2015 - Carnegie Mellon University, Spring
[CITATION][C] Pathways to CO2 Reduction in US Transportation by Year 2050
M Annibal, YY Cho, HR Li, T Saensuksopa - 2008