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Akara Supratak

Showing results (1-10 of 12) with videos related to

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Artificial Intelligence in Medicine|April 26, 2023
Quantifying the impact of data characteristics on the transferability of sleep stage scoring modelsAkara Supratak, Peter Haddawy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEGAkara Supratak, Yike Guo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Feature extraction with stacked autoencoders for epileptic seizure detectionAkara Supratak, Ling Li, Yike Guo
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 6, 2017
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEGAkara Supratak, Hao Dong, Chao Wu, et al.
Plos One|August 6, 2025
HU to RGB transformation with automatic windows selection for intracranial hemorrhage classification using ncCTDittapong Songsaeng, Akara Supratak, Pantid Chantangphol, et al.
Frontiers in Neuroscience|March 30, 2018
Using Support Vector Machine on EEG for Advertisement Impact AssessmentZhen Wei, Chao Wu, Xiaoyi Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 3, 2017
Mixed Neural Network Approach for Temporal Sleep Stage ClassificationHao Dong, Akara Supratak, Wei Pan, et al.
Frontiers in Neurology|July 31, 2018
Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple SclerosisAkara Supratak, Gourab Datta, Arie R Gafson, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
The Diagnostic Accuracy of Artificial Intelligence in Radiological Markers of Normal-Pressure Hydrocephalus (NPH) on Non-Contrast CT Scans of the BrainDittapong Songsaeng, Poonsuta Nava-Apisak, Jittsupa Wongsripuemtet, et al.
Computers in Biology and Medicine|February 6, 2025
Dynamic blinking feature extraction for automated facial nerve paralysis detectionAkara Supratak, Watsaporn Pornwatanacharoen, Varit Rungbanapan, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|April 26, 2023
Quantifying the impact of data characteristics on the transferability of sleep stage scoring modelsAkara Supratak, Peter Haddawy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEGAkara Supratak, Yike Guo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Feature extraction with stacked autoencoders for epileptic seizure detectionAkara Supratak, Ling Li, Yike Guo
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 6, 2017
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEGAkara Supratak, Hao Dong, Chao Wu, et al.
Plos One|August 6, 2025
HU to RGB transformation with automatic windows selection for intracranial hemorrhage classification using ncCTDittapong Songsaeng, Akara Supratak, Pantid Chantangphol, et al.
Frontiers in Neuroscience|March 30, 2018
Using Support Vector Machine on EEG for Advertisement Impact AssessmentZhen Wei, Chao Wu, Xiaoyi Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 3, 2017
Mixed Neural Network Approach for Temporal Sleep Stage ClassificationHao Dong, Akara Supratak, Wei Pan, et al.
Frontiers in Neurology|July 31, 2018
Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple SclerosisAkara Supratak, Gourab Datta, Arie R Gafson, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
The Diagnostic Accuracy of Artificial Intelligence in Radiological Markers of Normal-Pressure Hydrocephalus (NPH) on Non-Contrast CT Scans of the BrainDittapong Songsaeng, Poonsuta Nava-Apisak, Jittsupa Wongsripuemtet, et al.
Computers in Biology and Medicine|February 6, 2025
Dynamic blinking feature extraction for automated facial nerve paralysis detectionAkara Supratak, Watsaporn Pornwatanacharoen, Varit Rungbanapan, et al.
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