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Kuo-Ching Liang

Showing results (11-20 of 22) with videos related to

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Eye & Contact Lens|June 27, 2018
Utilization of Facial Image Analysis Technology for Blink Detection: A Validation StudyMomoko Kitazawa, Michitaka Yoshimura, Kuo-Ching Liang, et al.
Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Speech Quality Feature Analysis for Classification of Depression and Dementia PatientsBrian Sumali, Yasue Mitsukura, Kuo-Ching Liang, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Psychiatry and Clinical Neurosciences|December 29, 2022
Language patterns in Japanese patients with Alzheimer disease: A machine learning approachYuki Momota, Kuo-Ching Liang, Toshiro Horigome, et al.
The Journal of ECT|March 3, 2020
Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning ApproachAkihiro Takamiya, Kuo-Ching Liang, Shiro Nishikata, et al.
Journal of Psychiatric Research|August 17, 2019
Thalamic volume, resting-state activity, and their association with the efficacy of electroconvulsive therapyAkihiro Takamiya, Taishiro Kishimoto, Kuo-Ching Liang, et al.
Heliyon|February 15, 2020
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learningYuuki Tazawa, Kuo-Ching Liang, Michitaka Yoshimura, et al.
Journal of Affective Disorders|April 24, 2018
The effect of fecal microbiota transplantation on psychiatric symptoms among patients with irritable bowel syndrome, functional diarrhea and functional constipation: An open-label observational studyShunya Kurokawa, Taishiro Kishimoto, Shinta Mizuno, et al.
Frontiers in Psychiatry|December 19, 2022
Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodologyTaishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Eye & Contact Lens|June 27, 2018
Utilization of Facial Image Analysis Technology for Blink Detection: A Validation StudyMomoko Kitazawa, Michitaka Yoshimura, Kuo-Ching Liang, et al.
Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Speech Quality Feature Analysis for Classification of Depression and Dementia PatientsBrian Sumali, Yasue Mitsukura, Kuo-Ching Liang, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Psychiatry and Clinical Neurosciences|December 29, 2022
Language patterns in Japanese patients with Alzheimer disease: A machine learning approachYuki Momota, Kuo-Ching Liang, Toshiro Horigome, et al.
The Journal of ECT|March 3, 2020
Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning ApproachAkihiro Takamiya, Kuo-Ching Liang, Shiro Nishikata, et al.
Journal of Psychiatric Research|August 17, 2019
Thalamic volume, resting-state activity, and their association with the efficacy of electroconvulsive therapyAkihiro Takamiya, Taishiro Kishimoto, Kuo-Ching Liang, et al.
Heliyon|February 15, 2020
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learningYuuki Tazawa, Kuo-Ching Liang, Michitaka Yoshimura, et al.
Journal of Affective Disorders|April 24, 2018
The effect of fecal microbiota transplantation on psychiatric symptoms among patients with irritable bowel syndrome, functional diarrhea and functional constipation: An open-label observational studyShunya Kurokawa, Taishiro Kishimoto, Shinta Mizuno, et al.
Frontiers in Psychiatry|December 19, 2022
Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodologyTaishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, et al.
Pageof 3