Po-Chih Kuo
Orcid: 0000-0003-4020-3147
According to our database1,
Po-Chih Kuo
authored at least 28 papers
between 2014 and 2024.
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Bibliography
2024
Representing scents: An evaluation framework of scent-related experiences through associations between grounded and psychophysiological data.
Int. J. Hum. Comput. Stud., 2024
LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges.
CoRR, 2024
DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries.
CoRR, 2024
Dementia Assessment Using Mandarin Speech with an Attention-Based Speech Recognition Encoder.
Proceedings of the IEEE International Conference on Acoustics, 2024
Echocardiogram Vector Embeddings Via R3D Transformer for the Improvement of Ejection Fraction Estimation Instruments.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Improving Fairness in Chest X-Ray Interpretation Models Using Attention-Driven Masked Image Modeling.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study.
Int. J. Medical Informatics, October, 2023
Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural Networks.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study.
J. Digit. Imaging, 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies.
CoRR, 2022
2021
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
npj Digit. Medicine, 2021
A brain-sensing fragrance diffuser for mental state regulation using electroencephalography.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021
2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation.
CoRR, 2020
2019
NeuroImage, 2019
2018
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition.
Frontiers Neuroinformatics, 2018
Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
2017
Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-State Magneto-Encephalography Study Using Multiscale Entropy Analysis.
Entropy, 2017
Is immersion of any value? Whether, and to what extent, game immersion experience during serious gaming affects science learning.
Br. J. Educ. Technol., 2017
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017
Proceedings of the IEEE 6th Global Conference on Consumer Electronics, 2017
2016
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2016
2014
Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds.
NeuroImage, 2014
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2014