Pengcheng Xi
Orcid: 0000-0003-3236-5234
According to our database1,
Pengcheng Xi
authored at least 54 papers
between 2004 and 2023.
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Bibliography
2023
Sensors, October, 2023
Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan.
IEEE J. Biomed. Health Informatics, April, 2023
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.
Sensors, March, 2023
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.
CoRR, 2023
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.
CoRR, 2023
CoRR, 2023
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images.
CoRR, 2023
Proceedings of the IEEE Sensors Applications Symposium, 2023
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography.
CoRR, 2022
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos.
CoRR, 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation.
CoRR, 2022
Proceedings of the IEEE Sensors Applications Symposium, 2022
Proceedings of the IEEE Sensors Applications Symposium, 2022
Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Scientometrics, 2021
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications.
CoRR, 2021
CoRR, 2021
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.
CoRR, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
2020
An integrated approach for medical abnormality detection using deep patch convolutional neural networks.
Vis. Comput., 2020
Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat.
IEEE Access, 2020
A comparison of ECG and EEG metrics for in-flight monitoring of helicopter pilot workload.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
2018
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
2017
Proceedings of the 14th Conference on Computer and Robot Vision, 2017
2014
Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014
2013
Three-dimensional human shape inference from silhouettes: reconstruction and validation.
Mach. Vis. Appl., 2013
2012
Mach. Vis. Appl., 2012
Comput. Graph., 2012
2011
Proceedings of the International Conference on 3D Imaging, 2011
2009
Vis. Comput., 2009
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
2008
Extrapolated impulse response filter using coefficient-autocorrelation-matrix decomposition.
Signal Process., 2008
2007
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007
Proceedings of the Graphics Interface 2007 Conference, May 28-30, 2007, Montreal, Canada, 2007
2006
Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models.
Proceedings of the Advances in Computer Graphics, 2006
Frequency-Response Masking Approach for Design of Intermediate Frequency Filters in CDMA and Wideband GSM Modules.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006
Optimized Design of Extrapolated Impulse Response FIR Filters with Raised-Cosine Windows.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006
2004
De-noising and Recovering Images Based on Kernel PCA Theory.
Proceedings of the 12-th International Conference in Central Europe on Computer Graphics, 2004