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Yujia Xu
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Year
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
G Jia, HK Lam, Y Xu
Computers in biology and medicine 134, 104425, 2021
1192021
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
Y Xu, HK Lam, G Jia
Neurocomputing 443, 96-105, 2021
672021
Classification of electromyographic hand gesture signals using modified fuzzy C-means clustering and two-step machine learning approach
G Jia, HK Lam, S Ma, Z Yang, Y Xu, B Xiao
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (6 …, 2020
512020
Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation
Y Xu, HK Lam, G Jia, J Jiang, J Liao, X Bao
Computers in Biology and Medicine 152, 106417, 2023
162023
The effect of signal duration on the classification of heart sounds: A deep learning approach
X Bao, Y Xu, EN Kamavuako
sensors 22 (6), 2261, 2022
152022
Hierarchical multi-scale convolutional network for murmurs detection on pcg signals
Y Xu, X Bao, HK Lam, EN Kamavuako
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
122022
Time-frequency distributions of heart sound signals: A comparative study using convolutional neural networks
X Bao, Y Xu, HK Lam, M Trabelsi, I Chihi, L Sidhom, EN Kamavuako
Biomedical Engineering Advances 5, 100093, 2023
102023
A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques
J Liao, HK Lam, G Jia, S Gulati, J Bernth, D Poliyivets, Y Xu, H Liu, ...
Neurocomputing 445, 149-166, 2021
62021
Paroxysmal Atrial Fibrillation Detection by Combined Recurrent Neural Network and Feature Extraction on ECG Signals.
X Bao, F Hu, Y Xu, M Trabelsi, EN Kamavuako
BIOSIGNALS, 85-90, 2022
52022
Learning group-wise spatial attention and label dependencies for multi-task thoracic disease classification
Y Xu, HK Lam, X Bao, Y Wang
Neurocomputing 573, 127228, 2024
2024
Multi-task learning framework to predict the status of central venous catheter based on radiographs
Y Wang, HK Lam, Y Xu, F Yin, K Qian
Artificial Intelligence in Medicine, 2023
2023
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Articles 1–11