Yunan Wu
Orcid: 0000-0001-6980-9746
According to our database1,
Yunan Wu
authored at least 25 papers
between 2011 and 2024.
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Bibliography
2024
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters.
Expert Syst. Appl., January, 2024
Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and design.
Intell. Decis. Technol., 2024
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection.
Expert Syst. Appl., 2024
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
CoRR, 2024
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
Artif. Intell., 2024
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels.
CoRR, 2023
Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
CoRR, 2022
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
Comput. Methods Programs Biomed., 2022
A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI.
Biomed. Signal Process. Control., 2022
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
2018
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification.
CoRR, 2018
Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Phonetic category activation drives dimension-based adaptive tuning in speech perception.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2012
Super Efficiency of Multicriterion Network Equilibrium Model and Vector Variational Inequality.
J. Optim. Theory Appl., 2012
2011