Yunan Wu

Orcid: 0000-0001-6980-9746

According to our database1, Yunan Wu authored at least 21 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

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

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
CoRR, 2024

2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline.
CoRR, 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

Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
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

Go-selfies: A Fast Selfies Background Removal Method Using ResU-Net Deep Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Survey of Tuning Parameter Selection for High-dimensional Regression.
CoRR, 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
An Erratum on the Multiproduct Network Equilibrium Model.
Oper. Res., 2011


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