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Yunan Wu
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2020 – today
- 2024
- [j8]Francisco M. Castro-Macías
, Pablo Morales-Álvarez
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024) - [j7]Yunan Wu
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Syst. Appl. 235: 121089 (2024) - [j6]Jose Pérez-Cano
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. 240: 122296 (2024) - [j5]Yunan Wu, Haitao Zhang:
Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and design. Intell. Decis. Technol. 18(3): 2213-2225 (2024) - [c11]Yi Li, Yunan Wu, Aggelos K. Katsaggelos:
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. CVPR Workshops 2024: 6837-6846 - [i11]Francisco M. Castro-Macías
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - [i10]Yi Li, Yunan Wu, Aggelos K. Katsaggelos:
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. CoRR abs/2404.15552 (2024) - [i9]Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. CoRR abs/2410.03276 (2024) - 2023
- [c10]Hui Lin
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. EUSIPCO 2023: 995-999 - [c9]Yunan Wu, Francisco M. Castro-Macías
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) 2023: 327-337 - [c8]Yunan Wu, Roxana Valdez, Clifton Forlines:
Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables. PerCom Workshops 2023: 665-670 - [i8]Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. CoRR abs/2301.08798 (2023) - [i7]Boxiang Wang, Yunan Wu, Chenglong Ye:
The ART of Transfer Learning: An Adaptive and Robust Pipeline. CoRR abs/2305.00520 (2023) - [i6]Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. CoRR abs/2307.09457 (2023) - 2022
- [j4]Yunan Wu, Jing Wu, Yuting Dou, Nicholas Rubert, Yi Wang, Jie Deng:
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. 72(Part): 103319 (2022) - [j3]Miguel López-Pérez
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. 219: 106783 (2022) - [c7]Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. ICASSP 2022: 3318-3322 - [c6]Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. ISBI 2022: 1-5 - [i5]Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos:
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes. CoRR abs/2201.09120 (2022) - [i4]Bingjie Xu, Yunan Wu, Pengxiao Hao, Marc Vermeulen, Alicia McGeachy, Kate Smith, Katherine Eremin, Georgina Rayner, Giovanni Verri, Florian Willomitzer, Matthias Alfeld, Jack Tumblin, Aggelos K. Katsaggelos
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data? CoRR abs/2207.12651 (2022) - 2021
- [c5]Yunan Wu, Arne Schmidt
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. MICCAI (2) 2021: 582-591 - 2020
- [c4]Yunan Wu:
Go-selfies: A Fast Selfies Background Removal Method Using ResU-Net Deep Learning. EUSIPCO 2020: 615-619 - [c3]Emanuel A. Azcona
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. ShapeMI@MICCAI 2020: 95-107 - [i3]Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos:
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. CoRR abs/2008.06151 (2020)
2010 – 2019
- 2019
- [i2]Yunan Wu, Lan Wang:
A Survey of Tuning Parameter Selection for High-dimensional Regression. CoRR abs/1908.03669 (2019) - 2018
- [c2]Yunan Wu, Lori L. Holt:
Phonetic category activation drives dimension-based adaptive tuning in speech perception. CogSci 2018 - [c1]Yunan Wu, Lori L. Holt, Ran Liu, Sung-joo Lim:
Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech. CogSci 2018 - [i1]Yunan Wu
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification. CoRR abs/1810.07088 (2018) - 2012
- [j2]Yunan Wu, Yuchen Peng, Long Peng, Ling Xu:
Super Efficiency of Multicriterion Network Equilibrium Model and Vector Variational Inequality. J. Optim. Theory Appl. 153(2): 485-496 (2012) - 2011
- [j1]Yunan Wu, T. C. E. Cheng
An Erratum on the Multiproduct Network Equilibrium Model. Oper. Res. 59(5): 1309-1310 (2011)
Coauthor Index
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last updated on 2024-11-13 23:50 CET by the dblp team
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