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Yunan Wu
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2020 – today
- 2024
- [j7]Francisco M. Castro-Macías
, Pablo Morales-Álvarez
, Yunan Wu
, Rafael Molina
, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024) - [j6]Yunan Wu
, Bruno Miguel Machado Rocha
, Evangelos Kaimakamis
, Grigorios-Aris Cheimariotis
, Georgios Petmezas
, Evangelos Chatzis
, Vassilis Kilintzis
, Leandros Stefanopoulos
, Diogo Pessoa
, Alda Marques
, Paulo Carvalho
, Rui Pedro Paiva
, Serafeim Kotoulas
, Militsa Bitzani, Aggelos K. Katsaggelos
, Nicos Maglaveras
:
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) - [j5]Jose Pérez-Cano
, Yunan Wu
, Arne Schmidt
, Miguel López-Pérez
, Pablo Morales-Álvarez
, Rafael Molina
, Aggelos K. Katsaggelos
:
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) - [i10]Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - [i9]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) - 2023
- [c10]Hui Lin
, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos:
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. EUSIPCO 2023: 995-999 - [c9]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. 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
, Arne Schmidt
, Yunan Wu, Rafael Molina
, Aggelos K. Katsaggelos
:
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
, Marc Walton:
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data? CoRR abs/2207.12651 (2022) - 2021
- [c5]Yunan Wu, Arne Schmidt
, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos
:
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
, 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. 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
, Feng Yang, Ying Liu, Xuefan Zha, Shaofeng Yuan:
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 2024-06-19 21:51 CEST by the dblp team
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