Yunan Wu

33 papers A* 1B 2Misc 1Journal 21Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
Pattern Recognit.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2025 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters.
Expert Syst. Appl.
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
2024 J jnl
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.
Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and design.
Intell. Decis. Technol.
Yunan Wu, Haitao Zhang
2024 — conf
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches.
CVPR Workshops
Yi Li, Yunan Wu, Aggelos K. Katsaggelos
2024 J jnl
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches.
CoRR
Yi Li, Yunan Wu, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
Artif. Intell.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 A* conf
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
NeurIPS
Francisco M. Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2023 — conf
Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables.
PerCom Workshops
Yunan Wu, Roxana Valdez, Clifton Forlines
2023 J jnl
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels.
CoRR
Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
2023 — conf
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
MICCAI (5)
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
CoRR
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
The ART of Transfer Learning: An Adaptive and Robust Pipeline.
CoRR
Boxiang Wang, Yunan Wu, Chenglong Ye
2023 — conf
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI.
EUSIPCO
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
2022 J jnl
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.
Yunan Wu, Jing Wu, Yuting Dou, Nicholas Rubert, Yi Wang, Jie Deng
2022 J jnl
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data?
CoRR
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
2022 J jnl
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes.
CoRR
Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
2022 Misc conf
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes.
ICASSP
Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos
2022 — conf
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy.
ISBI
Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos
2021 — conf
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection.
MICCAI (2)
Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos
2020 — conf
Go-selfies: A Fast Selfies Background Removal Method Using ResU-Net Deep Learning.
EUSIPCO
Yunan Wu
2020 — conf
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.
ShapeMI@MICCAI
Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos
2020 J jnl
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes.
CoRR
Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos
2019 J jnl
A Survey of Tuning Parameter Selection for High-dimensional Regression.
CoRR
Yunan Wu, Lan Wang
2018 J jnl
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification.
CoRR
Yunan Wu, Feng Yang, Ying Liu, Xuefan Zha, Shaofeng Yuan
2018 B conf
Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech.
CogSci
Yunan Wu, Lori L. Holt, Ran Liu, Sung-Joo Lim
2018 B conf
Phonetic category activation drives dimension-based adaptive tuning in speech perception.
CogSci
Yunan Wu, Lori L. Holt
2012 J jnl
Super Efficiency of Multicriterion Network Equilibrium Model and Vector Variational Inequality.
J. Optim. Theory Appl.
Yunan Wu, Yuchen Peng, Long Peng, Ling Xu
2011 J jnl
An Erratum on the Multiproduct Network Equilibrium Model.
Oper. Res.
Yunan Wu, T. C. E. Cheng