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Yongsheng Pan
Yongsheng Pan
Verified email at mail.nwpu.edu.cn
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Cited by
Cited by
Year
Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis
Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1872018
Attention-guided hybrid network for dementia diagnosis with structural MR images
C Lian, M Liu, Y Pan, D Shen
IEEE transactions on cybernetics 52 (4), 1992-2003, 2020
772020
Spatially-constrained fisher representation for brain disease identification with incomplete multi-modal neuroimages
Y Pan, M Liu, C Lian, Y Xia, D Shen
IEEE transactions on medical imaging 39 (9), 2965-2975, 2020
632020
Disease-image-specific learning for diagnosis-oriented neuroimage synthesis with incomplete multi-modality data
Y Pan, M Liu, Y Xia, D Shen
IEEE transactions on pattern analysis and machine intelligence 44 (10), 6839 …, 2021
592021
Automated identification of dementia using medical imaging: a survey from a pattern classification perspective
C Zheng, Y Xia, Y Pan, J Chen
Brain informatics 3, 17-27, 2016
542016
Disease-image specific generative adversarial network for brain disease diagnosis with incomplete multi-modal neuroimages
Y Pan, M Liu, C Lian, Y Xia, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
472019
Cell image segmentation using bacterial foraging optimization
Y Pan, Y Xia, T Zhou, M Fulham
Applied Soft Computing 58, 770-782, 2017
382017
Neighborhood-correction algorithm for classification of normal and malignant cells
Y Pan, M Liu, Y Xia, D Shen
ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging: Select …, 2019
292019
Smile: Sparse-attention based multiple instance contrastive learning for glioma sub-type classification using pathological images
M Lu, Y Pan, D Nie, F Liu, F Shi, Y Xia, D Shen
MICCAI Workshop on Computational Pathology, 159-169, 2021
272021
Foreground fisher vector: Encoding class-relevant foreground to improve image classification
Y Pan, Y Xia, D Shen
IEEE Transactions on Image Processing 28 (10), 4716-4729, 2019
232019
A novel unified conditional score-based generative framework for multi-modal medical image completion
X Meng, Y Gu, Y Pan, N Wang, P Xue, M Lu, X He, Y Zhan, D Shen
arXiv preprint arXiv:2207.03430, 2022
152022
Unsupervised conditional consensus adversarial network for brain disease identification with structural MRI
J Zhang, M Liu, Y Pan, D Shen
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
142019
Bacterial foraging based edge detection for cell image segmentation
Y Pan, T Zhou, Y Xia
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
142015
Solving TSP by dismantling cross paths
Y Pan, Y Xia
2014 International Conference on Orange Technologies, 121-124, 2014
132014
Joint neuroimage synthesis and representation learning for conversion prediction of subjective cognitive decline
Y Liu, Y Pan, W Yang, Z Ning, L Yue, M Liu, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
122020
Consistent segmentation of longitudinal brain MR images with spatio-temporal constrained networks
J Wei, F Shi, Z Cui, Y Pan, Y Xia, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
82021
Collaborative image synthesis and disease diagnosis for classification of neurodegenerative disorders with incomplete multi-modal neuroimages
Y Pan, Y Chen, D Shen, Y Xia
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
82021
Locality constrained encoding of frequency and spatial information for image classification
Y Pan, Y Xia, Y Song, W Cai
Multimedia Tools and Applications 77, 24891-24907, 2018
82018
Reconstruction of standard-dose PET from low-dose PET via dual-frequency supervision and global aggregation module
C Jiang, Y Pan, Z Cui, D Shen
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
72022
Predicting symptoms from multiphasic MRI via multi-instance attention learning for hepatocellular carcinoma grading
Z Qiu, Y Pan, J Wei, D Wu, Y Xia, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
72021
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