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ORCIDTianling Liu
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2020 – today
- 2024
[i3]Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan:
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. CoRR abs/2407.04916 (2024)- 2023
- [j4]Wennan Liu, Tianling Liu, Tong Han, Liang Wan
:
Multi-modal deep-fusion network for meningioma presurgical grading with integrative imaging and clinical data. Vis. Comput. 39(8): 3561-3571 (2023) - 2022
- [j3]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. Expert Syst. Appl. 206: 117643 (2022) - [c1]Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. MICCAI (3) 2022: 355-365 - [i2]Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. CoRR abs/2209.01517 (2022) - [i1]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. CoRR abs/2210.05258 (2022) - 2021
- [j2]Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei:
Protein subcellular localization based on deep image features and criterion learning strategy. Briefings Bioinform. 22(4) (2021) - 2020
- [j1]Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei:
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing 385: 300-309 (2020)
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