Tianling Liu

According to our database, Tianling Liu authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Context-driven Missing-Modality Learning for Robust Medical Diagnosis with Image-Tabular Data.

Tianling Liu, Lequan Yu, Tong Han, Liang Wan

CoRR, May, 2026

CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data.

Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan

CoRR, March, 2026

2025

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis.

Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan

IEEE J. Biomed. Health Informatics, June, 2025

2024

Hardware Security Vulnerability Mining Techniques for Intelligent Connected Vehicles.

Dongqing Sun, Mingming Yu, Zhen Guo, Tianling Liu

Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

2023

Multi-modal deep-fusion network for meningioma presurgical grading with integrative imaging and clinical data.

Wennan Liu, Tianling Liu, Tong Han, Liang Wan

Vis. Comput., August, 2023

2022

EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images.

Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei

Expert Syst. Appl., 2022

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning.

Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Protein subcellular localization based on deep image features and criterion learning strategy.

Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei

Briefings Bioinform., July, 2021

2020

Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses.

Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei

Neurocomputing, 2020