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Xi Tian
Xi Tian
Verified email at bath.ac.uk
Title
Cited by
Cited by
Year
Survey on deep learning for pulmonary medical imaging
J Ma, Y Song, X Tian, Y Hua, R Zhang, J Wu
Frontiers of medicine 14 (4), 450-469, 2020
982020
Deep residual nets model for staging liver fibrosis on plain CT images
Q Li, B Yu, X Tian, X Cui, R Zhang, Q Guo
International Journal of Computer Assisted Radiology and Surgery 15, 1399-1406, 2020
192020
A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas
Y Zhu, YL Liu, Y Feng, XY Yang, J Zhang, DD Chang, X Wu, X Tian, ...
Annals of Translational Medicine 8 (15), 2020
172020
Development of a deep learning model for classifying thymoma as Masaoka-Koga stage I or II via preoperative CT images
L Yang, W Cai, X Yang, H Zhu, Z Liu, X Wu, Y Lei, J Zou, B Zeng, X Tian, ...
Annals of Translational Medicine 8 (6), 2020
152020
3D DenseNet deep learning based preoperative computed tomography for detecting myasthenia gravis in patients with thymoma
Z Liu, Y Zhu, Y Yuan, L Yang, K Wang, M Wang, X Yang, X Wu, X Tian, ...
Frontiers in Oncology 11, 631964, 2021
102021
ShapeScaffolder: Structure-Aware 3D Shape Generation from Text
X Tian, YL Yang, Q Wu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Research on location-based personalized recommendation system
H Gao, X Tian, XL Fu
Applied Mechanics and Materials 490, 1493-1496, 2014
22014
Enhancing Person Synthesis in Complex Scenes via Intrinsic and Contextual Structure Modeling
X Tian, Y Yang, Q Wu
British Machine Vision Conference 2022, 2022
12022
Script-to-Storyboard: A New Contextual Retrieval Dataset and Benchmark
X Tian, Y Yang, Q Wu
Computational Visual Media, 2022
2022
A preliminary examination of the diagnostic value of deep learning in stage of thymoma
X Tian, R Zhang, C Xia, S Liang, L Yang, Y Zhu
European Congress of Radiology-ECR 2019, 2019
2019
Submission to the Kidney Tumor Segmentation Challenge 2019
P Yu, X Cui, X Tian, J Ma, R Zhang
University of Minnesota Libraries Publishing, 2019
2019
ShapeScaffolder: Structure-Aware 3D Shape Generation from Text (Supplementary Material)
X Tian, YL Yang, Q Wu
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