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Tianxu Lv
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Journal Articles
- 2025
- [j10]Jiansong Fan, Qi Sun
, Yicheng Di
, Jiayu Bao, Tianxu Lv, Yuan Liu, Xiaoyun Hu, Lihua Li, Xiaobin Cui, Xiang Pan
:
DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation. Medical Image Anal. 103: 103563 (2025) - 2024
- [j9]Tianxu Lv, Xiaoyan Hong
, Yuan Liu, Kai Miao, Heng Sun, Lihua Li, Chuxia Deng, Chunjuan Jiang, Xiang Pan
:
AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer. Comput. Methods Programs Biomed. 243: 107857 (2024) - [j8]Jiansong Fan
, Tianxu Lv, Shunyuan Jia
, Yuan Liu, Ruihong Deng, Zexin Chen, Yu Zhu, Lihua Li, Chunjuan Jiang, Jianming Ni, Xiang Pan
:
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation. Expert Syst. Appl. 250: 123888 (2024) - [j7]Junyi Lu
, Yuan Liu, Tianxu Lv, Lei Meng:
An Emotional-Aware Mobile Terminal Accessibility-Assisted Recommendation System for the Elderly Based on Haptic Recognition. Int. J. Hum. Comput. Interact. 40(22): 7593-7609 (2024) - [j6]Xiaoqing Lian, Jie Zhu
, Tianxu Lv, Xiaoyan Hong, Longzhen Ding, Wei Chu
, Jianming Ni
, Xiang Pan
:
Advancing the Boundary of Pre-Trained Models for Drug Discovery: Interpretable Fine-Tuning Empowered by Molecular Physicochemical Properties. IEEE J. Biomed. Health Informatics 28(12): 7633-7646 (2024) - [j5]Jiansong Fan
, Tianxu Lv, Pei Wang
, Xiaoyan Hong, Yuan Liu, Chunjuan Jiang, Jianming Ni
, Lihua Li
, Xiang Pan
:
DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis. IEEE Trans. Medical Imaging 43(12): 4393-4403 (2024) - 2022
- [j4]Tianxu Lv, Youqing Wu, Yihang Wang, Yuan Liu, Lihua Li, Chuxia Deng, Xiang Pan
:
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI. Medical Image Anal. 82: 102572 (2022) - [j3]Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li
, Xiang Pan
:
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray. IEEE J. Biomed. Health Informatics 26(12): 5870-5882 (2022) - 2021
- [j2]Tianxu Lv, Xiang Pan
, Yazhou Zhu
, Lihua Li:
Unsupervised medical images denoising via graph attention dual adversarial network. Appl. Intell. 51(6): 4094-4105 (2021) - [j1]Yazhou Zhu
, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li:
DESN: An unsupervised MR image denoising network with deep image prior. Theor. Comput. Sci. 880: 97-110 (2021)
Conference and Workshop Papers
- 2025
- [c7]Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan:
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity. AAAI 2025: 586-594 - 2024
- [c6]Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiang Pan:
Interpretable Multi-domain Awareness Scheme for Drug-target Interaction Prediction. BIBM 2024: 701-706 - [c5]Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li:
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI. MICCAI (9) 2024: 318-327 - [c4]Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan:
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images. MICCAI (8) 2024: 500-509 - 2023
- [c3]Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan:
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. MICCAI (4) 2023: 100-109 - 2021
- [c2]Tianxu Lv, Xiang Pan:
Temporal-Spatial Graph Attention Networks for DCE-MRI Breast Tumor Segmentation. BMVC 2021: 347 - 2020
- [c1]Tianxu Lv, Xiang Pan, Lihua Li:
DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing. BIBM 2020: 681-686
Informal and Other Publications
- 2025
- [i1]Xiaoqing Lian, Jie Zhu, Tianxu Lv, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Lihua Li, Xiangxiang Zeng, Xiang Pan:
Leveraging Induced Transferable Binding Principles for Associative Prediction of Novel Drug-Target Interactions. CoRR abs/2501.16391 (2025)
Coauthor Index

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