Tianxu Lv

According to our database, Tianxu Lv authored at least 20 papers between 2020 and 2025.

Collaborative distances:

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

2025

Spatiotemporal context feedback bidirectional attention network for breast cancer segmentation based on DCE-MRI.

Xiang Pan, Tianxu Lv, Yuan Liu, Ningjun Li, Lihua Li, Yan Zhang, Jianming Ni, Chunjuan Jiang

Neural Comput. Appl., September, 2025

Leveraging Induced Transferable Binding Principles for Associative Prediction of Novel Drug-Target Interactions.

Xiaoqing Lian, Jie Zhu, Tianxu Lv, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Lihua Li, Xiangxiang Zeng, Xiang Pan

CoRR, January, 2025

DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.

Jiansong Fan, Qi Sun, Yicheng Di, Jiayu Bao, Tianxu Lv, Yuan Liu, Xiaoyun Hu, Lihua Li, Xiaobin Cui, Xiang Pan

Medical Image Anal., 2025

Semantic consistency-guided patch-wise relation graph reasoning scheme for lung cancer organoid segmentation in brightfield microscopy.

Tianxu Lv, Jiansong Fan, Zexin Chen, Yuan Liu, Jianming Ni, Wei Chu, Xiang Pan

Comput. Methods Programs Biomed., 2025

M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity.

Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis.

Jiansong Fan, Tianxu Lv, Pei Wang, Xiaoyan Hong, Yuan Liu, Chunjuan Jiang, Jianming Ni, Lihua Li, Xiang Pan

IEEE Trans. Medical Imaging, December, 2024

Advancing the Boundary of Pre-Trained Models for Drug Discovery: Interpretable Fine-Tuning Empowered by Molecular Physicochemical Properties.

Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiaoyan Hong, Longzhen Ding, Wei Chu, Jianming Ni, Xiang Pan

IEEE J. Biomed. Health Informatics, December, 2024

An Emotional-Aware Mobile Terminal Accessibility-Assisted Recommendation System for the Elderly Based on Haptic Recognition.

Junyi Lu, Yuan Liu, Tianxu Lv, Lei Meng

Int. J. Hum. Comput. Interact., November, 2024

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer.

Tianxu Lv, Xiaoyan Hong, Yuan Liu, Kai Miao, Heng Sun, Lihua Li, Chuxia Deng, Chunjuan Jiang, Xiang Pan

Comput. Methods Programs Biomed., January, 2024

A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation.

Jiansong Fan, Tianxu Lv, Shunyuan Jia, Yuan Liu, Ruihong Deng, Zexin Chen, Yu Zhu, Lihua Li, Chunjuan Jiang, Jianming Ni, Xiang Pan

Expert Syst. Appl., 2024

Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI.

Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images.

Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Interpretable Multi-domain Awareness Scheme for Drug-target Interaction Prediction.

Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiang Pan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI.

Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.

Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li, Xiang Pan

IEEE J. Biomed. Health Informatics, 2022

A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI.

Tianxu Lv, Youqing Wu, Yihang Wang, Yuan Liu, Lihua Li, Chuxia Deng, Xiang Pan

Medical Image Anal., 2022

2021

DESN: An unsupervised MR image denoising network with deep image prior.

Yazhou Zhu, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li

Theor. Comput. Sci., 2021

Unsupervised medical images denoising via graph attention dual adversarial network.

Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li

Appl. Intell., 2021

Temporal-Spatial Graph Attention Networks for DCE-MRI Breast Tumor Segmentation.

Tianxu Lv, Xiang Pan

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing.

Tianxu Lv, Xiang Pan, Lihua Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020