Tianxu Lv

26 papers A* 3A 1Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification.
AAAI
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
2026 J jnl
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification.
CoRR
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
2026 J jnl
Pseudo kinetics-driven federated diffusion hemodynamic framework for breast tumor segmentation in pre-contrast MRI.
Expert Syst. Appl.
Tianxu Lv, Yang Xiao, Li Liu, Chenyi Lei, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan
2025 J jnl
Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning.
CoRR
Zhenchao Tang, Fang Wang, Haohuai He, Jiale Zhou, Tianxu Lv, Jun Zhu, Shouzhi Chen, Minghao Yang, Yu Wang, Jiayang Wu, Yidong Song, Jianhua Yao
2025 — conf
Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement.
MICCAI (8)
Hongnian Tian, Tianxu Lv, Jiansong Fan, Delin Pan, Lihua Li, Xiang Pan
2025 J jnl
DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.
Medical Image Anal.
Jiansong Fan, Qi Sun, Yicheng Di, Jiayu Bao, Tianxu Lv, Yuan Liu, Xiaoyun Hu, Lihua Li, Xiaobin Cui, Xiang Pan
2025 J jnl
Leveraging Induced Transferable Binding Principles for Associative Prediction of Novel Drug-Target Interactions.
CoRR
Xiaoqing Lian, Jie Zhu, Tianxu Lv, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Lihua Li, Xiangxiang Zeng, Xiang Pan
2025 A* conf
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity.
AAAI
Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan
2025 A* conf
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis.
IJCAI
Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan
2025 J jnl
Semantic consistency-guided patch-wise relation graph reasoning scheme for lung cancer organoid segmentation in brightfield microscopy.
Comput. Methods Programs Biomed.
Tianxu Lv, Jiansong Fan, Zexin Chen, Yuan Liu, Jianming Ni, Wei Chu, Xiang Pan
2025 J jnl
Spatiotemporal context feedback bidirectional attention network for breast cancer segmentation based on DCE-MRI.
Neural Comput. Appl.
Xiang Pan, Tianxu Lv, Yuan Liu, Ningjun Li, Lihua Li, Yan Zhang, Jianming Ni, Chunjuan Jiang
2024 J jnl
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation.
Expert Syst. Appl.
Jiansong Fan, Tianxu Lv, Shunyuan Jia, Yuan Liu, Ruihong Deng, Zexin Chen, Yu Zhu, Lihua Li, Chunjuan Jiang, Jianming Ni, Xiang Pan
2024 J jnl
AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer.
Comput. Methods Programs Biomed.
Tianxu Lv, Xiaoyan Hong, Yuan Liu, Kai Miao, Heng Sun, Lihua Li, Chuxia Deng, Chunjuan Jiang, Xiang Pan
2024 J jnl
Advancing the Boundary of Pre-Trained Models for Drug Discovery: Interpretable Fine-Tuning Empowered by Molecular Physicochemical Properties.
IEEE J. Biomed. Health Informatics
Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiaoyan Hong, Longzhen Ding, Wei Chu, Jianming Ni, Xiang Pan
2024 J jnl
An Emotional-Aware Mobile Terminal Accessibility-Assisted Recommendation System for the Elderly Based on Haptic Recognition.
Int. J. Hum. Comput. Interact.
Junyi Lu, Yuan Liu, Tianxu Lv, Lei Meng
2024 J jnl
DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis.
IEEE Trans. Medical Imaging
Jiansong Fan, Tianxu Lv, Pei Wang, Xiaoyan Hong, Yuan Liu, Chunjuan Jiang, Jianming Ni, Lihua Li, Xiang Pan
2024 — conf
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI.
MICCAI (9)
Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li
2024 — conf
Interpretable Multi-domain Awareness Scheme for Drug-target Interaction Prediction.
BIBM
Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiang Pan
2024 — conf
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images.
MICCAI (8)
Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan
2023 — conf
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI.
MICCAI (4)
Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan
2022 J jnl
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI.
Medical Image Anal.
Tianxu Lv, Youqing Wu, Yihang Wang, Yuan Liu, Lihua Li, Chuxia Deng, Xiang Pan
2022 J jnl
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.
IEEE J. Biomed. Health Informatics
Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li, Xiang Pan
2021 J jnl
DESN: An unsupervised MR image denoising network with deep image prior.
Theor. Comput. Sci.
Yazhou Zhu, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li
2021 A conf
Temporal-Spatial Graph Attention Networks for DCE-MRI Breast Tumor Segmentation.
BMVC
Tianxu Lv, Xiang Pan
2021 J jnl
Unsupervised medical images denoising via graph attention dual adversarial network.
Appl. Intell.
Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li
2020 — conf
DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing.
BIBM
Tianxu Lv, Xiang Pan, Lihua Li