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2020 – today
- 2025
[j3]Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen:
Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study. BMC Medical Informatics Decis. Mak. 25(1): 209 (2025)- [j2]Runqi Meng
, Jingli Chen, Kaicong Sun, Qianqian Chen, Xiao Zhang, Ling Dai, Yuning Gu, Guangyu Wu, Dinggang Shen:
A Neighbor-Sensitive Multi-Modal Flexible Learning Framework for Improved Prostate Tumor Segmentation in Anisotropic MR Images. IEEE Trans. Biomed. Eng. 72(11): 3148-3158 (2025) - [c6]Runqi Meng, Sifan Song, Pengfei Jin, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Yujin Oh, Xiang Li, Quanzheng Li, Ning Guo, Dinggang Shen:
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts. MICCAI (16) 2025: 310-320 - [i4]Yujin Oh, Robert Seifert, Yihan Cao, Christoph Clement, Justin Ferdinandus, Constantin Lapa, Alessandro Liebich, Michelle Amon, Johanna Enke, Sifan Song, Runqi Meng, Fang Zeng, Ning Guo, Xiang Li, Pedram Heidari, Axel Rominger, Kuangyu Shi, Quanzheng Li:
Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging. CoRR abs/2503.02824 (2025) - [i3]Runqi Meng, Sifan Song, Pengfei Jin, Yujin Oh, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Xiang Li, Quanzheng Li, Ning Guo, Dinggang Shen:
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts. CoRR abs/2503.14355 (2025) - [i2]Sifan Song, Siyeop Yoon, Pengfei Jin, Sekeun Kim, Matthew Tivnan, Yujin Oh, Runqi Meng, Ling Chen, Zhiliang Lyu, Dufan Wu, Ning Guo, Xiang Li, Quanzheng Li:
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging. CoRR abs/2505.04899 (2025) - 2024
- [j1]Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 43(5): 1958-1971 (2024) - [c5]Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen:
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. AAAI 2024: 4198-4206 - [c4]Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen:
SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis. CaPTion@MICCAI 2024: 200-210 - [c3]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. MICCAI (2) 2024: 238-248 - [c2]Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) 2024: 405-414 - [i1]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR abs/2407.21328 (2024) - 2023
- [c1]Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen:
Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation. ISBI 2023: 1-4
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