Runqi Meng

According to our database, Runqi Meng authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study.

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

BMC Medical Informatics Decis. Mak., December, 2025

OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging.

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

CoRR, May, 2025

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts.

Runqi Meng, Sifan Song, Pengfei Jin, Yujin Oh, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Xiang Li, Quanzheng Li, Ning Guo, Dinggang Shen

CoRR, March, 2025

Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging.

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

CoRR, March, 2025

2024

Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.

Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen

IEEE Trans. Medical Imaging, May, 2024

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation.

Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen

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

SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis.

Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net.

Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen

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

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images.

Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation.

Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guangyu Wu, Guiqin Liu, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023