Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
331-02-001 / 331-02-001 ISMRM Abstract

BridgeMamba: Frequency–Spatial Bridging for Undersampled MRI Segmentation

Primary: Analysis Methods - Segmentation and Detection
Secondary: Acquisition & Reconstruction - AI methods
331-02-001 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace
331-02-001 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace
Keywords: MRI Deep Learning Segmentation Acceleration Artificial Intelligence (AI)
Accepted
Hongli Chen1, Pengcheng Fang2, 雨夏 陈3, Tianyi Ding1, Wei Jiang1, Zhifeng Chen4, Chunyi Liu5, Yang Gao6, Fangfang Tang1, Feng Liu1, shanshan shan 7
1The University of Queensland, Brisbane, Australia
2University of Southampton, Southampton, United Kingdom
3Chengdu Jiaozi Financial Holding Group, Chengdu, China
4Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Hangzhou, China
5Medical School, Nanjing University, Najing, China
6School of Computer Science and Engineering, Central South University, Changsha, China
7School of Radiological and Interdisciplinary Sciences, Soochow University, Suzhou, China
Presenting Author: shanshan shan

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References

1. S. Shan et al., “Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac,” Magnetic resonance in medicine, vol. 90, no. 3, pp. 963–977, 2023, doi: 10.1002/mrm.29684. [doi]
2. B. H. Menze et al., “The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS),” IEEE transactions on medical imaging, vol. 34, no. 10, pp. 1993–2024, 2015, doi: 10.1109/TMI.2014.2377694. [doi]
3. H. Cao et al., “Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation,” in Computer Vision - ECCV 2022 Workshops, vol. 13803, T. Michaeli, L. Karlinsky, and K. Nishino, Eds., Switzerland: Springer, 2023, pp. 205–218. doi: 10.1007/978-3-031-25066-8_9. [doi]
4. W. Jiang, Z. Xiong, F. Liu, N. Ye, and H. Sun, “Fast Controllable Diffusion Models for Undersampled MRI Reconstruction,” in Proceedings (International Symposium on Biomedical Imaging), IEEE, 2024, pp. 1–5. doi: 10.1109/ISBI56570.2024.10635891. [doi]
5. Y. Liu et al., “VMamba: Visual State Space Model,” 2024, doi: 10.48550/arxiv.2401.10166. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/331-02-001