Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
603-03-004 ISMRM Abstract

A Hierarchical Multi-task Learning Framework for Brain Tumor Classification Using Multi-modal MRI

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Tumors
603-03-004 · AI for Diagnostic and Prognostic Applications · Thursday, 14 May, 4:00 PM–5:50 PM · Auditorium 1
Keywords: Brain Tumor classification Hierarchical Diagnostic Multi-modal MRI
Accepted
Qianqian Zheng1, Yueqi Yang, Shuang Li1, Yuchi Tian2, Xiaorui Su 1, Xiaoyun Liang2, Shuang Tang, Guangliang Ju3, Qiang Yue1
1West China Hospital of Sichuan University, Chendu, China
2Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China
3Intelligent Imaging Software R&D Division，Neusoft Medical Systems Co., Ltd, Shenyang, China
Presenting Author: Xiaorui Su

Synopsis

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References

1. Ostrom QT, Price M, Neff C, et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016-2020. Neuro Oncol. Oct 4 2023;25(12 Suppl 2):iv1-iv99. doi:10.1093/neuonc/noad149 [doi]
2. Menze B, Isensee F, Wiest R, et al. Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput Med Imaging Graph. Mar 2021;88:101828. doi:10.1016/j.compmedimag.2020.101828 [doi]
3. Zhang J, Lv R, Chen W, Du G, Fu Q, Jiang H. A novel residual network based on multidimensional attention and pinwheel convolution for brain tumor classification. Sci Rep. Aug 23 2025;15(1):31066. doi:10.1038/s41598-025-16564-7 [doi]
4. Singh J, Bhardwaj M, Pathak A, Sharma L. Enhanced brain tumor classification in MRI using an optimized deep random graph dilated diffusion convolutional attention network. Med Phys. Oct 2025;52(10):e70028. doi:10.1002/mp.70028 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/603-03-004