565-04-006 ISMRM Abstract

Radiomics-Distilled Self-Supervised Deep leaning framework for Label-Efficient Glioma Treatment Response Prediction

Primary: Analysis Methods - Classification and Prediction

Secondary: Neuro - Tumors

565-04-006 · Neuroradiomics · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row F

Keywords: Radiomics Knowledge Distillation Self-supervised learning Glioma prognosis Label-efficient deep learning

Accepted

Yuchi Tian ¹, Xiaorui Su², Xiaoyun Liang¹, Qiang Yue²

¹Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China

²West China Hospital of Sichuan University, Chendu, China

Presenting Author: Yuchi Tian

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References

1. Tewarie I A, Senders J T, Kremer S, et al. Survival prediction of glioblastoma patients—are we there yet? A systematic review of prognostic modeling for glioblastoma and its clinical potential[J]. Neurosurgical review, 2021, 44: 2047-2057.

2. Jiménez-Sánchez A, Avlona N R, de Boer S, et al. In the picture: Medical imaging datasets, artifacts, and their living review[C]. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. 2025: 511-531.

3. Calabrese E, Villanueva-Meyer JE, Rudie JD, Rauschecker AM, Baid U, Bakas S, Cha S, Mongan JT, Hess CP. The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset. Radiol Artif Intell. 2022 Oct 5;4(6):e220058. doi: 10.1148/ryai.220058. [doi]

4. Yang J, Shi R, Wei D, et al. MedMNIST v2-A large-scale lightweight benchmark for 2D and 3D biomedical image classification[J]. Scientific Data, 2023, 10(1): 41.Hamstra, D.A., et al. (2005). Diffusion magnetic resonance imaging: a biomarker for treatment response in glioma? Clinical Cancer Research, 11(24), 8476-8485.

5. Zhang X, Wang D, Shao J, et al. A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography[J]. Scientific reports, 2021, 11(1): 3938.

6. Han Y, Holste G, Ding Y, et al. Radiomics-guided global-local transformer for weakly supervised pathology localization in chest X-rays[J]. IEEE transactions on medical imaging, 2022, 42(3): 750-761.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-04-006