Author

Deng-Qiang Jia

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Open access Aug 2026

MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI

Comprehensive magnetic resonance imaging (MRI) analysis in oncology involves multiple interrelated tasks including volumetric segmentation, grading, staging, and malignancy detection. However, most existing deep learning models are task-specific or sequence-specific, lacking the generalizability required for heterogene...

Zhuo-Neng Zhang, Lu-Yi Han, Deng-Qiang Jia et al. · Nature Communications · 2 citations · ⚡1

Open access Jul 2026

BrainSeg: a generalized framework for comprehensive multimodal brain tissue segmentation, parcellation, and lesion labeling.

This work proposes BrainSeg, a novel unified framework for CBS by using large-scale datasets spanning the entire lifespan, with adaptability to diverse uni- and multimodal input scenarios without the need for retraining or finetuning, providing flexible and reliable analysis for large-scale neuroimaging studies.

Shijie Huang, Zifeng Lian, Deng-Qiang Jia et al. · npj Digital Medicine · 1 citation