Area of research
Genetics · Neurology
Research interest
Research interests include Segmentation, Computer science, Magnetic resonance imaging, Artificial intelligence, Deep learning, and Multi-task learning.
BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers
MamTrans: magnetic resonance imaging segmentation algorithm for high-grade gliomas and brain meningiomas integrating attention mechanisms and state-space models
Deep learning models for rapid discrimination of high-grade gliomas from solitary brain metastases using multi-plane T1-weighted contrast-enhanced (T1CE) images
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