6 citations · 8 across the 4 of their papers we have counts for
4 papers
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Shivang Chopra, Gabriela Sanchez-Rodriguez, Lingchao Mao +3
Different medical imaging modalities capture diagnostic information at varying spatial resolutions, from coarse global patterns to fine-grained localized structures. However, most…
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
Hairong Wang, Lingchao Mao, Zihan Zhang +1
Liver cancer is a leading cause of mortality worldwide, and accurate Computed Tomography (CT)-based tumor segmentation is essential for diagnosis and treatment. Manual delineation…
Supervised Multi-Modal Fission Learning
Lingchao Mao, Qi wang, Yi Su +2
Learning from multimodal datasets can leverage complementary information and improve performance in prediction tasks. A commonly used strategy to account for feature correlations i…
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review
Lingchao Mao, Hairong Wang, Leland S. Hu +4
Cancer remains one of the most challenging diseases to treat in the medical field. Machine learning has enabled in-depth analysis of rich multi-omics profiles and medical imaging f…