20 citations · 20 across the 4 of their papers we have counts for
4 papers
DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology
Junfei Ling, Bangzheng Pu, Bingsen Xue +3
Attention mechanisms have been widely utilized in modern deep learning, and many existing multi-omics models inherit their conventional use to allow unrestricted bidirectional inte…
Multi-Agent Closed-Loop Reasoning for Organic Structure Elucidation from Multimodal Spectra
Bingsen Xue, Zhuojun Jiang, Jianhao Zhang +10
Following the molecular discovery and synthesis revolutions, scalable automated structure elucidation from routine spectroscopic data remains an outstanding challenge. Despite deca…
PRINTER:Deformation-Aware Adversarial Learning for Virtual IHC Staining with In Situ Fidelity
Yizhe Yuan, Bingsen Xue, Bangzheng Pu +2
Tumor spatial heterogeneity analysis requires precise correlation between Hematoxylin and Eosin H&E morphology and immunohistochemical (IHC) biomarker expression, yet current metho…
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao, Yichi Zhang, Le Ding +2
Medical image segmentation is a fundamental and critical step in many image-guided clinical approaches. Recent success of deep learning-based segmentation methods usually relies on…