6 papers
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Yilan Zhang, Li Nanbo, Changchun Yang +2
The integration of histology images and gene profiles has shown great promise for improving survival prediction in cancer. However, current approaches often struggle to model intra…
Perturb-and-Restore: Simulation-driven Structural Augmentation Framework for Imbalance Chromosomal Anomaly Detection
Yilan Zhang, Hanbiao Chen, Changchun Yang +10
Detecting structural chromosomal abnormalities is crucial for accurate diagnosis and management of genetic disorders. However, collecting sufficient structural abnormality data is…
Wearable-informed generative digital avatars predict task-conditioned post-stroke locomotion
Yanning Dai, Chenyu Tang, Ruizhi Zhang +16
Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not i…
PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer
Changchun Yang, Haoyang Li, Yushuai Wu +8
While pathology foundation models have transformed cancer image analysis, they often lack integration with molecular data at single-cell resolution, limiting their utility for prec…
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology
Changchun Yang, Weiqian Dai, Yilan Zhang +8
Chromosome analysis is vital for diagnosing genetic disorders and guiding cancer therapy decisions through the identification of somatic clonal aberrations. However, developing an…
Improving Representation of High-frequency Components for Medical Visual Foundation Models
Yuetan Chu, Yilan Zhang, Zhongyi Han +5
Foundation models have recently attracted significant attention for their impressive generalizability across diverse downstream tasks. However, these models are demonstrated to exh…