Publications (6)
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
Zizhao Zhang, Pingjun Chen, Manish Sapkota +1
In this paper, we introduce the semantic knowledge of medical images from their diagnostic reports to provide an inspirational network training and an interpretable prediction mech…
VitaminP: cross-modal learning enables whole-cell segmentation from routine histology
Yasin Shokrollahi, Karina B. Pinao Gonzales, Elizve N. Barrientos Toro +5
Accurate whole-cell and nuclear segmentation is essential for precision pathology and spatial omics, yet routine hematoxylin and eosin (H&E) staining provides limited cytoplasmic c…
Anatomy-Aware Cardiac Motion Estimation
Pingjun Chen, Xiao Chen, Eric Z. Chen +3
Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no…
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Pingjun Chen, Muhammad Aminu, Siba El Hussein +2
The cells and their spatial patterns in the tumor microenvironment (TME) play a key role in tumor evolution, and yet the latter remains an understudied topic in computational patho…
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
Paul H. Acosta, Pingjun Chen, Simon P. Castillo +3
Xenium, a new spatial transcriptomics platform, enables subcellular-resolution profiling of complex tumor tissues. Despite the rich morphological information in histology images, e…
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Jinzheng Cai, Le Lu, Adam P. Harrison +3
Given image labels as the only supervisory signal, we focus on harvesting, or mining, thoracic disease localizations from chest X-ray images. Harvesting such localizations from exi…