2 citations · 2 across the 4 of their papers we have counts for
5 papers
SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
Yucheng Yuan, Yuanfeng Ji, Zhongxiao Li +1
Spatial proteomics enables single-cell-resolution characterization of protein expression within tissue architecture, playing a critical role in understanding tumor microenvironment…
nnMIL: A generalizable multiple instance learning framework for computational pathology
Xiangde Luo, Jinxi Xiang, Yuanfeng Ji +1
Computational pathology holds substantial promise for improving diagnosis and guiding treatment decisions. Recent pathology foundation models enable the extraction of rich patch-le…
A Generative Foundation Model for Chest Radiography
Yuanfeng Ji, Dan Lin, Xiyue Wang +12
The scarcity of well-annotated diverse medical images is a major hurdle for developing reliable AI models in healthcare. Substantial technical advances have been made in generative…
Ensemble learning of pathology foundation models for precision oncology
Xiangde Luo, Xiyue Wang, Feyisope Eweje +24
Histopathology is essential for cancer diagnosis and treatment selection, and pathology foundation models learn visual representations from whole-slide images (WSIs). However, exis…
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy
Liang Qiu, Wenhao Chi, Xiaohan Xing +8
Precision therapy for liver cancer necessitates accurately delineating liver sub-regions to protect healthy tissue while targeting tumors, which is essential for reducing recurrenc…