Sunho Park

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.

This paper develops a CNN-based method to analyze TILs in bladder cancer WSIs, showing their fraction and spatial organization correlate with patient survival.

This paper develops a Gaussian process-based method for TMB prediction from whole slide images, outperforming baseline methods by incorporating heteroscedastic noise modeling.

The paper develops a 39-gene signature to stratify anaplastic gliomas into two subgroups with distinct survival outcomes, validated in an external dataset.