4 citations · 6 across the 4 of their papers we have counts for
4 papers
Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis
Shuai Jiang, Saeed Hassanpour
Transformer-based models have achieved remarkable success in natural language and vision tasks, but their application to gene expression analysis remains limited due to data sparsi…
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
Shuai Jiang, Christina Robinson, Joseph Anderson +4
Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal cancer (CRC), but current follow-up guidelines rely primarily on histopathologica…
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata +1
In digital pathology, whole slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction. Visual transformer models have recently emerged…
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
In pathology, whole-slide images (WSI) based survival prediction has attracted increasing interest. However, given the large size of WSIs and the lack of pathologist annotations, e…