12 citations · 42 across the 19 of their papers we have counts for
19 papers
NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer
Qiang Li, George Teodoro, Yi Jiang +1
Neoadjuvant chemotherapy (NAC) response prediction for triple negative breast cancer (TNBC) patients is a challenging task clinically as it requires understanding complex histology…
Efficient Strategies for Graph Pattern Mining Algorithms on GPUs
Samuel Ferraz, Vinicius Dias, Carlos H. C. Teixeira +2
Graph Pattern Mining (GPM) is an important, rapidly evolving, and computation demanding area. GPM computation relies on subgraph enumeration, which consists in extracting subgraphs…
Liver Steatosis Segmentation with Deep Learning Methods
Xiaoyuan Guo, Fusheng Wang, George Teodorou +2
Liver steatosis is known as the abnormal accumulation of lipids within cells. An accurate quantification of steatosis area within the liver histopathological microscopy images play…
Run-time Parameter Sensitivity Analysis Optimizations
Eduardo Scartezini, Willian Barreiros, Tahsin Kurc +4
Efficient execution of parameter sensitivity analysis (SA) is critical to allow for its routinely use. The pathology image processing application investigated in this work processe…
Accelerating Sensitivity Analysis in Microscopy Image Segmentation Workflows
Willian de Oliveira Barreiros Junior, George Teodoro
With the increasingly availability of digital microscopy imagery equipments there is a demand for efficient execution of whole slide tissue image applications. Through the process…
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
Luis F. R. Taveira, Tahsin Kurc, Alba C. M. A. Melo +4
We propose a software platform that integrates methods and tools for multi-objective parameter auto- tuning in tissue image segmentation workflows. The goal of our work is to provi…