56 citations · 61 across the 4 of their papers we have counts for
4 papers
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models
Fan Fan, Georgia Martinez, Thomas Desilvio +10
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML)…
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling
Cedric Walker, Tasneem Talawalla, Robert Toth +11
The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histolog…
Quick Annotator: an open-source digital pathology based rapid image annotation tool
Runtian Miao, Robert Toth, Yu Zhou +2
Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e.g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Sli…
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
Amir Reza Sadri, Andrew Janowczyk, Ren Zou +6
We sought to develop a quantitative tool to quickly determine relative differences in MRI volumes both within and between large MR imaging cohorts (such as available in The Cancer…