156 citations · 160 across the 4 of their papers we have counts for
5 papers
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Marzieh Haghighi, Mario C. Cruz, Erin Weisbart +9
Various strategies for label-scarce object detection have been explored by the computer vision research community. These strategies mainly rely on assumptions that are specific to…
CellProfiler Analyst 3.0: Accessible data exploration and machine learning for image analysis
David R. Stirling, Anne E. Carpenter, Beth A. Cimini
Image-based experiments can yield many thousands of individual measurements describing each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free,…
A field guide to cultivating computational biology
Anne E Carpenter, Casey S Greene, Piero Carnici +11
Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together…
Applying Faster R-CNN for Object Detection on Malaria Images
Jane Hung, Deepali Ravel, Stefanie C. P. Lopes +11
Deep learning based models have had great success in object detection, but the state of the art models have not yet been widely applied to biological image data. We apply for the f…
Towards automated high-throughput screening of C. elegans on agar
Mayank Kabra, Annie L. Conery, Eyleen J. O'Rourke +7
High-throughput screening (HTS) using model organisms is a promising method to identify a small number of genes or drugs potentially relevant to human biology or disease. In HTS ex…