1 code implementation • 22 Nov 2023 • Erik Serrano, Srinivas Niranj Chandrasekaran, Dave Bunten, Kenneth I. Brewer, Jenna Tomkinson, Roshan Kern, Michael Bornholdt, Stephen Fleming, Ruifan Pei, John Arevalo, Hillary Tsang, Vincent Rubinetti, Callum Tromans-Coia, Tim Becker, Erin Weisbart, Charlotte Bunne, Alexandr A. Kalinin, Rebecca Senft, Stephen J. Taylor, Nasim Jamali, Adeniyi Adeboye, Hamdah Shafqat Abbasi, Allen Goodman, Juan C. Caicedo, Anne E. Carpenter, Beth A. Cimini, Shantanu Singh, Gregory P. Way
Technological advances in high-throughput microscopy have facilitated the acquisition of cell images at a rapid pace, and data pipelines can now extract and process thousands of image-based features from microscopy images.
2 code implementations • NeurIPS 2023 • Zitong Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
In this paper, we present a benchmark for investigating channel-adaptive models in microscopy imaging, which consists of 1) a dataset of varied-channel single-cell images, and 2) a biologically relevant evaluation framework.
no code implementations • 15 Jun 2023 • Wolfgang M. Pernice, Michael Doron, Alex Quach, Aditya Pratapa, Sultan Kenjeyev, Nicholas De Veaux, Michio Hirano, Juan C. Caicedo
Real-world deployment of computer vision systems, including in the discovery processes of biomedical research, requires causal representations that are invariant to contextual nuisances and generalize to new data.
no code implementations • 6 Dec 2021 • Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer
Analyzing the morphology of cells in microscopy images can provide insights into the mechanism of compounds or the function of genes.
no code implementations • 自然方法 2020 • Juan C. Caicedo, Allen Goodman, Kyle W. Karhohs, Beth A. Cimini, Jeanelle Ackerman, Marzieh Haghighi, CherKeng Heng, Tim Becker, Minh Doan, Claire McQuin, Mohammad Rohban, Shantanu Singh & Anne E. Carpenter
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative analysis of imaging data for biological and biomedical applications.
no code implementations • 7 Mar 2019 • Fabio A. González, Juan C. Caicedo
LTA is a valuable technique for document analysis and representation, which has been extensively used in information retrieval and machine learning.
no code implementations • CVPR 2018 • Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter
Many new applications in drug discovery and functional genomics require capturing the morphology of individual imaged cells as comprehensively as possible rather than measuring one particular feature.
3 code implementations • ICCV 2015 • Juan C. Caicedo, Svetlana Lazebnik
We present an active detection model for localizing objects in scenes.
2 code implementations • ICCV 2015 • Bryan A. Plummer, Li-Wei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
The Flickr30k dataset has become a standard benchmark for sentence-based image description.
Ranked #17 on Image Retrieval on Flickr30K 1K test