Search Results for author: Juan C. Caicedo

Found 9 papers, 4 papers with code

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

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.

Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy

no code implementations15 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.

Out-of-Distribution Generalization Style Transfer

Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings

no code implementations6 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.

Drug Discovery

Quantum Latent Semantic Analysis

no code implementations7 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.

Information Retrieval Retrieval

Weakly Supervised Learning of Single-Cell Feature Embeddings

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.

Drug Discovery Weakly-supervised Learning

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