54 citations · 119 across the 8 of their papers we have counts for
8 papers
Progress and new challenges in image-based profiling
Erik Serrano, John Peters, Jesko Wagner +19
For over two decades, image-based profiling has revolutionized cell phenotype analysis. Image-based profiling processes rich, high-throughput, microscopy data into thousands of unb…
Reproducible image-based profiling with Pycytominer
Erik Serrano, Srinivas Niranj Chandrasekaran, Dave Bunten +25
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Whether by deep learning or classical algorithms, imag…
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
Wolfgang M. Pernice, Michael Doron, Alex Quach +5
Real-world deployment of computer vision systems, including in the discovery processes of biomedical research, requires causal representations that are invariant to contextual nuis…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Siqi Wang, Manyuan Lu, Nikita Moshkov +2
Analyzing the morphology of cells in microscopy images can provide insights into the mechanism of compounds or the function of genes. Addressing this task requires methods that can…
Quantum Latent Semantic Analysis
Fabio A. González, Juan C. Caicedo
The main goal of this paper is to explore latent topic analysis (LTA), in the context of quantum information retrieval. LTA is a valuable technique for document analysis and repres…
Active Object Localization with Deep Reinforcement Learning
Juan C. Caicedo, Svetlana Lazebnik
We present an active detection model for localizing objects in scenes. The model is class-specific and allows an agent to focus attention on candidate regions for identifying the c…
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes +3
The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k…