Juan C. Caicedo

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

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...

Synthesizing Late-Stage Contrast Enhancement in Breast MRI: A Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamics

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for breast cancer diagnosis due to its ability to characterize tissue through contrast agent kinetics. However,...

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

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 not only...

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

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 with 244k...

Quantum Latent Semantic Analysis

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 representation, which...

Active Object Localization with Deep Reinforcement Learning

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Combining morphological and migration profiles of in vitro time-lapse data

Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks

A kernel-based strategy for exploratory image collection search

CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy images

ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning

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

Multimodal Image Annotation Using Non-negative Matrix Factorization

Multimodal fusion for image retrieval using matrix factorization

Combining visual features and text data for medical image retrieval using latent semantic kernels

BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources

Design of a Medical Image Database with Content-Based Retrieval Capabilities