1 citations · 1 across the 4 of their papers we have counts for
7 papers
Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation
Rafael Velasquez, Esther Puyol-Antón, Pablo Arbeláez
Accurate coronary artery segmentation on coronary computed tomography angiography (CCTA) is essential for diagnosing coronary artery disease. Deep networks are conventionally train…
Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics
Daniela Vega, Paula Cárdenas, Hannah Ceballos +2
Spatial Transcriptomics (ST) has transformed biomedical research by enabling the spatial mapping of gene expression across tissue sections. However, high operational costs, special…
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio +7
Antimicrobial peptides have emerged as promising molecules to combat antimicrobial resistance. However, fragmented datasets, inconsistent annotations, and the lack of standardized…
Towards Automated Petrography
Isai Daniel Chacón, Paola Ruiz Puentes, Jillian Pearse +1
Petrography is a branch of geology that analyzes the mineralogical composition of rocks from microscopical thin section samples. It is essential for understanding rock properties a…
CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records
Daniela Vega, Hannah V. Ceballos, Javier S. Vera +10
Prenatal diagnosis of Congenital Heart Diseases (CHDs) holds great potential for Artificial Intelligence (AI)-driven solutions. However, collecting high-quality diagnostic data rem…
Latent Gene Diffusion for Spatial Transcriptomics Completion
Paula Cárdenas, Leonardo Manrique, Daniela Vega +2
Computer Vision has proven to be a powerful tool for analyzing Spatial Transcriptomics (ST) data. However, current models that predict spatially resolved gene expression from histo…
Deep-TAO: The Deep Learning Transient Astronomical Object data set for Astronomical Transient Event Classification
John F. Suárez-Pérez, Catalina Gómez, Mauricio Neira +3
We present the Deep-learning Transient Astronomical Object (Deep-TAO), a dataset of 1,249,079 annotated images from the Catalina Real-time Transient Survey, including 3,807 transie…