58 citations · 72 across the 3 of their papers we have counts for
3 papers
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…
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition
Mauricio Neira, Catalina Gómez, John F. Suárez-Pérez +5
We introduce MANTRA, an annotated dataset of 4869 transient and 71207 non-transient object lightcurves built from the Catalina Real Time Transient Survey. We provide public access…