activity
20192022
most citedQU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

58 citations · 130 across the 6 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.IV2020

SIMBA: Specific Identity Markers for Bone Age Assessment

Cristina González, María Escobar, Laura Daza +3

Bone Age Assessment (BAA) is a task performed by radiologists to diagnose abnormal growth in a child. In manual approaches, radiologists take into account different identity marker…

astro-ph.IM2020★ 14 cited

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…

cs.LG2020

Rethinking Clustering for Robustness

Motasem Alfarra, Juan C. Pérez, Adel Bibi +3

This paper studies how encouraging semantically-aligned features during deep neural network training can increase network robustness. Recent works observed that Adversarial Trainin…

astro-ph.IM2020★ 24 cited

Classifying Image Sequences of Astronomical Transients with Deep Neural Networks

Catalina Gómez, Mauricio Neira, Marcela Hernández Hoyos +2

Supervised classification of temporal sequences of astronomical images into meaningful transient astrophysical phenomena has been considered a hard problem because it requires the…

cs.CV2020★ 33 cited

Robust Medical Instrument Segmentation Challenge 2019

Tobias Ross, Annika Reinke, Peter M. Full +47

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…