output
20182025
most citedADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

80 citations

6 papers

cs.CV2025

Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images

Lucas Gabriel Telesco, Danila Nejamkin, Estefanía Mata +8

Retinal image quality assessment (RIQA) supports computer-aided diagnosis of eye diseases. However, most tools classify only overall image quality, without indicating acquisition d…

cs.SE2023★ 6 cited

Introducing Interactions in Multi-Objective Optimization of Software Architectures

Vittorio Cortellessa, J. Andres Diaz-Pace, Daniele Di Pompeo +4

Software architecture optimization aims to enhance non-functional attributes like performance and reliability while meeting functional requirements. Multi-objective optimization em…

eess.IV2022★ 80 cited

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Huihui Fang, Fei Li, Huazhu Fu +28

Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…

physics.app-ph2022★ 2 cited

Enhanced deep-tissue photoacoustics by using microcomposites made of radiofrequency metamaterials and soft polymers: Double- and triple-resonance phenomena

Ricardo Martín Abraham-Ekeroth

Photoacoustic imaging systems offer a platform with high resolution to explore body tissues, food, and artwork. On the other hand, plasmonics constitutes a source of resonant heati…

cs.CV2020★ 2 cited

Behavioural pattern discovery from collections of egocentric photo-streams

Martin Menchon, Estefania Talavera, Jose M Massa +1

The automatic discovery of behaviour is of high importance when aiming to assess and improve the quality of life of people. Egocentric images offer a rich and objective description…

cs.NE2018

CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines

David A. Monge, Elina Pacini, Cristian Mateos +2

Cloud Computing is becoming the leading paradigm for executing scientific and engineering workflows. The large-scale nature of the experiments they model and their variable workloa…