output
20122026
most citedFully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks

152 citations

Showing 2021Show all

8 papers · 1 filter

cs.MA2021★ 1 cited

ArchABM: an agent-based simulator of human interaction with the built environment. and viral load analysis for indoor air quality

Iñigo Martinez, Jan L. Bruse, Ane M. Florez-Tapia +2

Recent evidence suggests that SARS-CoV-2, which is the virus causing a global pandemic in 2020, is predominantly transmitted via airborne aerosols in indoor environments. This call…

cs.CV2021★ 91 cited

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

Urtzi Otamendi, Iñigo Martinez, Marco Quartulli +3

In the operation & maintenance (O&M) of photovoltaic (PV) plants, the early identification of failures has become crucial to maintain productivity and prolong components' life. Of…

cs.LG2021★ 117 cited

Data Science Methodologies: Current Challenges and Future Approaches

Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola

Data science has employed great research efforts in developing advanced analytics, improving data models and cultivating new algorithms. However, not many authors have come across…

cs.CV2021★ 31 cited

Learning to Automatically Catch Potholes in Worldwide Road Scene Images

J. Javier Yebes, David Montero, Ignacio Arriola

Among several road hazards that are present in any paved way in the world, potholes are one of the most annoying and also involving higher maintenance costs. There exists an increa…

cs.LG2021★ 2 cited

Temporal graph-based approach for behavioural entity classification

Francesco Zola, Lander Segurola, Jan Lukas Bruse +1

Graph-based analyses have gained a lot of relevance in the past years due to their high potential in describing complex systems by detailing the actors involved, their relations an…

cs.CV2021★ 7 cited

Boosting Masked Face Recognition with Multi-Task ArcFace

David Montero, Marcos Nieto, Peter Leskovsky +1

In this paper, we address the problem of face recognition with masks. Given the global health crisis caused by COVID-19, mouth and nose-covering masks have become an essential ever…