output
20172025
most citedUsing smartphones and wearable devices to monitor behavioural changes during COVID-19

204 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2023★ 5 cited

Expanding the deep-learning model to diagnosis LVNC: Limitations and trade-offs

Gregorio Bernabé, Pilar González-Férez, José M. García +2

Hyper-trabeculation or non-compaction in the left ventricle of the myocardium (LVNC) is a recently classified form of cardiomyopathy. Several methods have been proposed to quantify…

eess.IV2022★ 3 cited

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI

Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu +3

We present PROSUB: PROgressive SUBsampling, a deep learning based, automated methodology that subsamples an oversampled data set (e.g. multi-channeled 3D images) with minimal loss…

eess.IV2021★ 20 cited

Domain generalization in deep learning for contrast-enhanced imaging

Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla +5

The domain generalization problem has been widely investigated in deep learning for non-contrast imaging over the last years, but it received limited attention for contrast-enhance…

eess.IV2021

Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa +3

We address the problem of supporting radiologists in the longitudinal management of lung cancer. Therefore, we proposed a deep learning pipeline, composed of four stages that compl…