We will present a deep learning-based method that jointly detects and pairs nuclei and Golgi in 3D that outperforms classical approaches on a dataset of mouse retinal microscopy images acquired at the Vascular Biology and Disease Laboratory from Instituto Gulbenkian de Ciência.
Emergency Departments (EDs) are essential for providing prompt care but often face overcrowding issues, mainly due to non-urgent patients and
Automated Analysis of Multi-Modal Medical Data using Deep Belief Networks Recently, magnetic resonance and ultrasound imaging have found utility as
Precision Radiology In this work, we propose new prognostic methods that predict 5-year mortality in elderly individuals using chest computed
Started in 2014 we deployed a large scale 3D visual sensing infrastructure in Lisbon’s Airport. Currently with more than 30
The 2018 LARSyS Annual Meeting was a success! For two full days researchers from ISR, IN+, M-ITI and Maretec gathered
Acoustic Surveillance System Underwater noise has been identified by EU as a pollutant for biological species, including marine mammals, fish,
A Learned based method to design cost functions DO is an innovative way of estimating a surrogate of the gradient
The challenge is to count vehicles in a city-scale low resolution, low frame rate network of urban cameras. The target city is NY where 200+ cameras stream video from selected places. In this work several Deep Learning solutions are presented with unprecedented performance. In a very diverse conditions (sunny, cloudy, rainy) the deep-learning model is able to estimate the correct number of cars with errors of 1.5 cars (MAE).
