Automated Analysis of Multi-Modal Medical Data using Deep Belief Networks
Automated Analysis of Multi-Modal Medical Data using Deep Belief Networks Recently, magnetic resonance and ultrasound imaging have found utility as […]
Projects, Research
Projects
Projects, Research, Uncategorized
Precision Radiology
Precision Radiology In this work, we propose new prognostic methods that predict 5-year mortality in elderly individuals using chest computed
Projects, Uncategorized
Underwater Noise Monitoring
Acoustic Surveillance System Underwater noise has been identified by EU as a pollutant for biological species, including marine mammals, fish,
Projects, Uncategorized
Discriminative Optimization
A Learned based method to design cost functions DO is an innovative way of estimating a surrogate of the gradient
Vehicle Counting
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).