400 citations · 1.2k across the 67 of their papers we have counts for
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Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
Ozsel Kilinc, Giovanni Montana
Multi-agent reinforcement learning systems aim to provide interacting agents with the ability to collaboratively learn and adapt to the behaviour of other agents. In many real-worl…
A Generative Adversarial Model for Right Ventricle Segmentation
Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata +1
The clinical management of several cardiovascular conditions, such as pulmonary hypertension, require the assessment of the right ventricular (RV) function. This work addresses the…
V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation
Nicoló Savioli, Giovanni Montana, Pablo Lamata
Atrial Fibrillation (AF) is a common electro-physiological cardiac disorder that causes changes in the anatomy of the atria. A better characterization of these changes is desirable…
Automated segmentation on the entire cardiac cycle using a deep learning work-flow
Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata +1
The segmentation of the left ventricle (LV) from CINE MRI images is essential to infer important clinical parameters. Typically, machine learning algorithms for automated LV segmen…
Longitudinal detection of radiological abnormalities with time-modulated LSTM
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Convolutional neural networks (CNNs) have been successfully employed in recent years for the detection of radiological abnormalities in medical images such as plain x-rays. To date…
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Nicolo' Savioli, Silvia Visentin, Erich Cosmi +3
The automatic analysis of ultrasound sequences can substantially improve the efficiency of clinical diagnosis. In this work we present our attempt to automate the challenging task…