13 citations · 31 across the 11 of their papers we have counts for
5 papers · 1 filter
TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors
Nicolò Savioli, Luca Del Tongo
Every new clinical imaging device creates a domain shift where dense gland masks are expensive yet cheap clinical signals -- eyelid outlines, Pult grades, morphometric ratios -- ar…
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu +41
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial fir…
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…
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…
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…