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20172022
most citedIntegration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

85 citations · 200 across the 15 of their papers we have counts for

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8 papers · 1 filter

eess.IV202126 cited

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation

Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester

Polyps represent an early sign of the development of Colorectal Cancer. The standard procedure for their detection consists of colonoscopic examination of the gastrointestinal trac…

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…

eess.IV2020

Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita +4

Nodule malignancy assessment is a complex, time-consuming and error-prone task. Current clinical practice requires measuring changes in size and density of the nodule at different…

eess.IV2020

Volumetric parcellation of the right ventricle for regional geometric and functional assessment

Gabriel Bernardino, Amir Hodzic, Helene Langet +5

3D echocardiography is an increasingly popular tool for assessing cardiac remodelling in the right ventricle (RV). It allows quantification of the cardiac chambers without any geom…

eess.IV2019

Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita +4

Lung cancer follow-up is a complex, error prone, and time consuming task for clinical radiologists. Several lung CT scan images taken at different time points of a given patient ne…

eess.IV201985 cited

Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline

Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa +3

The early identification of malignant pulmonary nodules is critical for better lung cancer prognosis and less invasive chemo or radio therapies. Nodule malignancy assessment done b…