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04/18/2021
An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
Early detection and quantification of tumour growth would help clinician...
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03/26/2021
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
We address the problem of supporting radiologists in the longitudinal ma...
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05/22/2020
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks
Nodule malignancy assessment is a complex, time-consuming and error-pron...
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12/27/2019
Comparative Analysis of Predictive Methods for Early Assessment of Compliance with Continuous Positive Airway Pressure Therapy
Patients suffering from obstructive sleep apnea are mainly treated with ...
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12/22/2019
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks
Lung cancer follow-up is a complex, error prone, and time consuming task...
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12/18/2019
