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07/07/2023
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
Accurate segmentation of fetal brain magnetic resonance images is crucia...
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03/11/2022
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
We present a 3D face reconstruction system that aims at recovering the 3...
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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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11/11/2020
Survey on 3D face reconstruction from uncalibrated images
Recently, a lot of attention has been focused on the incorporation of 3D...
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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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12/22/2019
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
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
The early identification of malignant pulmonary nodules is critical for ...
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08/27/2019
Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
In this work, we introduce the Global Planar Convolution module as a bui...
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11/05/2018