research
∙
05/05/2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
Medical image registration and segmentation are two of the most frequent...
share
research
∙
03/08/2021
ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
Positron Emission Tomography (PET) is an imaging method that can assess ...
research
∙
12/06/2020
Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network
Manual or automatic delineation of the esophageal tumor in CT images is ...
research
∙
04/15/2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge
Adaptive intelligence aims at empowering machine learning techniques wit...
research
∙
08/27/2019
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
We propose a supervised nonrigid image registration method, trained usin...
research
∙
08/24/2019
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL...
research
∙
01/13/2019
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation
Generative dynamic texture models (GDTMs) are widely used for dynamic te...
research
∙
12/11/2016
A Novel Motion Detection Method Resistant to Severe Illumination Changes
Recently, there has been a considerable attention given to the motion de...
research
∙
08/06/2011
