Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks

Por Chen, Liang, Bentley, Paul, Rueckert, Daniel
Publicado no Neuroimage Clin (2017)

Functional imaging and modeling of the heart 7th International Conference, FIMH 2013, London, UK, June 20-22,2013, proceedings /

Por International Conference, FIMH 2013, Ourselin, Sébastien., Rueckert, Daniel., Smith, Nicolas.
Publicado em 2013

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

Por Meng, Qingjie, Bai, Wenjia, O’Regan, Declan P, Rueckert, Daniel
Publicado no IEEE Trans Med Imaging (2023)

Biomedical image registration 5th international workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings /

Por Dawant, Benoit M., Christensen, Gary Edward., Fitzpatrick, J. Michael., Rueckert, Daniel.
Publicado em 2012

LEAP: Learning embeddings for atlas propagation

Por Wolz, Robin, Aljabar, Paul, Hajnal, Joseph V., Hammers, Alexander, Rueckert, Daniel
Publicado em 2009

Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database

Por Ledig, Christian, Schuh, Andreas, Guerrero, Ricardo, Heckemann, Rolf A., Rueckert, Daniel
Publicado no Sci Rep (2018)

Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease

Por Gray, Katherine R., Aljabar, Paul, Heckemann, Rolf A., Hammers, Alexander, Rueckert, Daniel
Publicado em 2012

Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease

Por Koikkalainen, Juha, Lötjönen, Jyrki, Thurfjell, Lennart, Rueckert, Daniel, Waldemar, Gunhild, Soininen, Hilkka
Publicado em 2011

Tractography-driven Groupwise Multi-Scale Parcellation of the Cortex

Por Parisot, Sarah, Arslan, Salim, Passerat-Palmbach, Jonathan, Wells, William M., Rueckert, Daniel
Publicado no Inf Process Med Imaging (2015)

Group-wise Parcellation of the Cortex through Multi-scale Spectral Clustering

Por Parisot, Sarah, Arslan, Salim, Passerat-Palmbach, Jonathan, Wells, William M., Rueckert, Daniel
Publicado no Neuroimage (2016)

Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests

Por Lorch, Benedikt, Vaillant, Ghislain, Baumgartner, Christian, Bai, Wenjia, Rueckert, Daniel, Maier, Andreas
Publicado no J Med Eng (2017)

Self-supervised learning for medical image analysis using image context restoration

Por Chen, Liang, Bentley, Paul, Mori, Kensaku, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel
Publicado no Med Image Anal (2019)

Understanding the need of ventricular pressure for the estimation of diastolic biomarkers

Por Xi, Jiahe, Shi, Wenzhe, Rueckert, Daniel, Razavi, Reza, Smith, Nicolas P., Lamata, Pablo
Publicado em 2013

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer’s disease

Por Gray, Katherine R., Wolz, Robin, Heckemann, Rolf A., Aljabar, Paul, Hammers, Alexander, Rueckert, Daniel
Publicado em 2012

The relationship between lateral meniscus shape and joint contact parameters in the knee: a study using data from the Osteoarthritis Initiative

Por Zhang, Kai Yu, Kedgley, Angela E, Donoghue, Claire R, Rueckert, Daniel, Bull, Anthony MJ
Publicado em 2014

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Por Schmidt-Richberg, Alexander, Ledig, Christian, Guerrero, Ricardo, Molina-Abril, Helena, Frangi, Alejandro, Rueckert, Daniel
Publicado no PLoS One (2016)

A Flexible Graphical Model for Multi-modal Parcellation of the Cortex

Por Parisot, Sarah, Glocker, Ben, Ktena, Sofia Ira, Arslan, Salim, Schirmer, Markus D., Rueckert, Daniel
Publicado no Neuroimage (2017)

Deep Learning for Cardiac Image Segmentation: A Review

Por Chen, Chen, Qin, Chen, Qiu, Huaqi, Tarroni, Giacomo, Duan, Jinming, Bai, Wenjia, Rueckert, Daniel
Publicado no Front Cardiovasc Med (2020)

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Por Schlemper, Jo, Oktay, Ozan, Schaap, Michiel, Heinrich, Mattias, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel
Publicado no Med Image Anal (2019)

Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Por Leiner, Tim, Rueckert, Daniel, Suinesiaputra, Avan, Baeßler, Bettina, Nezafat, Reza, Išgum, Ivana, Young, Alistair A.
Publicado no J Cardiovasc Magn Reson (2019)