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

Tekijä Chen, Liang, Bentley, Paul, Rueckert, Daniel
Julkaisussa Neuroimage Clin (2017)

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

Tekijä International Conference, FIMH 2013, Ourselin, Sébastien., Rueckert, Daniel., Smith, Nicolas.
Julkaistu 2013

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

Tekijä Meng, Qingjie, Bai, Wenjia, O’Regan, Declan P, Rueckert, Daniel
Julkaisussa IEEE Trans Med Imaging (2023)

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

Tekijä Dawant, Benoit M., Christensen, Gary Edward., Fitzpatrick, J. Michael., Rueckert, Daniel.
Julkaistu 2012

LEAP: Learning embeddings for atlas propagation

Tekijä Wolz, Robin, Aljabar, Paul, Hajnal, Joseph V., Hammers, Alexander, Rueckert, Daniel
Julkaistu 2009

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

Tekijä Ledig, Christian, Schuh, Andreas, Guerrero, Ricardo, Heckemann, Rolf A., Rueckert, Daniel
Julkaisussa Sci Rep (2018)

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

Tekijä Gray, Katherine R., Aljabar, Paul, Heckemann, Rolf A., Hammers, Alexander, Rueckert, Daniel
Julkaistu 2012

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

Tekijä Koikkalainen, Juha, Lötjönen, Jyrki, Thurfjell, Lennart, Rueckert, Daniel, Waldemar, Gunhild, Soininen, Hilkka
Julkaistu 2011

Tractography-driven Groupwise Multi-Scale Parcellation of the Cortex

Tekijä Parisot, Sarah, Arslan, Salim, Passerat-Palmbach, Jonathan, Wells, William M., Rueckert, Daniel
Julkaisussa Inf Process Med Imaging (2015)

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

Tekijä Parisot, Sarah, Arslan, Salim, Passerat-Palmbach, Jonathan, Wells, William M., Rueckert, Daniel
Julkaisussa Neuroimage (2016)

Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests

Tekijä Lorch, Benedikt, Vaillant, Ghislain, Baumgartner, Christian, Bai, Wenjia, Rueckert, Daniel, Maier, Andreas
Julkaisussa J Med Eng (2017)

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

Tekijä Chen, Liang, Bentley, Paul, Mori, Kensaku, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel
Julkaisussa Med Image Anal (2019)

Medical imaging deep learning with differential privacy

Tekijä Ziller, Alexander, Usynin, Dmitrii, Braren, Rickmer, Makowski, Marcus, Rueckert, Daniel, Kaissis, Georgios
Julkaisussa Sci Rep (2021)

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

Tekijä Xi, Jiahe, Shi, Wenzhe, Rueckert, Daniel, Razavi, Reza, Smith, Nicolas P., Lamata, Pablo
Julkaistu 2013

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

Tekijä Gray, Katherine R., Wolz, Robin, Heckemann, Rolf A., Aljabar, Paul, Hammers, Alexander, Rueckert, Daniel
Julkaistu 2012

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

Tekijä Zhang, Kai Yu, Kedgley, Angela E, Donoghue, Claire R, Rueckert, Daniel, Bull, Anthony MJ
Julkaistu 2014

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Tekijä Schmidt-Richberg, Alexander, Ledig, Christian, Guerrero, Ricardo, Molina-Abril, Helena, Frangi, Alejandro, Rueckert, Daniel
Julkaisussa PLoS One (2016)

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

Tekijä Parisot, Sarah, Glocker, Ben, Ktena, Sofia Ira, Arslan, Salim, Schirmer, Markus D., Rueckert, Daniel
Julkaisussa Neuroimage (2017)

Deep Learning for Cardiac Image Segmentation: A Review

Tekijä Chen, Chen, Qin, Chen, Qiu, Huaqi, Tarroni, Giacomo, Duan, Jinming, Bai, Wenjia, Rueckert, Daniel
Julkaisussa Front Cardiovasc Med (2020)

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

Tekijä Schlemper, Jo, Oktay, Ozan, Schaap, Michiel, Heinrich, Mattias, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel
Julkaisussa Med Image Anal (2019)