Christina Malamateniou

According to our database, Christina Malamateniou authored at least 16 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models.

Jacqueline Matthew, Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego, Carlo Saija, Maria Deprez, Alexia Egloff Collado, Jana Hutter, Lisa Story, Christina Malamateniou, Kawal S. Rhode, Joseph V. Hajnal, Mary A. Rutherford

BMC Medical Imaging, December, 2024

Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK.

Nikolaos Stogiannos, Lia Litosseliti, Tracy O'Regan, Erica Scurr, Anna Barnes, Amrita Kumar, Rizwan Malik, Michael Pogose, Hugh Harvey, Mark F. McEntee, Christina Malamateniou

Int. J. Medical Informatics, 2024

2021

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.

Clare Rainey, Tracy O'Regan, Jacqueline Matthew, Emily Skelton, Nick Woznitza, Kwun-Ye Chu, Spencer Goodman, Jonathan McConnell, Ciara Hughes, Raymond R. Bond, Sonyia McFadden, Christina Malamateniou

Frontiers Digit. Health, 2021

2020

Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting.

Emily Skelton, Nicholas Drey, Mary A. Rutherford, Susan Ayers, Christina Malamateniou

Int. J. Medical Informatics, 2020

2016

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.

Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices.

Bernhard Kainz, Markus Steinberger, Wolfgang Wein, Maria Kuklisova-Murgasova, Christina Malamateniou, Kevin Keraudren, Thomas Torsney-Weir, Mary A. Rutherford, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert

IEEE Trans. Medical Imaging, 2015

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.

Christopher Bowles, Niamh C. Nowlan, Tayyib T. A. Hayat, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.

Bernhard Kainz, Amir Alansary, Christina Malamateniou, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques.

Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.

Amir Alansary, Matthew C. H. Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014

Automated fetal brain segmentation from 2D MRI slices for motion correction.

Kevin Keraudren, Maria Kuklisova-Murgasova, Vanessa Kyriakopoulou, Christina Malamateniou, Mary A. Rutherford, Bernhard Kainz, Joseph V. Hajnal, Daniel Rueckert

NeuroImage, 2014

Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.

Giulio Ferrazzi, Maria Kuklisova-Murgasova, Tomoki Arichi, Christina Malamateniou, Matthew J. Fox, Antonios Makropoulos, Joanna M. Allsop, Mary A. Rutherford, Shaihan J. Malik, Paul Aljabar, Joseph V. Hajnal

NeuroImage, 2014

Graph-Based Label Propagation in Fetal Brain MR Images.

Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI.

Bernhard Kainz, Christina Malamateniou, Maria Murgasova, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2006

The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.

Christina Malamateniou, Serena J. Counsell, Joanna M. Allsop, Julie Fitzpatrick, Latha Srinivasan, Frances M. Cowan, Joseph V. Hajnal, Mary A. Rutherford

NeuroImage, 2006

Automatic extraction and matching of neonatal cerebral vasculature.

Hui Xue, Christina Malamateniou, Joanna M. Allsop, Latha Srinivasan, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006