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Maria Deprez
Maria Murgasova – Maria Kuklisova-Murgasova
Person information
- affiliation: King's College London, UK
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2020 – today
- 2025
- [j23]Kelly Payette
, Alena Uus, Jordina Aviles Verdera
Fetal body organ T2* relaxometry at low field strength (FOREST). Medical Image Anal. 99: 103352 (2025) - 2024
- [j22]Jacqueline Matthew
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging 24(1): 52 (2024) - [c39]Yilan Dong
Automatic 8-Tissue Segmentation for 6-Month Infant Brains. PIPPI@MICCAI 2024: 59-69 - [c38]Alena Uus, Carla Avena Zampieri, Fenella Downes, Alexia Egloff Collado, Megan Hall, Joseph Davidson, Kelly Payette, Jordina Aviles Verdera, Irina Grigorescu, Joseph V. Hajnal, Maria Deprez, Michael Aertsen, Jana Hutter, Mary A. Rutherford, Jan Deprest, Lisa Story:
Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI. PIPPI@MICCAI 2024: 119-129 - [c37]Irina Grigorescu
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. WBIR 2024: 192-204 - [i6]Lindsay Munroe, Mariana da Silva, Faezeh Heidari, Irina Grigorescu, Simon Dahan, Emma C. Robinson, Maria Deprez, Po-Wah So:
Applications of interpretable deep learning in neuroimaging: a comprehensive review. CoRR abs/2406.17792 (2024) - [i5]Yilan Dong, Vanessa Kyriakopoulou, Irina Grigorescu, Grainne M. McAlonan, Dafnis Batalle, Maria Deprez:
Automatic 8-tissue Segmentation for 6-month Infant Brains. CoRR abs/2408.15198 (2024) - 2023
- [j21]Lucilio Cordero-Grande
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. IEEE Trans. Medical Imaging 42(3): 810-822 (2023) - [c36]Helena S. Sousa, Abi Gartner
A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI. PIPPI@MICCAI 2023: 17-27 - [c35]Alena Uus, Megan Hall, Kelly Payette, Joseph V. Hajnal
Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline. PIPPI@MICCAI 2023: 28-38 - [c34]Suryava Bhattacharya
Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator. PIPPI@MICCAI 2023: 39-49 - [c33]Paula Ramirez Gilliland
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. PIPPI@MICCAI 2023: 53-63 - [c32]Lindsay Munroe, Maria Deprez
Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 214-226 - [c31]Kelly Payette
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. MICCAI (7) 2023: 358-367 - [i4]Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez:
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI. CoRR abs/2311.07234 (2023) - 2022
- [j20]Alena Uus, Irina Grigorescu
Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range. Medical Image Anal. 80: 102484 (2022) - [j19]Yassine Taoudi-Benchekroun, Daan Christiaens
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257: 119319 (2022) - [c30]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. PIPPI@MICCAI 2022: 71-81 - [c29]Paula Ramirez Gilliland
Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. PIPPI@MICCAI 2022: 82-93 - [c28]Alena Uus, Mohammad-Usamah Ayub, Abi Gartner
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. PIPPI@MICCAI 2022: 94-104 - 2021
- [j18]Daan Christiaens
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. NeuroImage 225: 117437 (2021) - [c27]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande
Uncertainty-Aware Deep Learning Based Deformable Registration. UNSURE/PIPPI@MICCAI 2021: 54-63 - [c26]Alena Uus, Jacqueline Matthew
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 168-178 - [i3]Lucilio Cordero-Grande, Juan Enrique Ortuño Fisac, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María-Jesus Ledesma-Carbayo:
Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction. CoRR abs/2111.00102 (2021) - 2020
- [j17]Maria Deprez
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Trans. Medical Imaging 39(4): 1104-1113 (2020) - [j16]Alena Uus
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI. IEEE Trans. Medical Imaging 39(9): 2750-2759 (2020) - [c25]Alena Uus, Johannes K. Steinweg, Alison Ho, Laurence H. Jackson
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. ASMUS/PIPPI@MICCAI 2020: 222-232 - [c24]Irina Grigorescu
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. ASMUS/PIPPI@MICCAI 2020: 253-263 - [c23]Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero-Grande, Jana Hutter
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain. WBIR 2020: 111-121 - [c22]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande
Diffusion Tensor Driven Image Registration: A Deep Learning Approach. WBIR 2020: 131-140
2010 – 2019
- 2019
- [j15]Matteo Bastiani
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage 185: 750-763 (2019) - [j14]Daan Christiaens
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. IEEE Trans. Medical Imaging 38(3): 834-843 (2019) - [c21]Tong Zhang
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. MLMIR@MICCAI 2019: 16-24 - [c20]Irina Grigorescu
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. SUSI/PIPPI@MICCAI 2019: 104-112 - [i2]Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez:
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. CoRR abs/1908.10842 (2019) - 2018
- [j13]Jana Hutter
Slice-level diffusion encoding for motion and distortion correction. Medical Image Anal. 48: 214-229 (2018) - [j12]Maria Kuklisova-Murgasova
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint. IEEE Trans. Medical Imaging 37(1): 12-19 (2018) - 2017
- [j11]Amir Alansary
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. IEEE Trans. Medical Imaging 36(10): 2031-2044 (2017) - [c19]Jana Hutter
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. MICCAI (1) 2017: 523-531 - 2016
- [c18]Siying Wang, Maria Kuklisova-Murgasova
Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. ISBI 2016: 278-281 - [c17]Maria Murgasova
Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint. ISBI 2016: 1372-1375 - [c16]Bernhard Kainz
High-Performance Motion Correction of Fetal MRI. EuroRV³@EuroVis 2016: 5-7 - [i1]Amir Alansary, Bernhard Kainz, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. CoRR abs/1611.07289 (2016) - 2015
- [j10]Ivana Isgum
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20(1): 135-151 (2015) - [j9]Bernhard Kainz
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. IEEE Trans. Medical Imaging 34(9): 1901-1913 (2015) - [c15]Bernhard Kainz
Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. ISBI 2015: 849-852 - 2014
- [j8]Sabrina Brigadoi
A 4D neonatal head model for diffuse optical imaging of pre-term to term infants. NeuroImage 100: 385-394 (2014) - [j7]Giulio Ferrazzi
Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction. NeuroImage 101: 555-568 (2014) - [j6]Kevin Keraudren, Maria Kuklisova-Murgasova
Automated fetal brain segmentation from 2D MRI slices for motion correction. NeuroImage 101: 633-643 (2014) - [c14]Andreas Schuh
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. STIA 2014: 27-37 - [c13]Bernhard Kainz
Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. MICCAI (2) 2014: 284-291 - 2013
- [j5]Maria Kuklisova-Murgasova
Registration of 3D fetal neurosonography and MRI. Medical Image Anal. 17(8): 1137-1150 (2013) - 2012
- [j4]Maria Kuklisova-Murgasova
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Medical Image Anal. 16(8): 1550-1564 (2012) - [c12]Maria Kuklisova-Murgasova
Towards 3D registration of fetal brain MRI and ultrasound. ISBI 2012: 346-349 - [c11]Maria Kuklisova-Murgasova
Registration of 3D Fetal Brain US and MRI. MICCAI (2) 2012: 667-674 - 2011
- [j3]Maria Kuklisova-Murgasova
A dynamic 4D probabilistic atlas of the developing brain. NeuroImage 54(4): 2750-2763 (2011) - [j2]Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. IEEE Trans. Medical Imaging 30(10): 1746-1759 (2011) - [c10]Ziyue Wu, Maria Murgasova, Andreas Buchmann, Michael von Rhein, Julia A. Schnabel:
Brain Extraction Methods for Neonates. MIUA 2011: 111-116 - 2010
- [c9]Maria Murgasova
Construction of a dynamic 4D probabilistic atlas for the developing brain. ISBI 2010: 952-955 - [c8]Wenzhe Shi, Maria Murgasova
Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration. MIAR 2010: 98-107 - [c7]Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI. MICCAI (3) 2010: 1-8 - [c6]Laurent Risser, François-Xavier Vialard, Maria Murgasova
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. WBIR 2010: 186-197
2000 – 2009
- 2009
- [c5]Maria Murgasova
Robust Segmentation of Brain Structures in MRI. ISBI 2009: 17-20 - 2008
- [j1]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova
Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39(1): 348-358 (2008) - 2007
- [c4]Kanwal K. Bhatia, Paul Aljabar, James P. Boardman
Groupwise Combined Segmentation and Registration for Atlas Construction. MICCAI (1) 2007: 532-540 - [c3]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova
Quantifying brain development in early childhood using segmentation and registration. Medical Imaging: Image Processing 2007: 65120O - [c2]Maria Murgasova
Robust segmentation of brain MRI using combination of registration and EM-based methods. SCCG 2007: 107-114 - 2006
- [c1]Maria Murgasova
Segmentation of Brain MRI in Young Children. MICCAI (1) 2006: 687-694
Coauthor Index
[j23] [j22] [c38] [c37] [j21] [c36] [c35] [c31] [j20] [j19] [c30] [c28] [j18] [c27] [c26] [i3] [j17] [j16] [c25] [c24] [c23] [c22] [j15] [j14] [c21] [c20] [i2] [j13] [j12] [j11] [c19] [c18] [c17] [c16] [i1] [j9] [c15] [j7] [j6] [c14] [c13] [j5] [j4] [c12] [j3] [c9] [c7] [c5] [j1] [c4] [c3] [c2] [c1]
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last updated on 2024-11-07 21:33 CET by the dblp team
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