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2020 – today
- 2025
[j83]Kelly Payette
, Alena Uus, Jordina Aviles Verdera, Megan Hall, Alexia Egloff, Maria Deprez, Raphaël Tomi-Tricot, Joseph V. Hajnal, Mary A. Rutherford, Lisa Story, Jana Hutter:
Fetal body organ T2* relaxometry at low field strength (FOREST). Medical Image Anal. 99: 103352 (2025)- [j82]Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. npj Digit. Medicine 8(1) (2025) - 2024
- [j81]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:
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging 24(1): 52 (2024) - [j80]Diana C. de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V. Hajnal, Daniel C. Alexander, Rebecca J. Shipley, Paddy J. Slator:
A flexible generative algorithm for growing in silico placentas. PLoS Comput. Biol. 20(10): 1012470 (2024) - [c119]Antonia Bortolazzi, Jordina Aviles Verdera, Kelly Payette, Sara Neves Silva, Mary A. Rutherford, Joseph V. Hajnal, Jana Hutter:
Automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans. PIPPI@MICCAI 2024: 82-93 - [c118]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 - [c117]Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. MICCAI (9) 2024: 181-191 - [c116]Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar, Niall J. Bourke, Joseph V. Hajnal, Victoria Nankabirwa, Sean C. L. Deoni, Natasha Leporé, Marius George Linguraru:
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. MICCAI (3) 2024: 444-454 - [c115]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. WBIR 2024: 192-204 - [i22]Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans. CoRR abs/2401.01201 (2024) - [i21]Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. CoRR abs/2403.08550 (2024) - [i20]Denis Prokopenko, David F. A. Lloyd, Amedeo Chiribiri, Daniel Rueckert, Joseph V. Hajnal:
DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI. CoRR abs/2412.15342 (2024) - 2023
- [j79]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Anal. 83: 102639 (2023) - [j78]Robert Wright, Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Fast fetal head compounding from multi-view 3D ultrasound. Medical Image Anal. 89: 102793 (2023) - [j77]Xianqiang Bao, Shuangyi Wang, Lingling Zheng, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode:
SAPM: Self-Adaptive Parallel Manipulator With Pose and Force Adjustment for Robotic Ultrasonography. IEEE Trans. Ind. Electron. 70(10): 10333-10343 (2023) - [j76]Xianqiang Bao, Shuangyi Wang, Lingling Zheng, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode:
A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j75]Lucilio Cordero-Grande, Juan Enrique Ortuño Fisac, Alejandra Aguado del Hoyo, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María J. Ledesma-Carbayo:
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. IEEE Trans. Medical Imaging 42(3): 810-822 (2023) - [c114]Helena S. Sousa, Abi Gartner, Alena Uus, Vanessa Kyriakopoulou, Brigita Ziukaite, Isa Anzak, Jonathan O'Muircheartaigh, Joseph V. Hajnal, Jacques-Donald Tournier, Alexander Hammers, Mary A. Rutherford, Maria Deprez:
A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI. PIPPI@MICCAI 2023: 17-27 - [c113]Alena Uus, Megan Hall, Kelly Payette, Joseph V. Hajnal, Maria Deprez, Mary A. Rutherford, Jana Hutter, Lisa Story:
Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline. PIPPI@MICCAI 2023: 28-38 - [c112]Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal:
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. PIPPI@MICCAI 2023: 64-74 - [c111]Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - [c110]Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. MICCAI (4) 2023: 312-322 - [c109]Kelly Payette, Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story, Maria Deprez, Mary A. Rutherford, Joseph V. Hajnal, Sébastien Ourselin, Raphaël Tomi-Tricot, Jana Hutter:
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. MICCAI (7) 2023: 358-367 - [i19]Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal:
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. CoRR abs/2308.07885 (2023) - 2022
- [j74]Alena Uus, Irina Grigorescu, Milou P. M. van Poppel, Johannes K. Steinweg, Thomas A. Roberts, Mary A. Rutherford, Joseph V. Hajnal, David F. A. Lloyd, Kuberan Pushparajah, Maria Deprez:
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) - [j73]Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, Oliver Gale-Grant, Andreas Schuh, Maximilian Pietsch, Andrew Chew, Nicholas Harper, Shona Falconer, Tanya Poppe, Emer J. Hughes, Jana Hutter, Anthony N. Price, Jacques-Donald Tournier, Lucilio Cordero-Grande, Serena J. Counsell, Daniel Rueckert, Tomoki Arichi, Joseph V. Hajnal, A. David Edwards, Maria Deprez, Dafnis Batalle:
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257: 119319 (2022) - [j72]Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX 17: 100959 (2022) - [c108]Jordina Aviles, Kathleen Colford, Megan Hall, Massimo Marenzana, Alena Uus, Sharon Giles, Philippa Bridgen, Mary A. Rutherford, Shaihan J. Malik, Joseph V. Hajnal, Raphaël Tomi-Tricot, Jana Hutter:
A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field. PIPPI@MICCAI 2022: 13-24 - [c107]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. PIPPI@MICCAI 2022: 71-81 - [c106]Alena Uus, Mohammad-Usamah Ayub, Abi Gartner, Vanessa Kyriakopoulou, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jana Hutter, Lucilio Cordero-Grande, Anthony Price, Dafnis Batalle, Serena J. Counsell, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Maria Deprez:
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. PIPPI@MICCAI 2022: 94-104 - [c105]Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary:
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - [i18]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - [i17]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022) - 2021
- [j71]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Anal. 71: 102045 (2021) - [j70]Maximilian Pietsch, Alison Ho, Alessia Bardanzellu, Aya Mutaz Ahmad Zeidan, Lucy C. Chappell, Joseph V. Hajnal, Mary A. Rutherford, Jana Hutter:
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation. Medical Image Anal. 72: 102145 (2021) - [j69]Maximilian Pietsch, Daan Christiaens, Joseph V. Hajnal, Jacques-Donald Tournier:
dStripe: Slice artefact correction in diffusion MRI via constrained neural network. Medical Image Anal. 74: 102255 (2021) - [j68]Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch, Jana Hutter, Anthony N. Price, Emer J. Hughes, Katy Vecchiato, Maria Deprez, A. David Edwards, Joseph V. Hajnal, Jacques-Donald Tournier:
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. NeuroImage 225: 117437 (2021) - [j67]Ralica Dimitrova, Maximilian Pietsch, Judit Ciarrusta, Sean P. Fitzgibbon, Logan Z. J. Williams, Daan Christiaens, Lucilio Cordero-Grande, Dafnis Batalle, Antonios Makropoulos, Andreas Schuh, Anthony N. Price, Jana Hutter, Rui Pedro A. G. Teixeira, Emer J. Hughes, Andrew Chew, Shona Falconer, Olivia Carney, Alexia Egloff, Jacques-Donald Tournier, Grainne M. McAlonan, Mary A. Rutherford, Serena J. Counsell, Emma C. Robinson, Joseph V. Hajnal, Daniel Rueckert, A. David Edwards, Jonathan O'Muircheartaigh:
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. NeuroImage 243: 118488 (2021) - [j66]Xianqiang Bao, Shuangyi Wang, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode:
A Constant-Force End-Effector With Online Force Adjustment for Robotic Ultrasonography. IEEE Robotics Autom. Lett. 6(2): 2547-2554 (2021) - [c104]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Uncertainty-Aware Deep Learning Based Deformable Registration. UNSURE/PIPPI@MICCAI 2021: 54-63 - [c103]Alena Uus, Jacqueline Matthew, Irina Grigorescu, Samuel Jupp, Lucilio Cordero-Grande, Anthony Price, Emer J. Hughes, Prachi A. Patkee, Vanessa Kyriakopoulou, Robert Wright, Thomas A. Roberts, Jana Hutter, Maximilian Pietsch, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Maria Deprez:
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 - [c102]Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 221-230 - [i16]Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. CoRR abs/2109.06519 (2021) - [i15]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
- [j65]Daan Christiaens, Jelle Veraart, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Jacques-Donald Tournier:
On the need for bundle-specific microstructure kernels in diffusion MRI. NeuroImage 208: 116460 (2020) - [j64]Maria Deprez, Anthony Price, Daan Christiaens, Georgia Lockwood Estrin, Lucilio Cordero-Grande, Jana Hutter, Alessandro Daducci, Jacques-Donald Tournier, Mary A. Rutherford, Serena J. Counsell, Meritxell Bach Cuadra, Joseph V. Hajnal:
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Trans. Medical Imaging 39(4): 1104-1113 (2020) - [j63]Alena Uus, Tong Zhang, Laurence H. Jackson, Thomas A. Roberts, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez:
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI. IEEE Trans. Medical Imaging 39(9): 2750-2759 (2020) - [c101]Alena Uus, Johannes K. Steinweg, Alison Ho, Laurence H. Jackson, Joseph V. Hajnal, Mary A. Rutherford, Maria Deprez, Jana Hutter:
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. ASMUS/PIPPI@MICCAI 2020: 222-232 - [c100]Irina Grigorescu, Lucilio Cordero-Grande, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. ASMUS/PIPPI@MICCAI 2020: 253-263 - [c99]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. ASMUS/PIPPI@MICCAI 2020: 264-273 - [c98]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. MICCAI (6) 2020: 375-385 - [c97]Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert:
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL 2020: 241-261 - [c96]Cesare Magnetti, Veronika A. M. Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Joseph V. Hajnal, Julia A. Schnabel, Alberto Gómez:
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. MIUA 2020: 423-435 - [c95]Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Maria Deprez:
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain. WBIR 2020: 111-121 - [c94]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Diffusion Tensor Driven Image Registration: A Deep Learning Approach. WBIR 2020: 131-140
2010 – 2019
- 2019
- [j62]Matteo Bastiani, Jesper L. R. Andersson, Lucilio Cordero-Grande, Maria Murgasova, Jana Hutter, Anthony N. Price, Antonios Makropoulos, Sean P. Fitzgibbon, Emer J. Hughes, Daniel Rueckert, Suresh Victor, Mary A. Rutherford, A. David Edwards, Stephen M. Smith, Jacques-Donald Tournier, Joseph V. Hajnal, Saâd Jbabdi, Stamatios N. Sotiropoulos:
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage 185: 750-763 (2019) - [j61]Dafnis Batalle, Jonathan O'Muircheartaigh, Antonios Makropoulos, Christopher J. Kelly, Ralica Dimitrova, Emer J. Hughes, Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, A. David Edwards, Serena J. Counsell:
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019) - [j60]Maximilian Pietsch, Daan Christiaens, Jana Hutter, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell, Jacques-Donald Tournier:
A framework for multi-component analysis of diffusion MRI data over the neonatal period. NeuroImage 186: 321-337 (2019) - [j59]Daniel J. West, Rui Pedro A. G. Teixeira, Tobias C. Wood, Joseph V. Hajnal, Jacques-Donald Tournier, Shaihan J. Malik:
Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation. NeuroImage 195: 78-88 (2019) - [j58]Lucilio Cordero-Grande, Daan Christiaens, Jana Hutter, Anthony N. Price, Joseph V. Hajnal:
Complex diffusion-weighted image estimation via matrix recovery under general noise models. NeuroImage 200: 391-404 (2019) - [j57]Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 38(1): 280-290 (2019) - [j56]Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Anthony N. Price, Maria Deprez, Joseph V. Hajnal, Jacques-Donald Tournier:
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. IEEE Trans. Medical Imaging 38(3): 834-843 (2019) - [c93]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. IPMI 2019: 755-766 - [c92]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. MLMIR@MICCAI 2019: 16-24 - [c91]Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. SUSI/PIPPI@MICCAI 2019: 104-112 - [c90]Robert Wright, Nicolas Toussaint, Alberto Gómez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Complete Fetal Head Compounding from Multi-view 3D Ultrasound. MICCAI (3) 2019: 384-392 - [c89]Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. MICCAI (2) 2019: 505-513 - [c88]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. MICCAI (5) 2019: 628-636 - [c87]Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. MICCAI (4) 2019: 704-712 - [c86]Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton, Jacqueline Matthew, Cornelius Tan, Junghwan Back, Lukas Lindenroth, Alberto Gómez, Nicolas Toussaint, Veronika A. M. Zimmer, Caroline Knight, Tara P. Fletcher, David Lloyd, John M. Simpson, Dharmintra Pasupathy, Hongbin Liu, Kaspar Althoefer, Joseph V. Hajnal, Reza Razavi, Kawal S. Rhode:
Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System. TAROS (2) 2019: 27-38 - [i14]Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton, Jacqueline Matthew, Cornelius Tan, Junghwan Back, Lukas Lindenroth, Alberto Gómez, Nicolas Toussaint, Veronika A. M. Zimmer, Caroline Knight, Tara P. Fletcher, David Lloyd, John M. Simpson, Dharmintra Pasupathy, Hongbin Liu, Kaspar Althoefer, Joseph V. Hajnal, Reza Razavi, Kawal S. Rhode:
Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System. CoRR abs/1902.05458 (2019) - [i13]Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Generalising Deep Learning MRI Reconstruction across Different Domains. CoRR abs/1902.10815 (2019) - [i12]Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations. CoRR abs/1907.09425 (2019) - [i11]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) - [i10]Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert:
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR abs/1909.10995 (2019) - [i9]Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert:
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. CoRR abs/1909.11795 (2019) - 2018
- [j55]Jana Hutter, Daan Christiaens, Torben Schneider, Lucilio Cordero-Grande, Paddy Slator, Maria Deprez, Anthony N. Price, Jacques-Donald Tournier, Mary A. Rutherford, Joseph V. Hajnal:
Slice-level diffusion encoding for motion and distortion correction. Medical Image Anal. 48: 214-229 (2018) - [j54]Jelena Bozek, Antonios Makropoulos, Andreas Schuh, Sean P. Fitzgibbon, Robert Wright, Matthew F. Glasser, Timothy S. Coalson, Jonathan O'Muircheartaigh, Jana Hutter, Anthony N. Price, Lucilio Cordero-Grande, Rui Pedro A. G. Teixeira, Emer J. Hughes, Nora Tusor, Kelly Pegoretti Baruteau, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Emma C. Robinson:
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage 179: 11-29 (2018) - [j53]Maria Kuklisova-Murgasova, Georgia Lockwood Estrin, Rita Gouveia Nunes, Shaihan J. Malik, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal:
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint. IEEE Trans. Medical Imaging 37(1): 12-19 (2018) - [j52]Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert:
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 37(2): 491-503 (2018) - [j51]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37(8): 1737-1750 (2018) - [c85]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC 2018: 714-717 - [c84]Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI 2018: 64-71 - [c83]Robert Wright, Bishesh Khanal, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel:
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. DATRA/PIPPI@MICCAI 2018: 149-159 - [c82]Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert:
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. MICCAI (1) 2018: 259-267 - [c81]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) 2018: 756-764 - [i8]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR abs/1804.09102 (2018) - [i7]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. CoRR abs/1805.01026 (2018) - 2017
- [j50]Dafnis Batalle, Emer J. Hughes, Hui Zhang, Jacques-Donald Tournier, Nora Tusor, Paul Aljabar, Luqman Wali, Daniel C. Alexander, Joseph V. Hajnal, Chiara Nosarti, A. David Edwards, Serena J. Counsell:
Early development of structural networks and the impact of prematurity on brain connectivity. NeuroImage 149: 379-392 (2017) - [j49]Diliana Pecheva, Paul A. Yushkevich, Dafnis Batalle, Emer J. Hughes, Paul Aljabar, Julia Wurie, Joseph V. Hajnal, A. David Edwards, Daniel C. Alexander, Serena J. Counsell, Hui Zhang:
A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694 (2017) - [j48]Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert:
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 36(2): 674-683 (2017) - [j47]Amir Alansary, Martin Rajchl, Steven G. McDonagh, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. IEEE Trans. Medical Imaging 36(10): 2031-2044 (2017) - [j46]Haichao Miao, Gabriel Mistelbauer, Alexey Karimov, Amir Alansary, Alice Davidson, David F. A. Lloyd, Mellisa Damodaram, Lisa Story, Jana Hutter, Joseph V. Hajnal, Mary A. Rutherford, Bernhard Preim, Bernhard Kainz, M. Eduard Gröller:
Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. IEEE Trans. Vis. Comput. Graph. 23(6): 1612-1623 (2017) - [c80]Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert:
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. IPMI 2017: 647-658 - [c79]Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes K. Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert:
A deformable model for the reconstruction of the neonatal cortex. ISBI 2017: 800-803 - [c78]Steven G. McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz:
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI 2017: 116-126 - [c77]Benjamin Hou, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. MICCAI (2) 2017: 296-304 - [c76]Jana Hutter, Daan Christiaens, Maria Deprez, Lucilio Cordero-Grande, Paddy Slator, Anthony Price, Mary A. Rutherford, Joseph V. Hajnal:
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. MICCAI (1) 2017: 523-531 - [i6]Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz:
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR abs/1703.00035 (2017) - [i5]Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert:
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. CoRR abs/1703.00555 (2017) - [i4]Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert:
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. CoRR abs/1704.02422 (2017) - [i3]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. CoRR abs/1709.06341 (2017) - [i2]Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. CoRR abs/1712.01751 (2017) - 2016
- [j45]Gareth Ball, Paul Aljabar, Tomoki Arichi, Nora Tusor, D. Cox, Nazakat Merchant, P. Nongena, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell:
Machine-learning to characterise neonatal functional connectivity in the preterm brain. NeuroImage 124: 267-275 (2016) - [j44]Antonios Makropoulos, Paul Aljabar, Robert Wright, Britta Hüning, Nazakat Merchant, Tomoki Arichi, Nora Tusor, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert:
Regional growth and atlasing of the developing human brain. NeuroImage 125: 456-478 (2016) - [j43]Giulio Ferrazzi, Rita Gouveia Nunes, Tomoki Arichi, Andreia S. Gaspar, Giovanni Barone, Alessandro Allievi, Serge Vasylechko, Maryam Abaei, Emer J. Hughes, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal:
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer TE without loss of temporal efficiency. NeuroImage 127: 298-306 (2016) - [j42]Lucilio Cordero-Grande, Rui Pedro A. G. Teixeira, Emer J. Hughes, Jana Hutter, Anthony N. Price, Joseph V. Hajnal:
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction. IEEE Trans. Computational Imaging 2(3): 266-280 (2016) - [c75]Siying Wang, Maria Kuklisova-Murgasova, Joseph V. Hajnal, Christian Ledig, Julia A. Schnabel:
Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. ISBI 2016: 278-281 - [c74]Maria Murgasova, Georgia Lockwood Estrin, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal:
Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint. ISBI 2016: 1372-1375 - [c73]Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz:
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. MICCAI (2) 2016: 589-597 - [c72]Bernhard Kainz, David F. A. Lloyd, Amir Alansary, Maria Kuklisova-Murgasova, Rostislav Khlebnikov, Daniel Rueckert, Mary A. Rutherford, Reza Razavi, Joseph V. Hajnal:
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
- [j41]Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert:
Discriminative dictionary learning for abdominal multi-organ segmentation. Medical Image Anal. 23(1): 92-104 (2015) - [j40]Robert Wright, Antonios Makropoulos, Vanessa Kyriakopoulou, Prachi A. Patkee, Lisa M. Koch, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar:
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. NeuroImage 120: 467-480 (2015) - [j39]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:
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. IEEE Trans. Medical Imaging 34(9): 1901-1913 (2015) - [c71]Amir Alansary, Matthew C. H. Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert:
Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. MLMMI@ICML 2015: 13-22 - [c70]Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. ISBI 2015: 849-852 - [c69]Veronika A. M. Zimmer, Ben Glocker, Paul Aljabar, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Miguel Ángel González Ballester, Daniel Rueckert, Gemma Piella:
Learning and Combining Image Similarities for Neonatal Brain Population Studies. MLMI 2015: 110-117 - [c68]Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert:
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. MICCAI (3) 2015: 510-518 - [c67]Bernhard Kainz, Amir Alansary, Christina Malamateniou, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. MICCAI (2) 2015: 555-562 - [c66]Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. MICCAI (3) 2015: 620-627 - [c65]Christopher Bowles, Niamh C. Nowlan, Tayyib T. A. Hayat, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. Image Processing 2015: 94130N - 2014
- [j38]Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, Daniel Rueckert:
Multiple instance learning for classification of dementia in brain MRI. Medical Image Anal. 18(5): 808-818 (2014) - [j37]Robert Wright, Vanessa Kyriakopoulou, Christian Ledig, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar:
Automatic quantification of normal cortical folding patterns from fetal brain MRI. NeuroImage 91: 21-32 (2014) - [j36]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:
Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction. NeuroImage 101: 555-568 (2014) - [j35]Kevin Keraudren, Maria Kuklisova-Murgasova, Vanessa Kyriakopoulou, Christina Malamateniou, Mary A. Rutherford, Bernhard Kainz, Joseph V. Hajnal, Daniel Rueckert:
Automated fetal brain segmentation from 2D MRI slices for motion correction. NeuroImage 101: 633-643 (2014) - [j34]Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert:
Hierarchical Manifold Learning for Regional Image Analysis. IEEE Trans. Medical Imaging 33(2): 444-461 (2014) - [j33]Jose Caballero, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal:
Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction. IEEE Trans. Medical Imaging 33(4): 979-994 (2014) - [j32]Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig, Paul Aljabar, Ahmed Serag, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert:
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain. IEEE Trans. Medical Imaging 33(9): 1818-1831 (2014) - [c64]Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert:
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. ISBI 2014: 947-950 - [c63]Bernhard Kainz, Kevin Keraudren, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors. ISBI 2014: 1230-1233 - [c62]Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert:
Graph-Based Label Propagation in Fetal Brain MR Images. MLMI 2014: 9-16 - [c61]Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert:
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. STIA 2014: 27-37 - [c60]Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal:
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. MICCAI (1) 2014: 106-113 - [c59]Bernhard Kainz, Christina Malamateniou, Maria Murgasova, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. MICCAI (2) 2014: 284-291 - 2013
- [j31]Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel:
Registration of 3D fetal neurosonography and MRI. Medical Image Anal. 17(8): 1137-1150 (2013) - [j30]Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert:
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling. NeuroImage 76: 11-23 (2013) - [c58]Martin Jantsch, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal:
3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction. ISBI 2013: 812-815 - [c57]Markus Schirmer, Gareth Ball, Serena J. Counsell, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar:
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches. MICCAI (1) 2013: 574-581 - [c56]Kevin Keraudren, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Localisation of the Brain in Fetal MRI Using Bundled SIFT Features. MICCAI (1) 2013: 582-589 - [c55]Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert:
Multiple Instance Learning for Classification of Dementia in Brain MRI. MICCAI (2) 2013: 599-606 - 2012
- [j29]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Nonlinear dimensionality reduction combining MR imaging with non-imaging information. Medical Image Anal. 16(4): 819-830 (2012) - [j28]Maria Kuklisova-Murgasova, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, Julia A. Schnabel:
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Medical Image Anal. 16(8): 1550-1564 (2012) - [j27]Eve H. Limbrick-Oldfield, Jonathan C. W. Brooks, Richard J. S. Wise, Francesco Padormo, Joseph V. Hajnal, Christian F. Beckmann, Mark A. Ungless:
Identification and characterisation of midbrain nuclei using optimised functional magnetic resonance imaging. NeuroImage 59(2): 1230-1238 (2012) - [j26]Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J. Counsell, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. NeuroImage 59(3): 2255-2265 (2012) - [j25]Ioannis S. Gousias, A. David Edwards, Mary A. Rutherford, Serena J. Counsell, Joseph V. Hajnal, Daniel Rueckert, Alexander Hammers:
Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants. NeuroImage 62(3): 1499-1509 (2012) - [j24]Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J. Counsell, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265]. NeuroImage 63(2): 998 (2012) - [j23]Emer J. Hughes, Jacqueline Bond, Patricia Svrckova, Antonios Makropoulos, Gareth Ball, David J. Sharp, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell:
Regional changes in thalamic shape and volume with increasing age. NeuroImage 63(3): 1134-1142 (2012) - [c54]Martin Jantsch, Daniel Rueckert, Joseph V. Hajnal:
4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction. ICCSW 2012: 69-74 - [c53]Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert:
LISA: Longitudinal image registration via spatio-temporal atlases. ISBI 2012: 334-337 - [c52]Maria Kuklisova-Murgasova, Gerardine Quaghebeur, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel:
Towards 3D registration of fetal brain MRI and ultrasound. ISBI 2012: 346-349 - [c51]Ahmed Serag, Ioannis S. Gousias, Antonios Makropoulos, Paul Aljabar, Joseph V. Hajnal, James P. Boardman, Serena J. Counsell, Daniel Rueckert:
Unsupervised Learning of Shape Complexity: Application to Brain Development. STIA 2012: 88-99 - [c50]Jose Caballero, Daniel Rueckert, Joseph V. Hajnal:
Dictionary Learning and Time Sparsity in Dynamic MRI. MICCAI (1) 2012: 256-263 - [c49]Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert:
Hierarchical Manifold Learning. MICCAI (1) 2012: 512-519 - [c48]Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Localised manifold learning for cardiac image analysis. Image Processing 2012: 83140H - 2011
- [j22]Maria Kuklisova-Murgasova, Paul Aljabar, Latha Srinivasan, Serena J. Counsell, Valentina Doria, Ahmed Serag, Ioannis S. Gousias, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
A dynamic 4D probabilistic atlas of the developing brain. NeuroImage 54(4): 2750-2763 (2011) - [j21]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
Automatic morphometry in Alzheimer's disease and mild cognitive impairment. NeuroImage 56(4): 2024-2037 (2011) - [j20]Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development. IEEE Trans. Medical Imaging 30(12): 2072-2086 (2011) - [c47]Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert:
Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI. ISBI 2011: 349-352 - [c46]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment. ISBI 2011: 875-878 - [c45]Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert:
Construction of a 4D atlas of the developing brain using non-rigid registration. ISBI 2011: 1532-1535 - [c44]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold learning combining imaging with non-imaging information. ISBI 2011: 1637-1640 - [c43]Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert:
A Four-dimensional Atlas of Neonatal Brain MRI. MIUA 2011: 201-206 - [c42]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold-based classification incorporating subject metadata. MIUA 2011: 357-362 - 2010
- [j19]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert:
LEAP: Learning embeddings for atlas propagation. NeuroImage 49(2): 1316-1325 (2010) - [j18]Shiva Keihaninejad, Rolf A. Heckemann, Gianlorenzo Fagiolo, Mark R. Symms, Joseph V. Hajnal, Alexander Hammers:
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T). NeuroImage 50(4): 1427-1437 (2010) - [j17]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. NeuroImage 51(1): 221-227 (2010) - [j16]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI. NeuroImage 52(1): 109-118 (2010) - [c41]Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert, Alexander Hammers:
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy. ISBI 2010: 105-108 - [c40]Maria Murgasova, Latha Srinivasan, Ioannis S. Gousias, Paul Aljabar, Joseph V. Hajnal, A. David Edwards, Daniel Rueckert:
Construction of a dynamic 4D probabilistic atlas for the developing brain. ISBI 2010: 952-955 - [c39]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. ISBI 2010: 960-963 - [c38]Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell, James P. Boardman, Maria Murgasova, Valentina Doria, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal:
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI. MICCAI (3) 2010: 1-8 - [c37]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert:
Manifold Learning for Biomarker Discovery in MR Imaging. MLMI 2010: 116-123
2000 – 2009
- 2009
- [j15]Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Paul Aljabar, Derek L. G. Hill, Lorna Tilling, Neil Upton, Michael F. James, Joseph V. Hajnal, Daniel Rueckert:
Analysis of serial magnetic resonance images of mouse brains using image registration. NeuroImage 44(3): 692-700 (2009) - [j14]Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert:
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy. NeuroImage 46(3): 726-738 (2009) - [c36]Maria Murgasova, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
Robust Segmentation of Brain Structures in MRI. ISBI 2009: 17-20 - [c35]Rolf A. Heckemann, Alexander Hammers, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal:
The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation. ISBI 2009: 1191-1194 - [c34]Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Daniel Rueckert, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers:
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan. Image Processing 2009: 72591A - 2008
- [j13]Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert, Richard I. Aviv, Christopher J. Harvey, Joseph V. Hajnal:
Automatic volumetry on MR brain images can support diagnostic decision making. BMC Medical Imaging 8: 9 (2008) - [j12]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Daniel Rueckert:
Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39(1): 348-358 (2008) - [c33]Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Thomas Hartkens, Derek L. G. Hill, Lorna Tilling, Neil Upton, Michael F. James, Joseph V. Hajnal, Daniel Rueckert:
Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images. ISBI 2008: 1107-1110 - [c32]Hui Xue, Jens Guehring, Latha Srinivasan, Sven Zühlsdorff, Kinda Anna Saddi, Christophe Chefd'Hotel, Joseph V. Hajnal, Daniel Rueckert:
Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. MICCAI (2) 2008: 35-43 - 2007
- [j11]Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert:
A multivariate statistical analysis of the developing human brain in preterm infants. Image Vis. Comput. 25(6): 981-994 (2007) - [j10]Serena J. Counsell, Leigh Dyet, David J. Larkman, Rita Gouveia Nunes, James P. Boardman, Joanna M. Allsop, Julie Fitzpatrick, Latha Srinivasan, Frances M. Cowan, Joseph V. Hajnal, Mary A. Rutherford, A. David Edwards:
Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography. NeuroImage 34(3): 896-904 (2007) - [j9]Mustafa Anjari, Latha Srinivasan, Joanna M. Allsop, Joseph V. Hajnal, Mary A. Rutherford, A. David Edwards, Serena J. Counsell:
Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants. NeuroImage 35(3): 1021-1027 (2007) - [j8]Alexander Hammers, Rolf A. Heckemann, Matthias J. Koepp, John S. Duncan, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar:
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study. NeuroImage 36(1): 38-47 (2007) - [j7]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal:
Automatic segmentation and reconstruction of the cortex from neonatal MRI. NeuroImage 38(3): 461-477 (2007) - [j6]Shuzhou Jiang, Hui Xue, Alan Glover, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal:
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies. IEEE Trans. Medical Imaging 26(7): 967-980 (2007) - [c31]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal:
Automatic Cortical Segmentation in the Developing Brain. IPMI 2007: 257-269 - [c30]Shuzhou Jiang, Hui Xue, Serena J. Counsell, Mustafa Anjari, Joanna M. Allsop, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal:
In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging. MICCAI (1) 2007: 18-26 - [c29]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal:
Longitudinal Cortical Registration for Developing Neonates. MICCAI (2) 2007: 127-135 - [c28]Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert:
Classifier Selection Strategies for Label Fusion Using Large Atlas Databases. MICCAI (1) 2007: 523-531 - [c27]Kanwal K. Bhatia, Paul Aljabar, James P. Boardman, Latha Srinivasan, Maria Murgasova, Serena J. Counsell, Mary A. Rutherford, Joseph V. Hajnal, A. David Edwards, Daniel Rueckert:
Groupwise Combined Segmentation and Registration for Atlas Construction. MICCAI (1) 2007: 532-540 - [c26]Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert:
Similarity Metrics for Groupwise Non-rigid Registration. MICCAI (2) 2007: 544-552 - [c25]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Daniel Rueckert:
Quantifying brain development in early childhood using segmentation and registration. Image Processing 2007: 65120O - [c24]Claudia Prieto, Marcello Guarini, Joseph V. Hajnal, Pablo Irarrazaval:
Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI. PSIVT 2007: 522-532 - [c23]Maria Murgasova, Leigh Dyet, Joseph V. Hajnal, Mary A. Rutherford, A. David Edwards, Daniel Rueckert:
Robust segmentation of brain MRI using combination of registration and EM-based methods. SCCG 2007: 107-114 - 2006
- [j5]James P. Boardman, Serena J. Counsell, Daniel Rueckert, Olga Kapellou, Kanwal K. Bhatia, Paul Aljabar, Joseph V. Hajnal, Joanna M. Allsop, Mary A. Rutherford, A. David Edwards:
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. NeuroImage 32(1): 70-78 (2006) - [j4]Christina Malamateniou, Serena J. Counsell, Joanna M. Allsop, Julie Fitzpatrick, Latha Srinivasan, Frances M. Cowan, Joseph V. Hajnal, Mary A. Rutherford:
The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla. NeuroImage 32(3): 1050-1059 (2006) - [j3]Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers:
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 33(1): 115-126 (2006) - [j2]Kelvin K. Leung, Mark Holden, Nadeem Saeed, K. J. Brooks, J. B. Buckton, A. A. Williams, Simon P. Campbell, Kumar Changani, D. G. Reid, Y. Zhao, Michael Wilde, Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill:
Automatic Quantification of Changes in Bone in Serial MR Images of Joints. IEEE Trans. Medical Imaging 25(12): 1617-1626 (2006) - [c22]John R. Geddes, Clare E. Mackay, Sharon Lloyd, Andrew Simpson, David J. Power, Douglas Russell, Mila Katzarova, Martin Rossor, Nick C. Fox, Jonathon Fletcher, Derek L. G. Hill, Kate McLeish, Joseph V. Hajnal, Stephen M. Lawrie, Dominic Job, Andrew M. McIntosh, Joanna M. Wardlaw, Peter Sandercock, Jeb Palmer, Dave Perry, Rob Procter, Jenny Ure, Philip Bath, Graham Watson:
The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. CBMS 2006: 81-86 - [c21]Daniel Rueckert, Raghavendra Chandrashekara, Paul Aljabar, Kanwal K. Bhatia, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Joseph V. Hajnal, Raad Mohiaddin:
Quantification of Growth and Motion Using Non-rigid Registration. CVAMIA 2006: 49-60 - [c20]John R. Geddes, Clare E. Mackay, Sharon Lloyd, Andrew C. Simpson, David J. Power, Douglas Russell, Marina Jirotka, Mila Katzarova, Martin Rossor, Nick C. Fox, Jonathon Fletcher, Derek L. G. Hill, Kate McLeish, Yu Chen, Joseph V. Hajnal, Stephen M. Lawrie, Dominic Job, Andrew M. McIntosh, Joanna M. Wardlaw, Peter Sandercock, Jeb Palmer, Dave Perry, Rob Procter, Jenny Ure, Mark Hartswood, Roger Slack, Alex Voss, Kate Ho, Philip Bath, Wim Clarke, Graham Watson:
Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems. HealthGrid 2006: 336-347 - [c19]Hui Xue, Christina Malamateniou, Joanna M. Allsop, Latha Srinivasan, Joseph V. Hajnal, Daniel Rueckert:
Automatic extraction and matching of neonatal cerebral vasculature. ISBI 2006: 125-128 - [c18]Paul Aljabar, Kanwal K. Bhatia, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Dyet Dyet, A. David Edwards, Daniel Rueckert:
Analysis of growth in the developing brain using non-rigid registration. ISBI 2006: 201-204 - [c17]Shuzhou Jiang, Hui Xue, Alan Glover, Mary A. Rutherford, Joseph V. Hajnal:
A novel approach to accurate 3D high resolution and high SNR fetal brain imaging. ISBI 2006: 662-665 - [c16]Maria Murgasova, Leigh Dyet, A. David Edwards, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Segmentation of Brain MRI in Young Children. MICCAI (1) 2006: 687-694 - [c15]Daniel Rueckert, Paul Aljabar, Rolf A. Heckemann, Joseph V. Hajnal, Alexander Hammers:
Diffeomorphic Registration Using B-Splines. MICCAI (2) 2006: 702-709 - [c14]Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers:
Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence. MICCAI (2) 2006: 815-822 - [c13]Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert:
A whole brain morphometric analysis of changes associated with pre-term birth. Image Processing 2006: 61445Y - [c12]Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Thomas Hartkens, Derek L. G. Hill, Michael F. James, Lorna Tilling, Neil Upton, Joseph V. Hajnal, Daniel Rueckert:
Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains. WBIR 2006: 58-65 - 2005
- [c11]John R. Geddes, Sharon Lloyd, Andrew Simpson, Martin Rossor, Nick C. Fox, Derek L. G. Hill, Joseph V. Hajnal, Stephen M. Lawrie, Andrew M. McIntosh, Eve C. Johnstone, Joanna M. Wardlaw, Dave Perry, Rob Procter, Philip Bath, Edward T. Bullmore:
NeuroGrid: Using Grid Technology to Advance Neuroscience. CBMS 2005: 570-572 - [c10]Paul Aljabar, Joseph V. Hajnal, Richard G. Boyes, Daniel Rueckert:
Interpolation Artefacts in Non-rigid Registration. MICCAI (2) 2005: 247-254 - [c9]Rolf A. Heckemann, Joseph V. Hajnal, Daniel Rueckert, Derek L. G. Hill, Alexander Hammers:
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation. Image Processing 2005 - [c8]Jinsong Ren, Beatrix I. Sneller, Daniel Rueckert, Joseph V. Hajnal, Rolf A. Heckemann, Stephen M. Smith, John Vickers, Derek L. G. Hill:
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation. Image Processing 2005 - 2004
- [j1]Anil Rao, Raghavendra Chandrashekara, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Paul Aljabar, Joseph V. Hajnal, Basant K. Puri, Daniel Rueckert:
Spatial transformation of motion and deformation fields using nonrigid registration. IEEE Trans. Medical Imaging 23(9): 1065-1076 (2004) - [c7]Kelvin K. Leung, Derek L. G. Hill, Rolf A. Heckemann, Daniel Rueckert, Joseph V. Hajnal, Nadeem Saeed, Keith Brooks, Jacky Buckton, Kumar Changani, David Reid:
Analysis of Serial MR Images of Joints. ISBI 2004: 221-224 - [c6]Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri, A. David Edwards, Daniel Rueckert:
Consistent Groupwise Non-Rigid Registration for Atlas Construction. ISBI 2004: 908-911 - [c5]Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert:
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images. MICCAI (1) 2004: 291-300 - [c4]David Atkinson, David J. Larkman, Philipp G. Batchelor, Derek L. G. Hill, Joseph V. Hajnal:
Multiple Coils for Reduction of Flow Artefacts in MR Images. MICCAI (2) 2004: 1097-1098 - 2003
- [c3]James P. Boardman, Kanwal K. Bhatia, Serena J. Counsell, Joanna M. Allsop, Olga Kapellou, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert:
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. MICCAI (1) 2003: 697-704 - 2002
- [c2]Derek L. G. Hill, Joseph V. Hajnal, Daniel Rueckert, Stephen M. Smith, Thomas Hartkens, Kate McLeish:
A Dynamic Brain Atlas. MICCAI (1) 2002: 532-539
1990 – 1999
- 1999
- [c1]Hava Lester, Simon R. Arridge, Kalvis M. Jansons, Louis Lemieux, Joseph V. Hajnal, Anjela Oatridge:
Non-linear Registration with the Variable Viscosity Fluid Algorithm. IPMI 1999: 238-251
Coauthor Index
[j50] [j49] [j45] [j44] [j40] [j39] [c69] [j37] [j36] [j32] [c62] [c61] [c57] [j29] [j26] [j24] [c53] [c51] [j22] [j21] [j20] [c47] [c46] [c45] [c44] [c43] [c42] [j19] [j17] [j16] [c41] [c40] [c39] [c38] [c37] [j15] [j14] [c35] [c34] [j12] [j8] [c28] [c27] [c25] [j5] [j3] [c21] [c18] [c15] [c14] [c10] [j1]
[j83] [j81] [c118] [c115] [j75] [c114] [c113] [c109] [j74] [j73] [c107] [c106] [j68] [c104] [c103] [i15] [j64] [j63] [c101] [c100] [c95] [c94] [j62] [j56] [c92] [c91] [i11] [j55] [j53] [j47] [c76] [c75] [c74] [c72] [i1] [j39] [c70] [j36] [j35] [c61] [c59] [j31] [j28] [c52] [j22] [c40] [c38] [c36] [j12] [c27] [c25] [c23] [c16]
[c115] [j73] [c107] [c106] [i18] [j68] [j67] [c104] [c103] [c102] [c100] [c97] [c95] [c94] [j62] [j61] [j60] [c91] [j54] [j50] [j49] [j45] [j44] [c69] [j32] [c57] [j26] [j25] [j24] [j23] [j22] [j20] [c40] [c38] [c36] [j12] [j11] [j10] [j9] [j7] [c31] [c29] [c27] [c25] [c23] [j5] [c21] [c18] [c16] [c13] [c6] [c3]
David Lloyd 0003
aka: David F. A. Lloyd
aka: David F. A. Lloyd
Anthony N. Price
aka: Anthony Price
aka: Anthony Price
[c117] [i21] [i20] [j79] [j78] [c112] [c111] [c110] [i19] [j73] [c105] [i18] [i17] [j67] [c102] [c97] [j62] [j57] [c90] [c89] [c87] [i13] [i12] [i10] [i9] [j53] [j52] [j51] [c85] [c84] [c83] [c82] [c81] [i8] [i7] [j48] [j47] [c80] [c79] [c77] [i5] [i4] [i3] [i2] [j44] [j43] [c74] [c73] [c72] [i1] [j41] [j40] [j39] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [j38] [j37] [j35] [j34] [j33] [j32] [c64] [c63] [c62] [c61] [c60] [c59] [j30] [c58] [c57] [c56] [c55] [j29] [j26] [j25] [j24] [c54] [c53] [c51] [c50] [c49] [c48] [j22] [j21] [j20] [c47] [c46] [c45] [c44] [c43] [c42] [j19] [j17] [j16] [c41] [c40] [c39] [c37] [j15] [j14] [c36] [c35] [c34] [j13] [j12] [c33] [c32] [j11] [j8] [j7] [j6] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [j5] [j3] [j2] [c21] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [c3] [c2]
[j83] [j81] [c119] [c118] [c114] [c113] [c109] [j74] [c108] [c106] [j71] [j70] [j67] [c103] [j64] [j63] [c101] [c98] [c97] [j62] [c93] [c92] [i11] [j55] [j54] [j53] [j51] [j48] [j47] [j46] [c78] [c77] [c76] [i6] [i3] [c74] [c73] [c72] [i1] [j40] [j39] [c71] [c70] [c69] [c67] [c66] [c65] [j37] [j36] [j35] [c63] [c62] [c59] [j31] [c56] [j28] [j26] [j25] [j24] [j22] [j20] [c38] [j12] [j11] [j10] [j9] [j7] [j6] [c31] [c30] [c29] [c27] [c25] [c23] [j5] [j4] [c21] [c18] [c17] [c16] [c13] [c5] [c3]
Veronika A. M. Zimmer
aka: Veronika A. Zimmer
aka: Veronika A. Zimmer
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