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2020 – today
- 2023
[j78]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)- [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) - [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 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 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]