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ORCIDSonia Nielles-Vallespin
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2020 – today
- 2024
[c8]Fanwen Wang, Yihao Luo, Ke Wen, Jiahao Huang, Pedro F. Ferreira, Yaqing Luo, Yinzhe Wu, Camila Munoz, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions. MICCAI (2) 2024: 640-650- 2023
- [c7]Ignasi Alemany
, Pedro F. Ferreira, Sonia Nielles-Vallespin, Andrew D. Scott, Denis J. Doorly:
The Effect of Temporal Variations in Myocardial Perfusion on Diffusion Tensor Measurements. FIMH 2023: 54-63 - [c6]Hugo Barbaroux, Michael Loecher, Karl P. Kunze, Radhouène Neji, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young:
Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study. FIMH 2023: 412-421 - [c5]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. SIPAIM 2023: 1-5 - [c4]Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin:
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. STACOM@MICCAI 2023: 293-302 - [i6]Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang:
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR abs/2304.00996 (2023) - [i5]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. CoRR abs/2309.15485 (2023) - [i4]Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging. CoRR abs/2310.20389 (2023) - [i3]Michael Yeung, Todd Watts, Sean YW Tan, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation. CoRR abs/2311.06552 (2023) - 2022
- [c3]Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction. MIUA 2022: 101-115 - [c2]Michael Tänzer, Sea Hee Yook, Pedro F. Ferreira, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal. STACOM@MICCAI 2022: 123-132 - [i2]Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction. CoRR abs/2206.10543 (2022) - [i1]Michael Tänzer, Sea Hee Yook, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal. CoRR abs/2209.09522 (2022)
2000 – 2009
- 2009
- [c1]Hui Xue, Sven Zühlsdorff, Peter Kellman, Andrew E. Arai, Sonia Nielles-Vallespin, Christophe Chefd'Hotel, Christine H. Lorenz, Jens Guehring:
Unsupervised Inline Analysis of Cardiac Perfusion MRI. MICCAI (1) 2009: 741-749
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