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Andrew D. Scott
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Journal Articles
- 2013
- [j2]Júlio Trevisan, Plamen P. Angelov, Andrew D. Scott, Paul L. Carmichael, Francis L. Martin:
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis. Bioinform. 29(8): 1095-1097 (2013) - 2012
- [j1]Sandeep Modi, Jin Li, Sophie Malcomber, Claire Moore, Andrew D. Scott, Andrew White, Paul L. Carmichael:
Integrated in silico approaches for the prediction of Ames test mutagenicity. J. Comput. Aided Mol. Des. 26(9): 1017-1033 (2012)
Conference and Workshop Papers
- 2024
- [c6]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
- [c5]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 - [c4]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 - [c3]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 - 2022
- [c2]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 - 2018
- [c1]Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert:
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. MICCAI (1) 2018: 295-303
Informal and Other Publications
- 2023
- [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
- [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) - 2018
- [i1]Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert:
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. CoRR abs/1805.12064 (2018)
Coauthor Index
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