Andrew D. Scott

According to our database, Andrew D. Scott authored at least 11 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation.

Michael Yeung, Todd Watts, Sean YW Tan, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang

CoRR, 2023

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging.

Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang

CoRR, 2023

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.

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

CoRR, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.

Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study.

Hugo Barbaroux, Michael Loecher, Karl P. Kunze, Radhouène Neji, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

The Effect of Temporal Variations in Myocardial Perfusion on Diffusion Tensor Measurements.

Ignasi Alemany, Pedro F. Ferreira, Sonia Nielles-Vallespin, Andrew D. Scott, Denis J. Doorly

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction.

Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2013

IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis.

Júlio Trevisan, Plamen P. Angelov, Andrew D. Scott, Paul L. Carmichael, Francis L. Martin

Bioinform., 2013

2012

Integrated in silico approaches for the prediction of Ames test mutagenicity.

Sandeep Modi, Jin Li, Sophie Malcomber, Claire Moore, Andrew D. Scott, Andrew White, Paul L. Carmichael

J. Comput. Aided Mol. Des., 2012