Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Neuroimage 221, 117128, 2020 | 58 | 2020 |
Deeper image quality transfer: Training low-memory neural networks for 3d images SB Blumberg, R Tanno, I Kokkinos, DC Alexander Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 58 | 2018 |
DeepReg: a deep learning toolkit for medical image registration Y Fu, NM Brown, SU Saeed, A Casamitjana, Z Baum, R Delaunay, ... arXiv preprint arXiv:2011.02580, 2020 | 34 | 2020 |
ABCD neurocognitive prediction challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression A Mihalik, M Brudfors, M Robu, FS Ferreira, H Lin, A Rau, T Wu, ... Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019 | 30 | 2019 |
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia D Ravi, SB Blumberg, S Ingala, F Barkhof, DC Alexander, NP Oxtoby, ... Medical image analysis 75, 102257, 2022 | 24 | 2022 |
Multi-stage prediction networks for data harmonization SB Blumberg, M Palombo, CS Khoo, CMW Tax, R Tanno, DC Alexander Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 23 | 2019 |
Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge M Pizzolato, M Palombo, E Bonet-Carne, CMW Tax, F Grussu, A Ianus, ... Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020 | 22 | 2020 |
Deep learning for low-field to high-field MR: image quality transfer with probabilistic decimation simulator H Lin, M Figini, R Tanno, SB Blumberg, E Kaden, G Ogbole, BJ Brown, ... Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 20 | 2019 |
Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019 | 20 | 2019 |
QuantNet: transferring learning across trading strategies A Koshiyama, SB Blumberg, N Firoozye, P Treleaven, S Flennerhag Quantitative Finance 22 (6), 1071-1090, 2022 | 14* | 2022 |
Learning morphological feature perturbations for calibrated semi-supervised segmentation MC Xu, YK Zhou, C Jin, SB Blumberg, FJ Wilson, M deGroot, ... International Conference on Medical Imaging with Deep Learning, 1413-1429, 2022 | 11 | 2022 |
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology NP Oxtoby, FS Ferreira, A Mihalik, T Wu, M Brudfors, H Lin, A Rau, ... Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019 | 11 | 2019 |
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems YY Oliver Slumbers, David Henry Mguni, Stephen Marcus McAleer, Stefano B ... ICML 2023, 2023 | 8* | 2023 |
Image quality transfer enhances contrast and resolution of low-field brain mri in african paediatric epilepsy patients M Figini, H Lin, G Ogbole, FD Arco, SB Blumberg, DW Carmichael, ... arXiv preprint arXiv:2003.07216, 2020 | 8 | 2020 |
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies S Aja-Fernández, C Martín-Martín, Á Planchuelo-Gómez, A Faiyaz, ... NeuroImage: Clinical 39, 103483, 2023 | 6 | 2023 |
Feasibility of data-driven, model-free quantitative MRI protocol design: Application to brain and prostate diffusion-relaxation imaging F Grussu, SB Blumberg, M Battiston, LS Kakkar, H Lin, A Ianuş, ... Frontiers in Physics 9, 752208, 2021 | 6 | 2021 |
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019 SB Blumberg, M Palombo, CS Khoo, CMW Tax, R Tanno, DC Alexander Springer International Publishing, 2018 | 6 | 2018 |
Low-field magnetic resonance image enhancement via stochastic image quality transfer H Lin, M Figini, F D’Arco, G Ogbole, R Tanno, SB Blumberg, L Ronan, ... Medical Image Analysis 87, 102807, 2023 | 5 | 2023 |
Fitting a directional microstructure model to diffusion-relaxation mri data with self-supervised machine learning JP Lim, SB Blumberg, N Narayan, SC Epstein, DC Alexander, M Palombo, ... International Workshop on Computational Diffusion MRI, 77-88, 2022 | 5 | 2022 |
Progressive Subsampling for Oversampled Data--Application to Quantitative MRI SB Blumberg, H Lin, F Grussu, Y Zhou, M Figini, DC Alexander International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |