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Stefano B. Blumberg
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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
582018
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
552020
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
332020
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
302019
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
242022
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
232019
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
222020
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
202019
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
192019
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
112022
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
112019
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
82020
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
7*2023
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
62023
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
62021
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
62018
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
52023
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
52022
SARDU-Net: a new method for model-free, data-driven experiment design in quantitative MRI
F Grussu, S Blumberg, M Battiston, A Ianus, S Singh, F Gong, H Whitaker, ...
Proceedings of the ISMRM, 1035, 2020
52020
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