Stefano B. Blumberg
Stefano B. Blumberg
Подтвержден адрес электронной почты в домене ucl.ac.uk
Название
Процитировано
Процитировано
Год
Deeper image quality transfer: Training low-memory neural networks for 3d images
SB Blumberg, R Tanno, I Kokkinos, DC Alexander
International Conference on Medical Image Computing and Computer-Assisted …, 2018
342018
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
122019
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
112020
Multi-stage prediction networks for data harmonization
SB Blumberg, M Palombo, CS Khoo, CMW Tax, R Tanno, DC Alexander
International Conference on Medical Image Computing and Computer-Assisted …, 2019
112019
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
102019
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
62020
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, 195-208, 2020
62020
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, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2019
62019
Quantnet: Transferring learning across systematic trading strategies
A Koshiyama, S Flennerhag, SB Blumberg, N Firoozye, P Treleaven
arXiv preprint arXiv:2004.03445, 2020
32020
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
32020
Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results
L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ...
Proceedings of the International Society for Magnetic Resonance in Medicine …, 2019
32019
" Select and retrieve via direct upsampling" network (SARDU-Net): a data-driven, model-free, deep learning approach for quantitative MRI protocol design
F Grussu, SB Blumberg, M Battiston, LS Kakkar, H Lin, A Ianus, ...
bioRxiv, 2020
22020
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
12020
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
D Ravi, SB Blumberg, DC Alexander, NP Oxtoby
arXiv e-prints, arXiv: 1912.01526, 2019
12019
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
12019
Disease knowledge transfer across neurodegenerative diseases
RV Marinescu, M Lorenzi, SB Blumberg, AL Young, P Planell-Morell, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
12019
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
arXiv preprint arXiv:1912.01526, 2019
2019
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Статьи 1–17