Stefano B. Blumberg

32 papers A* 2Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement.
Medical Image Anal.
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
2024 A* conf
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection.
ICLR
Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander
2023 A* conf
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems.
ICML
Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
2023 J jnl
Low-field magnetic resonance image enhancement via stochastic image quality transfer.
CoRR
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2023 J jnl
Low-field magnetic resonance image enhancement via stochastic image quality transfer.
Medical Image Anal.
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2022 J jnl
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization.
CoRR
Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander
2022 J jnl
Deformably-Scaled Transposed Convolution.
CoRR
Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander
2022 J jnl
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal.
Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby
2022 J jnl
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning.
CoRR
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022 — conf
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning.
CDMRI@MICCAI
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator
2022 — conf
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
MIDL
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 J jnl
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 — conf
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
MICCAI (6)
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2022 J jnl
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
CoRR
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander
2022 J jnl
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 J jnl
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage
Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
CoRR
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw.
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
2020 J jnl
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.
CoRR
Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2020 J jnl
QuantNet: Transferring Learning Across Systematic Trading Strategies.
CoRR
Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven
2019 — conf
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
ABCD-NP@MICCAI
Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby
2019 — conf
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
ABCD-NP@MICCAI
Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda
2019 — conf
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
MLMIR@MICCAI
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2019 J jnl
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
CoRR
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2019 J jnl
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR
Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby
2019 — conf
Disease Knowledge Transfer Across Neurodegenerative Diseases.
MICCAI (2)
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander
2019 J jnl
Disease Knowledge Transfer across Neurodegenerative Diseases.
CoRR
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander
2019 J jnl
Multi-Stage Prediction Networks for Data Harmonization.
CoRR
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2019 — conf
Multi-stage Prediction Networks for Data Harmonization.
MICCAI (4)
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
2018 — conf
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
MICCAI (1)
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
2018 J jnl
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images.
CoRR
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander