activity
20182023
most citedDeepReg: a deep learning toolkit for medical image registration

47 citations · 122 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

eess.IV2019

Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia

Daniele Ravi, Stefano B. Blumberg, Silvia Ingala +3

Accurate and realistic simulation of high-dimensional medical images has become an important research area relevant to many AI-enabled healthcare applications. However, current sta…

eess.IV2019★ 2 cited

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator

Hongxiang Lin, Matteo Figini, Ryutaro Tanno +10

MR images scanned at low magnetic field (T) have lower resolution in the slice direction and lower contrast, due to a relatively small signal-to-noise ratio (SNR) than those fr…

cs.LG2019

Multi-Stage Prediction Networks for Data Harmonization

Stefano B. Blumberg, Marco Palombo, Can Son Khoo +3

In this paper, we introduce multi-task learning (MTL) to data harmonization (DH); where we aim to harmonize images across different acquisition platforms and sites. This allows us…

q-bio.NC2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology

Neil P. Oxtoby, Fabio S. Ferreira, Agoston Mihalik +12

We predicted residual fluid intelligence scores from T1-weighted MRI data available as part of the ABCD NP Challenge 2019, using morphological similarity of grey-matter regions acr…

q-bio.NC2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression

Agoston Mihalik, Mikael Brudfors, Maria Robu +12

We applied several regression and deep learning methods to predict fluid intelligence scores from T1-weighted MRI scans as part of the ABCD Neurocognitive Prediction Challenge (ABC…

cs.LG2019

Disease Knowledge Transfer across Neurodegenerative Diseases

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg +8

We introduce Disease Knowledge Transfer (DKT), a novel technique for transferring biomarker information between related neurodegenerative diseases. DKT infers robust multimodal bio…