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04/26/2023
Low-field magnetic resonance image enhancement via stochastic image quality transfer
Low-field (<1T) magnetic resonance imaging (MRI) scanners remain in wide...
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10/17/2022
Deformably-Scaled Transposed Convolution
Transposed convolution is crucial for generating high-resolution outputs...
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10/13/2022
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization
This paper presents a subsampling-task paradigm for data-driven task-spe...
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10/05/2022
Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning
Machine learning is a powerful approach for fitting microstructural mode...
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03/19/2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
We propose MisMatch, a novel consistency-driven semi-supervised segmenta...
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03/17/2022
Progressive Subsampling for Oversampled Data – Application to Quantitative MRI
We present PROSUB: PROgressive SUBsampling, a deep learning based, autom...
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03/12/2022
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation
Estimating clinically-relevant vascular features following vessel segmen...
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10/23/2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation
The lack of labels is one of the fundamental constraints in deep learnin...
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11/04/2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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04/07/2020
QuantNet: Transferring Learning Across Systematic Trading Strategies
In this work we introduce QuantNet: an architecture that is capable of t...
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03/16/2020
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients
1.5T or 3T scanners are the current standard for clinical MRI, but low-f...
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12/03/2019
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
The recent success of deep learning together with the availability of la...
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09/15/2019
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
MR images scanned at low magnetic field (<1T) have lower resolution in t...
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07/26/2019
Multi-Stage Prediction Networks for Data Harmonization
In this paper, we introduce multi-task learning (MTL) to data harmonizat...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology
We predicted residual fluid intelligence scores from T1-weighted MRI dat...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression
We applied several regression and deep learning methods to predict fluid...
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08/16/2018