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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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10/13/2022
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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03/23/2022
Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction
Cone-Beam Computed Tomography (CBCT) has been proven useful in diagnosis...
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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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07/05/2021
Continual Contrastive Self-supervised Learning for Image Classification
For artificial learning systems, continual learning over time from a str...
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04/25/2021
Learning to Address Intra-segment Misclassification in Retinal Imaging
Accurate multi-class segmentation is a long-standing challenge in medica...
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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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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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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
