1 citations · 1 across the 6 of their papers we have counts for
8 papers
Concordance Plausibility Check for Intervention-Conditioned Human Digital Twins
Saeed Farzi, Christopher Kipps, John McBeth +7
Intervention-conditioned human digital twins predict treatment alternatives that cannot be observed in the same patient. Ordinary predictive accuracy therefore cannot establish cou…
Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
Yinyu Huang, Yilin Zhang, Sofia Michopoulou +2
Alzheimer's disease (AD) progression is highly heterogeneous and is typically observed through sparse and irregular longitudinal data, posing challenges for prediction and personal…
From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder
Yilin Zhang, Nicholas C. Harvey, Nicholas R. Fuggle +1
Dual-energy X-ray absorptiometry (DXA) is widely used for large-scale skeletal assessment, yet learning controllable and interpretable factor-specific anatomical variation remains…
Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
Alberto Tamajo, Srinandan Dasmahapatra, Rahman Attar
Neural networks suffer from catastrophic forgetting in class-incremental learning (CIL) settings. Rehearsal$\unicode{x2013}$replaying a subset of past samples$\unicode{x2013}$is a…
XAttn-BMD: Multimodal Deep Learning with Cross-Attention for Femoral Neck Bone Mineral Density Estimation
Yilin Zhang, Leo D. Westbury, Elaine M. Dennison +3
Poor bone health is a significant public health concern, and low bone mineral density (BMD) leads to an increased fracture risk, a key feature of osteoporosis. We present XAttn-BMD…
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
Rahman Attar, Marco Pereanez, Christopher Bowles +4
Large prospective epidemiological studies acquire cardiovascular magnetic resonance (CMR) images for pre-symptomatic populations and follow these over time. To support this approac…
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
Rahman Attar, Marco Pereanez, Ali Gooya +6
The exploitation of large-scale population data has the potential to improve healthcare by discovering and understanding patterns and trends within this data. To enable high throug…
2D Reconstruction of Small Intestine's Interior Wall
Rahman Attar, Xiang Xie, Zhihua Wang +1
Examining and interpreting of a large number of wireless endoscopic images from the gastrointestinal tract is a tiresome task for physicians. A practical solution is to automatical…