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09/18/2023
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification
An ugly duckling is an obviously different skin lesion from surrounding ...
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09/01/2023
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review
Skin lesions known as naevi exhibit diverse characteristics such as size...
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07/14/2023
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction
The prediction of mild cognitive impairment (MCI) conversion to Alzheime...
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03/24/2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction
Deep neural networks have been widely studied for predicting a medical c...
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03/10/2023
Explainable Semantic Medical Image Segmentation with Style
Semantic medical image segmentation using deep learning has recently ach...
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03/02/2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Deep neural networks have demonstrated promising performance on image re...
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02/17/2023
PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI
Sparse reconstruction is an important aspect of modern medical imaging, ...
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12/15/2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Metric learning aims to learn distances from the data, which enhances th...
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11/30/2022
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
In medical image analysis, automated segmentation of multi-component ana...
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10/01/2022
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data
Accurate medical classification requires a large number of multi-modal d...
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09/28/2022
Efficient block contrastive learning via parameter-free meta-node approximation
Contrastive learning has recently achieved remarkable success in many do...
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04/27/2022
SCGC : Self-Supervised Contrastive Graph Clustering
Graph clustering discovers groups or communities within networks. Deep l...
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03/24/2022
Transformer Compressed Sensing via Global Image Tokens
Convolutional neural networks (CNN) have demonstrated outstanding Compre...
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03/07/2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Magnetic resonance (MR) images exhibit various contrasts and appearances...
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10/21/2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping
While Graph Neural Networks have gained popularity in multiple domains, ...
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08/02/2021
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform
Sampling strategies are important for sparse imaging methodologies, espe...
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03/31/2021
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI
MRI images of the same subject in different contrasts contain shared inf...
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11/27/2020
Manipulating Medical Image Translation with Manifold Disentanglement
Medical image translation (e.g. CT to MR) is a challenging task as it re...
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07/07/2020
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI
Previous studies on computer aided detection/diagnosis (CAD) in 4D breas...
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06/28/2020
Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis
Deep neural networks are parameterised by weights that encode feature re...
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06/28/2019