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09/21/2023
Multi-Task Cooperative Learning via Searching for Flat Minima
Multi-task learning (MTL) has shown great potential in medical image ana...
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08/08/2023
Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis
Manually grading structural changes with the modified Stoke Ankylosing S...
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02/07/2023
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray
Reliable vertebrae annotations are key to perform analysis of spinal X-r...
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12/12/2022
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
Diabetic retinopathy (DR) is a complication of diabetes, and one of the ...
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07/12/2022
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images
Manual annotation of vertebrae on spinal X-ray imaging is costly and tim...
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06/04/2022
Recurrent Image Registration using Mutual Attention based Network
Image registration is an important task in medical imaging which estimat...
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03/07/2022
Residual Aligner Network
Image registration is important for medical imaging, the estimation of t...
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11/06/2021
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Segmentation of head and neck (H&N) tumours and prediction of patient ou...
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01/25/2021
D-Net: Siamese based Network with Mutual Attention for Volume Alignment
Alignment of contrast and non-contrast-enhanced imaging is essential for...
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11/18/2019
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
To improve the performance of most neuroimiage analysis pipelines, brain...
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04/18/2016
