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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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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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06/02/2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
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06/26/2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
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11/19/2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
Gliomas are the most common malignant brain tumourswith intrinsic hetero...
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08/28/2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Brain MR image segmentation is a key task in neuroimaging studies. It is...
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05/10/2017
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
A major challenge in brain tumor treatment planning and quantitative eva...
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03/27/2017