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11/18/2022
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
Automatic segmentation of head and neck cancer (HNC) tumors and lymph no...
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05/30/2022
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
The advances in machine learning (ML) have greatly improved AI-based dia...
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02/16/2022
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Age-related macular degeneration (AMD) is the leading cause of visual im...
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07/22/2019
Automatic detection of multiple pathologies in fundus photographs using spin-off learning
In the last decades, large datasets of fundus photographs have been coll...
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06/27/2019
CaDIS: Cataract Dataset for Image Segmentation
Video signals provide a wealth of information about surgical procedures ...
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06/27/2019
CaDSS: Cataract Dataset for Semantic Segmentation
Video signals provide a wealth of information about surgical procedures ...
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02/25/2019
Unsupervised learning-based long-term superpixel tracking
Finding correspondences between structural entities decomposing images i...
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10/04/2017
Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks
With an estimated 19 million operations performed annually, cataract sur...
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10/22/2016
Deep image mining for diabetic retinopathy screening
Deep learning is quickly becoming the leading methodology for medical im...
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10/18/2016
Real-time analysis of cataract surgery videos using statistical models
The automatic analysis of the surgical process, from videos recorded dur...
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09/19/2016