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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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11/23/2021
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Deformable registration consists of finding the best dense correspondenc...
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07/23/2021
Exploring Deep Registration Latent Spaces
Explainability of deep neural networks is one of the most challenging an...
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05/10/2021
Weakly supervised pan-cancer segmentation tool
The vast majority of semantic segmentation approaches rely on pixel-leve...
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10/30/2020
Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks
Brain tumor segmentation is a critical task for patient's disease manage...
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10/21/2020
Deep learning based registration using spatial gradients and noisy segmentation labels
Image registration is one of the most challenging problems in medical im...
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04/10/2020
Weakly supervised multiple instance learning histopathological tumor segmentation
Histopathological image segmentation is a challenging and important topi...
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11/05/2018