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12/06/2022
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Whole slide images (WSI) are microscopy images of stained tissue slides ...
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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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05/06/2021
Sparse convolutional context-aware multiple instance learning for whole slide image classification
Whole slide microscopic slides display many cues about the underlying ti...
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04/06/2021
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)
This report summarizes work performed as part of an internship at INRIA,...
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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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09/03/2020
Multimodal brain tumor classification
Cancer is a complex disease that provides various types of information d...
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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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12/05/2019