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09/17/2023
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Deep neural networks are commonly used for automated medical image segme...
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09/14/2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Computational pathology uses artificial intelligence to enable precision...
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12/14/2022
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision
Automated medical image segmentation using deep neural networks typicall...
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07/05/2021
Label noise in segmentation networks : mitigation must deal with bias
Imperfect labels limit the quality of predictions learned by deep neural...
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05/28/2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
A recent strategy to circumvent the exploding and vanishing gradient pro...
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04/02/2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively chall...
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02/25/2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a...
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01/22/2019
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Modelling long-term dependencies is a challenge for recurrent neural net...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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07/24/2017
Liver lesion segmentation informed by joint liver segmentation
We propose a model for the joint segmentation of the liver and liver les...
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01/31/2017
On orthogonality and learning recurrent networks with long term dependencies
It is well known that it is challenging to train deep neural networks an...
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08/14/2016
The Importance of Skip Connections in Biomedical Image Segmentation
In this paper, we study the influence of both long and short skip connec...
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08/31/2015
